Defense Against Model Extraction Attacks on Recommender Systems
Sixiao Zhang (Nanyang Technological University)*; Hongzhi Yin (The University of Queensland); Hongxu Chen (The University of Queensland); Cheng Long (Nanyang Technological University)
Motif-based Prompt Learning for Universal Cross-domain Recommendation
Bowen Hao (Captial Normal University)*; Chaoqun Yang (Griffith University); Lei Guo (Shandong Normal University); Junliang Yu (The University of Queesland); Hongzhi Yin (The University of Queensland)
To Copy, or not to Copy; That is a Critical Issue of the Output Softmax Layer in Neural Sequential Recommenders
Haw-shiuan Chang (Amazon)*; Nikhil Agarwal (Amazon.com); Andrew McCallum (Univ of Massachusetts Amherst)
Linear Recurrent Units for Sequential Recommendation
Zhenrui Yue (University of Illinois Urbana-Champaign); Yueqi Wang (University of California, Berkeley); Zhankui He (UC, San Diego)*; Huimin Zeng (University of Illinois at Urbana-Champaign); Julian McAuley (UCSD); Dong Wang (University of Illinois Urbana-Champaign)
User Behavior Enriched Temporal Knowledge Graph for Sequential Recommendation
Hengchang Hu (National University of Singapore)*; Wei Guo (Huawei Noah’s Ark Lab); Xu Liu (National University of Singapore); Yong Liu (Huawei); Ruiming Tang (Huawei Noah’s Ark Lab); Rui Zhang (ruizhang.info); Min-Yen Kan (National University of Singapore)
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation
Xiuyuan Qin (Soochow University)*; Huanhuan Yuan (Soochow University); Pengpeng Zhao (Soochow University); Guanfeng Liu (Macquarie University); Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University); Victor S. Sheng (Texas Tech University)
Budgeted Embedding Table For Recommender Systems
Yunke Qu (The University of Queensland)*; Tong Chen (The University of Queensland); Quoc Viet Hung Nguyen (Griffith University); Hongzhi Yin (The University of Queensland)
Pre-trained Recommender Systems: A Causal Debiasing Perspective
Ziqian Lin (University of Wisconsin–Madison)*; Hao Ding (AWS AI Lab); Nghia Trong Hoang (Washington State University); Branislav Kveton (AWS AI Labs); Anoop Deoras (Amazon); Hao Wang (Rutgers University)
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation
Shuyao Wang (University of Science and Technology of China)*; Yongduo Sui (University of Science and Technology of China); Jiancan Wu (University of Science and Technology of China); Zhi Zheng (University of Science and Technology of China); Hui Xiong (Hong Kong University of Science and Tech)
PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation
Chunjing Gan (Ant Group)*; Bo Huang (Ant Group); Binbin Hu (Ant Group); Jian Ma (Ant Group); Zhiqiang Zhang (Ant Group); Jun Zhou (Ant Financial); Guannan Zhang (Ant Group); WENLIANG ZHONG (Ant Group)
MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation
Wenze Ma (Shanghai Jiao Tong University)*; Yuexian Wang (Shanghai Jiao Tong University); Yanmin Zhu (Shanghai Jiao Tong University); Zhaobo Wang (Shanghai Jiao Tong University); Mengyuan Jing (Shanghai Jiao Tong University); Xuhao Zhao (Shanghai Jiao Tong University); Jiadi Yu (Shanghai Jiao Tong University); Feilong Tang (Shanghai Jiao Tong University)
Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation
Tianyu Zhu (University of Montreal)*; Yansong Shi (Tsinghua University); Yuan Zhang (Kuaishou Inc.); Yihong Wu (Université de Montréal); Fengran Mo (Université de Montréal); Jian-Yun Nie (Université de Montréal)
CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process
Xiaodong Li (Institute of Information Engineering, Chinese Academy of Sciences)*; Jiawei Sheng ( Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China); Jiangxia Cao (Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China); Tingwen Liu (Institute of Information Engineering, CAS); Wenyuan Zhang (Institute of Information Engineering, Chinese Academy of Sciences); Quangang Li (Institute of Information Engineering, CAS)
Inverse Learning with Extremely Sparse Feedback for Recommendation
Guanyu Lin (Carnegie Mellon University)*; Chen Gao (Tsinghua University); Yu Zheng (Tsinghua University); Yinfeng Li (Kuaishou Inc); Jianxin Chang (Kuaishou Inc); Yanan Niu (Kuaishou Inc); Yang Song (Kuaishou Technology); Kun Gai (AI); Zhiheng Li (Tsinghua University); Depeng Jin (Tsinghua University); Yong Li (Tsinghua University)
Contextual MAB Oriented Embedding Denoising for Sequential Recommendation
Zhichao Feng (Beijing University of Post and Telecommunications); Pengfei Wang (School of Computer Science, Beijing University of Posts and Telecommunications)*; Kaiyuan Li (Beijing University of Posts and Telecommunications); Chenliang Li (Wuhan University); Shangguang Wang (State Key Laboratory of Networking and Switching Technology)
Mixed Attention Network for Cross-domain Sequential Recommendation
Guanyu Lin (Carnegie Mellon University)*; Chen Gao (Tsinghua University); Yu Zheng (Tsinghua University); Jianxin Chang (Kuaishou Inc); Yanan Niu (Kuaishou Inc); Yang Song (Kuaishou Technology); Kun Gai (AI); Zhiheng Li (Tsinghua University ); Depeng Jin (Tsinghua University); Yong Li (Tsinghua University); Meng Wang (Institute of Artificial Intelligence, Hefei Comprehensive National Science Center)
Knowledge Graph Context-Enhanced Diversified Recommendation
Xiaolong Liu (University of Illinois at Chicago)*; Liangwei Yang (University of Illinois at Chicago); Zhiwei Liu (Salesforce); Mingdai Yang (University of Illinios at Chicago); Chen Wang (University of Illinois at Chicago); Hao Peng (Beihang University); Philip S Yu (UIC)
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights
Junchen Fu (Westlake University)*; Fajie Yuan (Westlake University); Yu Song (Westlake University); Zheng Yuan (Westlake University); Mingyue Cheng (University of Science and Technology of China); Shenghui Cheng (Westlake University); Jiaqi Zhang (Westlake University); Jie Wang (Westlake University); Yunzhu Pan (University of Electronic Science and Technology of China)
Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation
Yuhao Wang (City University of Hong Kong)*; Ziru Liu (City University Of HongKong ); Yichao Wang (Huawei Noah’s Ark Lab); Xiangyu Zhao (City University of Hong Kong); Bo Chen (Huawei Noah’s Ark Lab); Huifeng Guo (Huawei Noah’s Ark Lab); Ruiming Tang (Huawei Noah’s Ark Lab)
AutoPooling: Automated Pooling Search for Multi-valued Features in Recommendations
He Wei (Tencent Inc.)*; Meixi Liu (Machine learning platform department, Tencent TEG); Yang Zhang (Tencent Inc)
C^2DR: Robust Cross-Domain Recommendation based on Causal Disentanglement
Menglin Kong (Central South University); Jia Wang (Xi’an Jiaotong-Liverpool University)*; Yushan Pan (Xi’an Jiaotong-Liverpool University); Haiyang Zhang (Xi’an Jiaotong-Liverpool University); Muzhou Hou (Central South Uinversity)
Unified Pretraining for Recommendation via Task Hypergraphs
Mingdai Yang (University of Illinios at Chicago)*; Zhiwei Liu (Salesforce); Liangwei Yang (University of Illinois at Chicago); Xiaolong Liu (University of Illinois at Chicago); Chen Wang (University of Illinois at Chicago); Hao Peng (Beihang University); Philip S Yu (UIC)
SSLRec: A Self-Supervised Learning Library for Recommendation
Xubin Ren (the University of Hong Kong)*; Lianghao Xia (University of Hong Kong); Yuhao Yang (Wuhan University); Wei Wei (University of Hong Kong); Tianle Wang (HKU); Xuheng Cai (The University of Hong Kong); Chao Huang (University of Hong Kong)
Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation
Xiaolin Lin (Shenzhen University)*; Jinwei Luo (Shenzhen University); Junwei Pan (Tencent); Weike Pan (Shenzhen University); Zhong Ming (Shenzhen University); Xun Liu (Tencent); HUANG SHUDONG (tencent); Jie Jiang (Tencent Inc.)
LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting
Yimeng Bai (University of Science and Technology of China)*; Yang Zhang (University of Science and Technology of China); Jing Lu (Kuaishou Inc); Jianxin Chang (Kuaishou Inc); Xiaoxue Zang (Kuaishou Inc); Yanan Niu (Kuaishou); Yang Song (Kuaishou Technology); Fuli Feng (University of Science and Technology of China)
MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation
Yungi Kim (Hanyang University); Taeri Kim (Hanyang University); Won-Yong Shin (Yonsei University, Korea); Sang-Wook Kim (Hanyang University, Korea)*
RecJPQ: Training Large-Catalogue Sequential Recommenders
Aleksandr V Petrov (University of Glasgow)*; Craig Macdonald (University of Glasgow)
On the Effectiveness of Unlearning in Session-Based Recommendation
Xin Xin (Shandong University); Liu Yang (Shandong University)*; Ziqi Zhao (Shandong University); Pengjie Ren (Shandong University); Zhumin Chen (Shandong University); Jun Ma (Shandong University); Zhaochun Ren (Leiden University)
Proxy-based Item Representation for Attribute and Context-aware Recommendation
Jinseok Seol (Seoul National University)*; Minseok Gang (Seoul National University); Sang-goo Lee (Seoul National University); Jaehui Park (University of Seoul)
IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation
Kexin Zhang (Tsinghua University)*; Yichao Wang (Huawei Noah’s Ark Lab); Xiu Li (Tsinghua University); Ruiming Tang (Huawei Noah’s Ark Lab); Rui Zhang (ruizhang.info)
Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation
Zhibo Xiao (Alibaba Group)*; Luwei Yang (Alibaba Group); Tao Zhang (Alibaba Group); Wen Jiang (Alibaba Group); Wei Ning ( Alibaba Group); Yujiu Yang (Tsinghua University)
User Consented Federated Recommender System Against Personalized Attribute Inference Attack
Qi Hu (Hong Kong University of Science and Technology)*; Yangqiu Song (Hong Kong University of Science and Technology)
Neural Kalman Filtering for Robust Temporal Recommendation
Jiafeng Xia (Fudan University)*; Dongsheng Li (Microsoft Research Asia); Hansu Gu (Amazon.com); Tun Lu (Fudan University); Peng Zhang (Fudan University); Li Shang (Fudan University); Ning Gu (Fudan University)
Attribute Simulation for Item Embedding Enhancement in Multi-interest Recommendation
Yaokun Liu (Tianjin University)*; Xiaowang Zhang (Tianjin University); Minghui Zou (Tianjin University); Zhiyong Feng (Tianjin University)
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
Qijiong Liu (The Hong Kong Polytechnic University)*; NUO CHEN (Waseda University); Tetsuya Sakai (Waseda University); Xiao-Ming Wu (PolyU Hong Kong)
Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure
Jiyuan Yang (Shandong University)*; Yue Ding (Shanghai Jiao Tong University); YIDAN WANG (SHANDONG UNIVERSITY); Pengjie Ren (Shandong University); Zhumin Chen (Shandong University); Fei Cai (National University of Defense Technology); Jun Ma (Shandong University); Rui Zhang (ruizhang.info); Zhaochun Ren (Leiden University); Xin Xin (Shandong University)
Knowledge Graph Diffusion Model for Recommendation
Yangqin Jiang (University of Hong Kong)*; Yuhao Yang (Wuhan University); Lianghao Xia (University of Hong Kong); Chao Huang (University of Hong Kong)
Large Language Models for Data Aumgnetation in Recommendation
Wei Wei (University of Hong Kong)*; Xubin Ren (the University of Hong Kong); Jiabin Tang (University of Hong Kong); Qinyong Wang (Baidu Inc); Lixin Su (University of Chinese Academy of Sciences); Suqi Cheng (Baidu Inc.); junfeng wang (Baidu); Dawei Yin (Baidu); Chao Huang (University of Hong Kong)
Interact with the Explanations: Causal Debiased Explainable Recommendation System
Xu Liu (Shanghai Jiao Tong University); Tong Yu (Adobe Research); Kaige Xie (Georgia Institute of Technology); Junda Wu (New York University); Shuai Li (Shanghai Jiao Tong University)*
Global Heterogeneous Graph and Target Interest Denoising for Multi-behavior Sequential Recommendation
Xuewei Li (Tianjin University); Hongwei Chen (College of Intelligence and Computing, Tianjin University)*; Jian Yu (Tianjin University); Mankun Zhao (Tianjin University); Tianyi Xu (Tianjin University); Wenbin Zhang (Information and Network Center, Tianjin University); Mei Yu (Tianjin University)
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems
Dugang Liu (Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen University)*; Chaohua Yang (Shenzhen University); Xing Tang (Tencent); Yejing Wang (City University of Hongkong); Fuyuan Lyu (McGill University); weihong luo (tencent); Xiuqiang He (Tencent); Zhong Ming (Shenzhen University); Xiangyu Zhao (City University of Hong Kong)
Learning Alignment and Compactness in Collaborative Filtering
Huiyuan Chen (Visa Research)*; Vivian Lai (Visa Research); Hongye Jin (Texas A&M University); Zhimeng Jiang (Texas A&M University); Mahashweta Das (Visa Research); Xia Hu (Rice University)
Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction
Xiaoqiang Gui (Shandong University)*; Yueyao Cheng (Alibaba Group); Xiang-Rong Sheng (Alibaba Group); Yunfeng Zhao (Shandong University); Guoxian Yu (Shandong University); Shuguang Han (Alibaba Inc.); Yuning Jiang (Alibaba Group); Jian Xu (Alibaba Group); Bo Zheng (Alibaba Group)
Calibration-compatible Listwise Distillation of Privileged Features for CTR Prediction
Xiaoqiang Gui (Shandong University)*; Yueyao Cheng (Alibaba Group); Xiang-Rong Sheng (Alibaba Group); Yunfeng Zhao (Shandong University); Guoxian Yu (Shandong University); Shuguang Han (Alibaba Inc.); Yuning Jiang (Alibaba Group); Jian Xu (Alibaba Group); Bo Zheng (Alibaba Group)
Cost-Effective Active Learning for Bid Exploration in Online Advertising
Zixiao Wang (Shanghai Jiao Tong University)*; Zhenzhe Zheng (Shanghai Jiao Tong University); Yanrong Kang (Tencent); Jiani Huang (Shanghai Jiao Tong University)
Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices
Jing Zhu (University of Michigan, Ann Arbor)*; Yuhang Zhou (University of Maryland); Vassilis N. Ioannidis (University of Minnesota); Shengyi Qian (University of Michigan); Wei Ai (University of Maryland); Xiang Song (Amazon AWS); Danai Koutra (U Michigan)
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction
Yakun Wang (Ant Group)*; Binbin Hu (Ant Group); Shuo Yang (Ant Group); Meiqi Zhu (Ant Group); Zhiqiang Zhang (Ant Group); Qiyang Zhang (Ant Group); Jun Zhou (Ant Financial); Guo Ye (antgroup); HUIMEI HE (antgroup)
Yanling Wang, Yuchen Liu, Qian Wang, Cong Wang and Chenliang Li
Zepeng Huai, Yuji Yang, Mengdi Zhang, Zhongyi Zhang, Yichun Li and Wu Wei
Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen and Zhao Cao
Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng and Hongzhi Yin
Chunyang Wang, Yanmin Zhu, Aixin Sun, Zhaobo Wang and Ke Wang
Zizhuo Zhang and Bang Wang
Zhiying Deng, Jianjun Li, Zhiqiang Guo, Wei Liu, Li Zou and Guohui Li
Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie and Tat-Seng Chua
Qian Chen, Zhiqiang Guo, Jianjun Li and Guohui Li
Ncollas Silva, Thiago Silva, Henrique Hott, Yan Ribeiro, Adriano Pereira and Leonardo Rocha
Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong and Meng Wang
Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo and Ruiming Tang
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li and Dongjin Yu
Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou and Meng Wang
Ziwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin and Enhong Chen
Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou and Kun Gai
Kibum Kim, Dongmin Hyun, Sukwon Yun and Chanyoung Park
Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang and Zhenhua Dong
Sheshera Mysore, Mahmood Jasim, Andrew Mccallum and Hamed Zamani
Jiayu Li, Peijie Sun, Zhefan Wang, Weizhi Ma, Yangkun Li, Min Zhang, Zhoutian Feng and Daiyue Xue
Hao Jiang, Chuanzhen Li, Juanjuan Cai and Jingling Wang
Wei He, Guohao Sun, Jinhu Lu and Xiu Susie Fang
Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie and Tat-Seng Chua
Guanghui Zhu, Wang Lu, Chunfeng Yuan and Yihua Huang
Jihu Wang, Yuliang Shi, Han Yu, Xinjun Wang, Zhongmin Yan and Fanyu Kong
Shuaiyang Li, Dan Guo, Kang Liu, Richang Hong and Feng Xue
Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong and Ruiming Tang
Shicheng Wang, Shu Guo, Lihong Wang, Tingwen Liu and Hongbo Xu
Zhaobo Wang, Yanmin Zhu, Chunyang Wang, Wenze Ma, Bo Li and Jiadi Yu
Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang and Xiangnan He
Xiaodong Yan, Tengwei Song, Yifeng Jiao, Jianshan He, Jiaotuan Wang, Ruopeng Li and Wei Chu
Xinjun Zhu, Yuntao Du, Yuren Mao, Lu Chen, Yujia Hu and Yunjun Gao
Yuyang Ren, Zhang Haonan, Luoyi Fu, Xinbing Wang and Chenghu Zhou
Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng and Xu Chen
Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He and Yongdong Zhang
Zefan Wang, Hao Chen, Xiao Huang, Yufeng Qian, Zhetao Li and Feiran Huang
Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li and Peng Jiang
Naoto Ohsaka and Riku Togashi
Jaewan Moon, Hye Young Kim and Jongwuk Lee
Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie and Jibing Gong
Heeyoon Yang, Gahyung Kim, Jee-Hyong Lee and YunSeok Choi
Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He and Tat-Seng Chua
Siyu Wang, Xiaocong Chen, Lina Yao and Dietmar Jannach
Zhiyu Yuan, Kai Ren, Gang Wang and Xin Miao
Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen and Hongzhi Yin
Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon Jose and Xin Xin
Sen Zhao, Wei Wei, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen, Dangyang Chen and Feida Zhu
Mengyue Yang, Jun Wang and Jean-Francois Ton
Ran Li, Liang Zhang, Guannan Liu and Junjie Wu
Chaoliu Li, Chao Huang, Lianghao Xia, Xubin Ren, Yaowen Ye and Yong Xu
Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon Jose, Maarten de Rijke and Zhaochun Ren
Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang and Ruiming Tang
Xubin Ren, Chao Huang, Lianghao Xia, Jiashu Zhao and Dawei Yin
Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu and Victor S Sheng
Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng and Hongzhi Yin
Zhenchao Wu and Xiao Zhou
Haoran Tang, Shiqing Wu, Guandong Xu and Qing Li
Langming Liu, Xiangyu Zhao, Chi Zhang, Jingtong Gao, Wanyu Wang, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu and Qing Li
Jinghao Zhang, Qiang Liu, Shu Wu and Liang Wang
Yaowen Ye, Chao Huang and Lianghao Xia
Zhe Fu, Xi Niu and Li Yu
Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai and Ji-Rong Wen
Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou and Xiao Huang
Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu and Victor Sheng
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang and Ning Gu
Jeongwhan Choi, Seoyoung Hong, Noseong Park and Sung-Bae Cho
Yushun Dong, Jundong Li and Tobias Schnabel
Chengkai Huang, Shoujin Wang, Xianzhi Wang and Lina Yao
Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Yong Li and Meng Wang
Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen and Xiang Wang
Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu and Victor S Sheng
Xiao Zhang, Ziming Ye, Jianfeng Lu, Fuzhen Zhuang, Yanwei Zheng and Dongxiao Yu
Ashutosh Nayak, Mayur Garg and Rajasekhara Reddy Duvvuru Muni
在所接收的短文列表中推荐系统相关话题主要包括：会话推荐、点击率预估、因果推荐系统、图对比推荐系统、基于评论的推荐系统、序列推荐、冷启动推荐等。
https://sigir.org/sigir2023/program/accepted-papers/short-papers/
具体的短文推荐系统相关标题整理如下：
Kai Ouyang, Xianghong Xu, Miaoxin Chen, Zuotong Xie, Hai-Tao Zheng, Shuangyong Song and Yu Zhao
Ran Le, Guoqing Jiang, Xiufeng Shu, Ruidong Han, Qianzhong Li, Yacheng Li, Xiang Li and Wei Lin
Oleg Lesota, Gustavo Escobedo, Yashar Deldjoo, Bruce Ferwerda, Simone Kopeinik, Elisabeth Lex, Navid Rekabsaz and Markus Schedl
Congcong Liu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jinghe Hu and Jingping Shao
Hitesh Sagtani, Madan Gopal Jhawar, Akshat Gupta and Rishabh Mehrotra
Jinyun Li, Huiwen Zheng, Yuanlin Liu, Minfang Lu, Lixia Wu and Haoyuan Hu
Fan Zhang and Qijie Shen
Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang and Philip S Yu
Felice Antonio Merra, Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta and Alberto Carlo Maria Mancino
Tianchi Cai, Shenliao Bao, Jiyan Jiang, Shiji Zhou, Wenpeng Zhang, Lihong Gu, Jinjie Gu and Guannan Zhang
Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang and Dong Wang
Wei Yang, Tengfei Huo, Zhiqiang Liu and Chi Lu
Andreea Iana, Goran Glava and Heiko Paulheim
Takehiro Takayanagi, Chung-Chi Chen and Kiyoshi Izumi
Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma and Irwin King
Lu Fan, Jiashu Pu, Rongsheng Zhang and Xiao-Ming Wu
An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang and Julian McAuley
Xiongfeng Xiao, Qing Li, Songlin Liu and Kun Zhou
Viet Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra and Romain Hennequin
Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das and Hao Yang
Yang Zhang, Yue Shen, Dong Wang, Jinjie Gu and Guannan Zhang
Yi Ren, Hongyan Tang, Jiangpeng Rong and Siwen Zhu
Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin and Yong Li
Patrik Dokoupil, Ladislav Peska and Ludovico Boratto
Jae-woong Lee, Seongmin Park, Mincheol Yoon and Jongwuk Lee
Sebastian Schelter, Mozhdeh Ariannezhad and Maarten de Rijke
Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong and Ruiming Tang
Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang and Scott Sanner
Yan Zhou, Jie Guo, Hao Sun, Bin Song and Fei Richard Yu
Fangyuan Luo and Jun Wu
Jingyuan Li, Yue Zhang, Xuan Lin, Xinxing Yang, Ge Zhou, Longfei Li, Hong Chen and Jun Zhou
Ziheng Chen, Jia Wang, Gabriele Tolomei, Fabrizio Silvestri and Yongfeng Zhang
Yang Zhang, Yulong Huang, Qifan Wang, Chenxu Wang and Fuli Feng
Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu and Qing He
Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang and Rui Zhang
Ngozi Ihemelandu and Michael D Ekstrand
Siyu Wang, Xiaocong Chen, Quan Z Sheng, Yihong Zhang and Lina Yao
Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao and Xueqi Cheng
Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He and Xu Min
Xiangkui Lu, Jun Wu and Jianbo Yuan
1. Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach
2. An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations
3. Recommender Systems with Generative Retrieval
4. Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation
5. Estimating Propensity for Causality-based Recommendation without Exposure Data
6. REFINE: A Fine-Grained Medication Recommendation System Using Deep Learning and Personalized Drug Interaction Modeling
7. Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
8. Lending Interaction Wings to Recommender Systems with Conversational Agents
9. KuaiSim: A Comprehensive Simulator for Recommender Systems
10. On the Relationship Between Relevance and Conflict in Online Social Link Recommendations
11. Multi-Objective Intrinsic Reward Learning for Conversational Recommender Systems
12. Supply-Side Equilibria in Recommender Systems
13. UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition
14. Cascading Bandits: Optimizing Recommendation Frequency in Delayed
15. Rethinking Incentives in Recommender Systems: Are Monotone Rewards Always Beneficial?
16. REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths
17. Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking
18. Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
19. Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns
20. Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
SPM: Structured Pretraining and Matching Architectures for Relevance Modeling in Meituan Search?
#相关性匹配 #预训练 #美团?
#https://arxiv.org/pdf/2308.07711.pdf
FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction?
#特征交叉 #CTR预估 #新浪?
#https://arxiv.org/pdf/2209.05016.pdf
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems?
#序列推荐 #图神经网络 # 多模态?
#https://arxiv.org/pdf/2308.15980.pdf
RecRec: Algorithmic Recourse for Recommender System?
#可解释性推荐 #Pinterest?
#https://arxiv.org/pdf/2308.14916.pdf
Text Matching Improves Sequential Recommendation by Reducing Popularity Biases?
#序列推荐 #消偏?
#https://arxiv.org/pdf/2308.14029.pdf
Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System?
#负反馈 #短视频推荐 #快手?
#https://arxiv.org/pdf/2308.13249.pdf
KuaiSAR: A Unified Search And Recommendation Dataset?
#数据集 #快手?
#https://arxiv.org/pdf/2306.07705.pdf
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start Recommendation?
#元学习 #冷启动推荐?
#https://arxiv.org/pdf/2302.14640.pdf
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation?
#序列推荐 #Transformer?
#https://arxiv.org/pdf/2205.08776.pdf
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation?
#图神经网络?
#https://arxiv.org/pdf/2308.14949.pdf
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning?
#群体识别 #超图 #自监督学习?
#https://arxiv.org/pdf/2308.08620.pdf
Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning?
#图神经网络 #用户建模 #亚马逊?
#https://arxiv.org/pdf/2308.09943.pdf
Homophily-enhanced Structure Learning for Graph Clustering?
#图聚类 #图结构学习?
#https://arxiv.org/pdf/2308.05309.pdf
Dual Intents Graph Modeling for User-centric Group Discovery?
#群组推荐 #群体识别 #图神经网络?
#https://arxiv.org/pdf/2308.05013.pdf
Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework?
#消偏 #因果推荐 #短视频推荐 #快手?
#https://arxiv.org/pdf/2306.17426.pdf
All about Sample-Size Calculations for A/B Testing: Novel Extensions & Practical Guide?
#A/B测试 #线上评估 #苹果?
#https://arxiv.org/pdf/2305.16459.pdf
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems?
#推荐公平性 #可解释性?
#https://arxiv.org/pdf/2308.12083.pdf
How Expressive are Graph Neural Networks in Recommendation??
#图神经网络 #推荐?
#https://arxiv.org/pdf/2308.11127.pdf
Single-User Injection for Invisible Shilling Attack against Recommender Systems?
#推荐攻击 #对抗攻击?
#https://arxiv.org/pdf/2308.10467.pdf
Large Language Models as Zero-Shot Conversational Recommenders?
#对话推荐 #语言模型 #公开数据集?
#https://arxiv.org/pdf/2308.10053.pdf
MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement?
#会话推荐 #自监督学习 #音乐推荐?
#https://arxiv.org/pdf/2308.09649.pdf
SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems?
#模型压缩 #特征选择 #快手?
#https://arxiv.org/pdf/2308.09395.pdf
AutoSeqRec: Autoencoder for Efficient Sequential Recommendation?
#序列推荐 #自编码?
#https://arxiv.org/pdf/2308.06878.pdf
Toward a Better Understanding of Loss Functions for Collaborative Filtering?
#协同过滤 #损失函数 #alignment and uniformity?
#https://arxiv.org/pdf/2308.06091.pdf
Deep Context Interest Network for Click-Through Rate Prediction?
#CTR预估 #用户行为建模 #美团?
#https://arxiv.org/pdf/2308.06037.pdf
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation?
#多任务学习 #行为建模 #阿里?
#https://arxiv.org/pdf/2308.05996.pdf
Multi-domain Recommendation with Embedding Disentangling and Domain Alignment?
#多域推荐 #信息解耦?
#https://arxiv.org/pdf/2308.05508.pdf
Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation?
#多行为推荐 #多任务学习?
#https://arxiv.org/pdf/2308.04807.pdf
Entire Space Cascade Delayed Feedback Modeling for Effective Conversion Rate Prediction?
#CVR预估 #样本选择 #阿里?
#https://arxiv.org/pdf/2308.04768.pdf
Scalable Neural Contextual Bandit for Recommender Systems?
#强化学习 #EE问题 #MetaAI?
#https://arxiv.org/pdf/2306.14834.pdf
1. Towards Universal Cross-Domain Recommendation
2. IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation
3. Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation
4. One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation
5. Slate-Aware Ranking for Recommendation
6. Knowledge Enhancement for Contrastive Multi-Behavior Recommendation
7. Disentangled Representation for Diversified Recommendations
8. Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation
9. Self-Supervised Group Graph Collaborative Filtering for Group Recommendation
10. Calibrated Recommendations as a Maximum Flow Problem
11. DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation
12. Multi-Intentions Oriented Contrastive Learning for Sequential Recommendation
13. Generative Slate Recommendation with Reinforcement Learning
14. MUSENET: Multi-Scenario Learning for Repeat-Aware Personalized Recommendation
15. A Personalized Neighborhood-based Model for Within-basket Recommendation in Grocery Shopping
16. SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation
17. Relation Preference oriented High-order Sampling for Recommendation
18. Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation
19. Exploiting Explicit and Implicit Item relationships for Session-based Recommendation
20. Range Restricted Route Recommendation Based on Spatial Keyword
21. Meta Policy Learning for Cold-Start Conversational Recommendation
22. Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network
23. Improving News Recommendation with Channel-Wise Dynamic Representations and Contrastive User Modeling
24. Simplifying Graph-based Collaborative Filtering for Recommendation
25. AutoGen: An Automated Dynamic Model Generation Framework for Recommender System
26. A Causal View for Item-level Effect of Recommendation on User Preference
27. Federated Unlearning for On-Device Recommendation
28. Explicit Counterfactual Data Augmentation for Recommendation
29. Uncertainty Quantification for Fairness in Two-Stage Recommender Systems
30. DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation
31. Unbiased Knowledge Distillation for Recommendation
32. VRKG4Rec: Virtual Relational Knowledge Graph for Recommendation
33. Knowledge-Adaptive Contrastive Learning for Recommendation
34. Heterogeneous Graph Contrastive Learning for Recommendation
35. Disentangled Negative Sampling for Collaborative Filtering
36. Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking
37. A Bird’s-eye View of Reranking: from List Level to Page Level
38. CL4CTR: A Contrastive Learning Framework for CTR Prediction
39. Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation
40. Pairwise Fairness in Ranking as a Dissatisfaction Measure
41. Marginal-Certainty-aware Fair Ranking Algorithm
42. An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages
1.?Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion
n Code：https://github.com/amazon-research/
n Area：Others
2.?POEM: Polarization of Embeddings for Domain-Invariant Representations
n Code：None
n Area：领域泛化(DG)
3.?EMEF: Ensemble Multi-Exposure Image Fusion
n Code：https://github.com/medalwill/EMEF
n Area：多曝光图像融合 (MEF)?
4.?AdversarialWord Dilution as Text Data Augmentation in Low-Resource Regime
n Code：None
n Area：数据增强
5.?"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion
n Code：https://github.com/ZexueHe/Med-DEPEN
n Area：医学报告语义消歧
6.?Instance Smoothed Contrastive Learning for Unsupervised Sentence Embedding
n Code：https://github.com/dll-wu/IS-CSE
n Area：无监督句子嵌入
7.?FastAMI -- a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics
n Code：https://github.com/mad-lab-fau/fastami-benchmark
n Area：聚类
8.?A Parameterized Theory of PAC Learning
n Code：None
n Area：PAC学习
9.?Multi-Modality Deep Network for Extreme Learned Image Compression
n Code：None
n Area：图像压缩
10.?ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
n Code：https://github.com/Whut-YiRong/ESPT
n Area：小样本图像分类
11.?Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem
n Code：None
n Area：旅行商问题（Traveling Salesman Problem，TSP）
12.?H-TSP: Hierarchically Solving the Large-Scale Travelling Salesman Problem
n Code：None
n Area：旅行商问题（Traveling Salesman Problem，TSP）
13.?Forecasting with Sparse but Informative Variables: A Case Study in Predicting Blood Glucose
n Code：None
n Area：时间序列预测
14.?Meta-Auxiliary Learning for Adaptive Human Pose Prediction
n Code：None
n Area：人体姿态预测
15.?Data-Efficient Image Quality Assessment with Attention-Panel Decoder
n Code：https://github.com/narthchin/DEIQT
n Area：图像质量评估
16.?Neural Diffeomorphic Non-uniform B-spline Flows
n Code：https://github.com/smhongok/Non-uniform-B-spline-Flow
n Area：Others
17.?Grouped Knowledge Distillation for Deep Face Recognition
n Code：None
n Area：人脸识别
18.?Nearest-Neighbor Sampling Based Conditional Independence Testing
n Code：None
n Area：Others
19.?Continual Graph Convolutional Network for Text Classification
n Code：https://github.com/Jyonn/ContGCN
n Area：图卷积网络应用于文本分类
20.?Can Adversarial Networks Make Uninformative Colonoscopy Video Frames Clinically Informative?
n Code：None
n Area：对抗网络
21.?Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA
n Code：None
n Area：多模态文本视觉问答
22.?FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction
n Code：https://xpai.github.io/FinalMLP
n Area：推荐系统CTR预测
23.?Rethinking interpretation: Input-agnostic saliency mapping of deep visual classifiers
n Code：None
n Area：Others
24.?Scalable Bayesian Meta-Learning through Generalized Implicit Gradients
n Code：None
n Area：元学习
25.?Boosting Few-Shot Text Classification via Distribution Estimation
n Code：None
n Area：少样本文本分类
26.?Learning Second-Order Attentive Context for Efficient Correspondence Pruning
n Code：None
n Area：对应修剪
27.?GANTEE: Generative Adversatial Network for Taxonomy Entering Evaluation
n Code：None
n Area：生成对抗网络
28.?Learning Fractals by Gradient Descent
n Code：https://github.com/andytu28/LearningFractals
n Area：分形
29.?Heterogeneous-Branch Collaborative Learning for Dialogue Generation
n Code：None
n Area：对话生成
30.?Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation
n Code：https://sites.google.com/view/bidirectional-domain-mixup
n Area：域自适应语义分割
31.?On the Calibration and Uncertainty with Pólya-Gamma Augmentation for Dialog Retrieval Models
n Code：None
n Area：对话检索
32.?CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying
n Code：https://github.com/NiFangBaAGe/CoordFill
n Area：图像修复
33.?Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers
n Code：None
n Area：正则化离散最优传输
34.?Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse
n Code：https://github.com/Grasshlw/SNN-Neural-Similarity
n Area：Others
35.?Conceptual Reinforcement Learning for Language-Conditioned Tasks
n Code：None
n Area：深度强化学习
36.?Optimal Sparse Recovery with Decision Stumps
n Code：None
n Area：决策树
37.?Finite Based Contraction and Expansion via Models
n Code：None
n Area：Others
38.?Adaptive Texture Filtering for Single-Domain Generalized Segmentation
n Code：None
n Area：语义分割域泛化
39.?Properties of Position Matrices and Their Elections
n Code：None
n Area：Others
40.?Few-Shot Defect Image Generation via Defect-Aware Feature Manipulation
n Code：https://github.com/Ldhlwh/DFMGAN
n Area：少样本缺陷图像生成
41.?Self-Asymmetric Invertible Network for Compression-Aware Image Rescaling
n Code：https://github.com/yang-jin-hai/SAIN
n Area：图像缩放
42.?Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
n Code：None
n Area：时间序列因果分析
43.?Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning
n Code：None
n Area：语义分割域泛化
44.?ParaFormer: Parallel Attention Transformer for Efficient Feature Matching
n Code：None
n Area：特征匹配
45.?Exploiting Multiple Abstractions in Episodic RL via Reward Shaping
n Code：None
n Area：强化学习
46.?Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning
n Code：https://github.com/tenvence/cpl
n Area：深度序数分类
47.?Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting
n Code：https://github.com/weifantt/Dish-TS
n Area：时间序列预测
48.?City-scale Pollution Aware Traffic Routing by Sampling Max Flows using MCMC
n Code：None
n Area：Others
49.?Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation
n Code：https://github.com/fanqieCoffee/SITN-Supplement
n Area：跨域推荐
50.?Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions
n Code：https://github.com/MIRALab-USTC/RL-CBM
n Area：强化学习
51.?FTM: A Frame-level Timeline Modeling Method for Temporal Graph Representation Learning
n Code：https://github.com/yeeeqichen/FTM
n Area：时间图表示学习
52.?FiTs: Fine-grained Two-stage Training for Knowledge-aware Question Answering
n Code：https://github.com/yeeeqichen/FiTs
n Area：知识感知问答
53.?GLUECons: A Generic Benchmark for Learning Under Constraints
n Code：None
n Area：集成学习
54.?Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network
n Code：https://github.com/LetheSec/PLG-MI-Attack
n Area：模型反转 (MI) 攻击
55.?CMVAE: Causal Meta VAE for Unsupervised Meta-Learning
n Code：https://github.com/GuodongQi/CMVAE
n Area：无监督元学习
56.?Rethinking Data-Free Quantization as a Zero-Sum Game
n Code：https://github.com/hfutqian/AdaSG
n Area：无数据量化 (DFQ)
57.?Delving into the Adversarial Robustness of Federated Learning
n Code：None
n Area：联邦学习
58.?Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences
n Code：https://github.com/YujieOuO/PSTL.git
n Area：骨架动作识别
59.?Multimodal Propaganda Processing
n Code：None
n Area：多模态
60.?Find Beauty in the Rare: Contrastive Composition Feature Clustering for Nontrivial Cropping Box Regression
n Code：None
n Area：自动图像裁剪
61.?Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking
n Code：None
n Area：对话状态跟踪（DST）
62.?Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations
n Code：https://pykt.org/
n Area：知识追踪 (KT)
63.?Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation
n Code：None
n Area：视觉语言导航 (VLN)
64.?RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL
n Code：https://github.com/RUCKBReasoning/RESDSQL
n Area：预训练语言模型
65.?Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning
n Code：None
n Area：Others
66.?RAFaRe: Learning Robust and Accurate Non-parametric 3D Face Reconstruction from Pseudo 2D&3D Pairs
n Code：http://github.com/zhuhao-nju/rafare
n Area：3D人脸重建
67.?BEST: BERT Pre-Training for Sign Language Recognition with Coupling Tokenization
n Code：None
n Area：预训练语言模型
68.?Symbolic Metamodels for Interpreting Black-boxes Using Primitive Functions
n Code：None
n Area：机器学习可解释性
69.?Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks
n Code：None
n Area：图重建攻击（GRA）
70.?A Vector Quantized Approach for Text to Speech Synthesis on Real-World Spontaneous Speech
n Code：https://github.com/b04901014/MQTTS
n Area：语音合成
71.?Hierarchical Event Grounding
n Code：https://github.com/JefferyO/Hierarchical-Event-Grounding
n Area：Others
72.?WAT: Improve the Worst-class Robustness in Adversarial Training
n Code：None
n Area：对抗鲁棒性
73.?On Generalized Degree Fairness in Graph Neural Networks
n Code：None
n Area：图神经网络
74.?ShiftDDPMs: Exploring Conditional Diffusion Models by Shifting Diffusion Trajectories
n Code：None
n Area：Diffusion Models
75.?Efficient End-to-End Video Question Answering with Pyramidal Multimodal Transformer
n Code：https://github.com/Trunpm/PMT-AAAI23
n Area：视频问答
76.?Reducing ANN-SNN Conversion Error through Residual Membrane Potential
n Code：https://github.com/hzc1208/ANN2SNN
n Area：尖峰神经网络（SNNs）
77.?Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding
n Code：None
n Area：表示学习
78.?Continual Learning with Scaled Gradient Projection
n Code：https://github.com/sahagobinda/SGP
n Area：持续学习
79.?IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation
n Code：https://github.com/Juzezhang/IKOL
n Area：3D人体姿态估计
80.?Meta Learning in Decentralized Neural Networks: Towards More General AI
n Code：None
n Area：元学习
81.?PAC learning and stabilizing Hedonic Games: towards a unifying approach
n Code：None
n Area：PAC学习
82.?Feature-Space Bayesian Adversarial Learning Improved Malware Detector Robustness
n Code：None
n Area：恶意软件检测
83.?Key Feature Replacement of In-Distribution Samples for Out-of-Distribution Detection
n Code：None
n Area：分布外(OOD)检测
84.?Tagging before Alignment: Integrating Multi-Modal Tags for Video-Text Retrieval
n Code：None
n Area：视频文本检索
85.?AudioEar: Single-View Ear Reconstruction for Personalized Spatial Audio
n Code：https://github.com/seanywang0408/AudioEar
n Area：3D声音渲染
86.?Towards Inference Efficient Deep Ensemble Learning
n Code：https://seqml.github.io/irene
n Area：集成学习
87.?Efficient Enumeration of Markov Equivalent DAGs
n Code：None
n Area：Others
88.?Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation
n Code：None
n Area：推荐系统
89.?Reachability Analysis of Neural Network Control Systems
n Code：https://github.com/TrustAI/DeepNNC
n Area：神经网络控制器
90.?Qualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content
n Code：None
n Area：Others
91.?Latent Autoregressive Source Separation
n Code：None
n Area：Others
92.?On the Vulnerability of Backdoor Defenses for Federated Learning
n Code：None
n Area：联邦学习
93.?Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment
n Code：None
n Area：域泛化
94.?Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training
n Code：None
n Area：Others
95.?Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing
n Code：None
n Area：文本到 SQL 解析
96.?Towards Voice Reconstruction from EEG during Imagined Speech
n Code：None
n Area：语音合成
97.?Memory-Augmented Theory of Mind Network
n Code：None
n Area：Others
98.?TA-DA: Topic-Aware Domain Adaptation for Scientific Keyphrase Identification and Classification
n Code：None
n Area：关键短语识别和分类
99.?Prompting Neural Machine Translation with Translation Memories
n Code：None
n Area：机器翻译
100.?SHUNIT: Style Harmonization for Unpaired Image-to-Image Translation
n Code：https://github.com/bluejangbaljang/SHUNIT
n Area：图像到图像翻译
101.?Learnable Path in Neural Controlled Differential Equations
n Code：None
n Area：Others
102.?Neighborhood-Regularized Self-Training for Learning with Few Labels
n Code：https://github.com/ritaranx/NeST
n Area：Others
103.?WLD-Reg: A Data-dependent Within-layer Diversity Regularizer
n Code：https://github.com/firasl/AAAI-23-WLD-Reg
n Area：Others
104.?Correlation Loss: Enforcing Correlation between Classification and Localization
n Code：https://github.com/fehmikahraman/CorrLoss
n Area：目标检测
105.?Analogical Inference Enhanced Knowledge Graph Embedding
n Code：None
n Area：知识图嵌入
106.?Task-specific Scene Structure Representations
n Code：https://github.com/jsshin98/
n Area：Others
107.?On the Challenges of using Reinforcement Learning in Precision Drug Dosing: Delay and Prolongedness of Action Effects
n Code：None
n Area：强化学习
108.?Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
n Code：https://github.com/GRAPH-0/CDGS
n Area：Diffusion Models
109.?Self-organization Preserved Graph Structure Learning with Principle of Relevant Information
n Code：None
n Area：Others
110.?Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning
n Code：https://github.com/YellowPancake/TCIL
n Area：增量学习
111.?Model-Based Reinforcement Learning with Multinomial Logistic Function Approximation
n Code：None
n Area：强化学习
112.?Infusing Definiteness into Randomness: Rethinking Composition Styles for Deep Image Matting
n Code：https://github.com/coconuthust/composition
n Area：图像抠图
113.?Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos
n Code：None
n Area：噪声标签学习
114.?Don't Be So Sure! Boosting ASR Decoding via Confidence Relaxation
n Code：None
n Area：自动语音识别
115.?Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based Method
n Code：https://github.com/TaoWangzj/LLFormer
n Area：低光图像增强
116.?Generalization Bounds for Inductive Matrix Completion in Low-noise Settings
n Code：None
n Area：Others
117.?RWEN-TTS: Relation-aware Word Encoding Network for Natural Text-to-Speech Synthesis
n Code：None
n Area：文本转语音
118.?Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction
n Code：None
n Area：强化学习
119.?Interactive Concept Bottleneck Models
n Code：https://github.com/google-research/google_research/tree/master/interactive_cbms
n Area：概念瓶颈模型 (CBM)
120.?Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
n Code：None
n Area：Others
121.?Mitigating Artifacts in Real-World Video Super-Resolution Models
n Code：https://github.com/TencentARC/FastRealVSR
n Area：视频超分辨率
122.?Efficient Exploration in Resource-Restricted Reinforcement Learning
n Code：None
n Area：强化学习
123.?Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-grained Student Ensemble
n Code：https://github.com/zenhjunpro/ATSEN
n Area：NER
124.?Estimating Geographic Spillover Effects of COVID-19 Policies From Large-Scale Mobility Networks
n Code：https://github.com/snap-stanford/covid-spillovers
n Area：Others
125.?HOTCOLD Block: Fooling Thermal Infrared Detectors with a Novel Wearable Design
n Code：https://github.com/weihui1308/HOTCOLDBlock
n Area：对抗攻击
126.?SEPT: Towards Scalable and Efficient Visual Pre-Training
n Code：None
n Area：自监督预训练
127.?Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense
n Code：None
n Area：联邦推荐
128.?MAPS-KB: A Million-scale Probabilistic Simile Knowledge Base
n Code：https://github.com/Abbey4799/MAPS-KB
n Area：Others
129.?Networked Restless Bandits with Positive Externalities
n Code：https://github.com/crherlihy/networked_restless_bandits
n Area：Others
130.?VASR: Visual Analogies of Situation Recognition
n Code：https://vasr-dataset.github.io/
n Area：Others
131.?Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing
n Code：None
n Area：人脸反欺骗
132.?Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations
n Code：https://github.com/YuyingZhao/FairExplanations-CFA
n Area：机器学习可解释性
133.?Learning Continuous Depth Representation via Geometric Spatial Aggregator
n Code：https://github.com/nana01219/GeoDSR
n Area：深度图超分辨率
134.?Selector-Enhancer: Learning Dynamic Selection of Local and Non-local Attention Operation for Speech Enhancement
n Code：https://github.com/XinmengXu/Selector
n Area：语音增强
135.?FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer
n Code：https://github.com/JieShibo/PETL-ViT
n Area：ViT
136.?Fast Online Hashing with Multi-Label Projection
n Code：None
n Area：Others
137.?Knowledge-Bridged Causal Interaction Network for Causal Emotion Entailment
n Code：https://github.com/circle-hit/KBCIN
n Area：Others
138.?SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud
n Code：https://github.com/yinjunbo/SSDA3D
n Area：点云3D目标检测
139.?Domain-General Crowd Counting in Unseen Scenarios
n Code：https://github.com/ZPDu/Domain-general-Crowd-Counting-in-Unseen-Scenarios
n Area：图像计数
140.?Hierarchical Contrast for Unsupervised Skeleton-based Action Representation Learning
n Code：https://github.com/HuiGuanLab/HiCo
n Area：无监督骨架动作识别
141.?Exploring Stroke-Level Modifications for Scene Text Editing
n Code：https://github.com/qqqyd/MOSTEL
n Area：场景文本编辑 (STE)
142.?Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering
n Code：None
n Area：无监督联邦学习
143.?Improving End-to-end Speech Translation by Leveraging Auxiliary Speech and Text Data
n Code：None
n Area：语音翻译
144.?KPT: Keyword-guided Pre-training for Grounded Dialog Generation
n Code：None
n Area：对话生成
145.?RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning
n Code：https://github.com/tencent-ailab/RLogist
n Area：全幻灯片图像 (WSI)
146.?Exploring Stochastic Autoregressive Image Modeling for Visual Representation
n Code：https://github.com/qiy20/SAIM
n Area：自回归语言建模 (ALM)
147.?FedALA: Adaptive Local Aggregation for Personalized Federated Learning
n Code：https://github.com/TsingZ0/FedALA
n Area：联邦学习
148.?Improving Simultaneous Machine Translation with Monolingual Data
n Code：https://github.com/hexuandeng/Mono4SiMT
n Area：同步机器翻译 (SiMT)
149.?SumREN: Summarizing Reported Speech about Events in News
n Code：https://github.com/amazon-science/SumREN
n Area：Others
150.?Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables
n Code：None
n Area：开放域对话生成
151.?MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series
n Code：None
n Area：无监督时间序列表示学习
152.?RIPPLE: Concept-Based Interpretation for Raw Time Series Models in Education
n Code：https://github.com/epfl-ml4ed/ripple/
n Area：时间序列
153.?Stable Learning via Sparse Variable Independence
n Code：None
n Area：Others
154.?A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling
n Code：https://github.com/guozixunnicolas/FundamentalMusicEmbedding
n Area：语音信号处理
155.?Integer Subspace Differential Privacy
n Code：None
n Area：Others
156.?When Neural Networks Fail to Generalize? A Model Sensitivity Perspective
n Code：https://github.com/DIAL-RPI/Spectral-Adversarial-Data-Augmentation
n Area：域泛化 (DG)
157.?Neural Representations Reveal Distinct Modes of Class Fitting in Residual Convolutional Networks
n Code：https://github.com/mjamroz90/dnn-class-fitting
n Area：Others
158.?SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition
n Code：None
n Area：可穿戴人体活动识别
159.?What do you MEME? Generating Explanations for Visual Semantic Role Labelling in Memes
n Code：https://github/com/LCS2-IIITD/LUMEN-Explaining-Memes.
n Area：Others
160.?Purifier: Defending Data Inference Attacks via Transforming Confidence Scores
n Code：None
n Area：Others
161.?Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View
n Code：None
n Area：图异常检测（GAD）
162.?FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning
n Code：https://github.com/yuleiqin/fopro
n Area：网络监督学习 (WSL)
163.?Language Model Pre-training on True Negatives
n Code：None
n Area：预训练语言模型
164.?Learning to Select from Multiple Options
n Code：https://github.com/jiangshdd/LearningToSelect
n Area：文本蕴含
165.?Learning Combinatorial Structures via Markov Random Fields with Sampling through Lovász Local Lemma
n Code：None
n Area：Others
166.?CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection
n Code：https://github.com/4DVLab/CL3D.git
n Area：LiDAR 3D检测
167.?Experimental Observations of the Topology of Convolutional Neural Network Activations
n Code：None
n Area：拓扑数据分析
168.?Weakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular Camera and Single LiDAR
n Code：https://github.com/4DVLab/FusionPose.git
n Area：3D多人姿态估计
169.?Learning Motion-Robust Remote Photoplethysmography through Arbitrary Resolution Videos
n Code：https://github.com/LJW-GIT/Arbitrary_Resolution_rPPG
n Area：Others
170.?NeAF: Learning Neural Angle Fields for Point Normal Estimation
n Code：https://github.com/lisj575/NeAF
n Area：神经角度场（NeAF）
171.?Logic and Commonsense-Guided Temporal Knowledge Graph Completion
n Code：https://github.com/ngl567/LCGE
n Area：时间知识图补全
172.?Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch Representation
n Code：https://github.com/CMACH508/SP-gra2seq
n Area：图形草图表示
173.?Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection
n Code：https://github.com/Quinn777/CAP
n Area：Others
174.?Which Shortcut Solution Do Question Answering Models Prefer to Learn?
n Code：None
n Area：QA
175.?Quantization-aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks
n Code：None
n Area：Others
176.?Understanding and Enhancing Robustness of Concept-based Models
n Code：None
n Area：Others
177.?Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning
n Code：None
n Area：强化学习
178.?Similarity Distribution based Membership Inference Attack on Person Re-identification
n Code：None
n Area：行人重识别
179.?An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks
n Code：None
n Area：时间序列预测
180.?Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing
n Code：None
n Area：因果学习
181.?Efficient Mirror Detection via Multi-level Heterogeneous Learning
n Code：https://github.com/Catherine-R-He/
n Area：Others
182.?DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding
n Code：https://github.com/IDEA-Research/DQ-DETR
n Area：Others
183.?MicroAST: Towards Super-Fast Ultra-Resolution Arbitrary Style Transfer
n Code：https://github.com/EndyWon/MicroAST
n Area：风格迁移
184.?Generalized Category Discovery with Decoupled Prototypical Network
n Code：https://github.com/Lackel/DPN
n Area：广义类别发现
185.?LoNe Sampler: Graph node embeddings by coordinated local neighborhood sampling
n Code：None
n Area：Others
186.?VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning
n Code：https://github.com/UARK-AICV/VLTinT
n Area：视频段落字幕
187.?STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction
n Code：None
n Area：情感分析
188.?PUnifiedNER: A Prompting-based Unified NER System for Diverse Datasets
n Code：None
n Area：NER
189.?Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models
n Code：https://github.com/MAEHCM/AET
n Area：Others
190.?Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks
n Code：None
n Area：异构信息网络
191.?Spatio-Temporal Meta-Graph Learning for Traffic Forecasting
n Code：https://github.com/deepkashiwa20/MegaCRN
n Area：时间序列预测
192.?Maximizing the Probability of Fixation in the Positional Voter Model
n Code：None
n Area：Others
193.?Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling
n Code：None
n Area：Others
194.?Language-Assisted 3D Feature Learning for Semantic Scene Understanding
n Code：https://github.com/Asterisci/Language-Assisted-3D
n Area：语义场景理解
195.?Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
n Code：None
n Area：无监督图表示学习
196.?ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation
n Code：None
n Area：无监督前景-背景分割
197.?Estimating Regression Predictive Distributions with Sample Networks
n Code：https://samplenet.github.io/
n Area：估计深度神经网络预测
198.?GAN Prior based Null-Space Learning for Consistent Super-Resolution
n Code：https://github.com/wyhuai/RND
n Area：超分辨率
199.?Minority-Oriented Vicinity Expansion with Attentive Aggregation for Video Long-Tailed Recognition
n Code：https://github.com/wjun0830/MOVE
n Area：视频长尾识别
200.?NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs
n Code：None
n Area：复杂查询回答
Anay Mehrotra and Nisheeth K. Vishnoi
Jessie J. Smith, Lex Beattie and Henriette Cramer
Chen Xu, Sirui Chen, Jun Xu, Weiran Shen, Xiao Zhang, Gang Wang and Zhenhua Dong
Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Qing Li and Zhaoxiang Zhang
Jiahong Zhou, Shunhui Mao, Guoliang Yang, Bo Tang, Qianlong Xie, Lebin Lin, Xingxing Wang and Dong Wang
Yu Wang, Yuying Zhao, Yi Zhang and Tyler Derr
Jiajie Su, Xiaolin Zheng, Weiming Liu, Fei Wu, Chaochao Chen and Haoming Lyu
Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu and Philip Yu
Liang Qu, Ningzhi Tang, Ruiqi Zheng, Quoc Viet Hung Nguyen, Zi Huang, Yuhui Shi and Hongzhi Yin
Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiajie Su, Xinting Liao, Mengling Hu and Yanchao Tan
Zhongxuan Han, Xiaolin Zheng, Chaochao Chen, Wenjie Cheng and Yang Yao
Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin and Shirui Pan
Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov and Jie Tang
Allen Lin, Ziwei Zhu, Jianling Wang and James Caverlee
Ruitao Zhu, Detao Lv, Yao Yu, Ruihao Zhu, Zhenzhe Zheng, Ke Bu, Quan Lu and Fan Wu
Wei Wei, Chao Huang, Lianghao Xia and Chuxu Zhang
Seongku Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie and Hwanjo Yu
Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao and Xiangnan He
Tianjun Wei, Jianghong Ma and Tommy W. S. Chow
Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Dong Zheng, Peng Jiang, Kun Gai, Ji Jiang, Xiangyu Zhao and Yongfeng Zhang
Xin Zhou, Hongyu Zhou, Yong Liu, Zhiwei Zeng, Chunyan Miao, Pengwei Wang, Yuan You and Feijun Jiang
Qingpeng Cai, Zhenghai Xue, Chi Zhang, Wanqi Xue, Shuchang Liu, Ruohan Zhan, Xueliang Wang, Tianyou Zuo, Wentao Xie, Dong Zheng, Peng Jiang and Kun Gai
Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong and Rui Zhang
Chuang Zhao, Hongke Zhao, Ming He, Jian Zhang and Jianping Fan
Zhenlei Wang and Xu Chen
Guanyu Lin, Chen Gao, Yu Zheng, Jianxin Chang, Yanan Niu, Yang Song, Zhiheng Li, Depeng Jin and Yong Li
Zhihui Zhou, Lilin Zhang and Ning Yang
Xiaoyu You, Chi Lee, Daizong Ding, Mi Zhang, Fuli Feng, Xudong Pan and Min Yang
Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li and Rui Zhang
Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu and Minghao Yin
Zixuan Xu, Penghui Wei, Shaoguo Liu, Weimin Zhang, Liang Wang and Bo Zheng
Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu and Ben Kao
Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou and Meng Wang
Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Quanming Yao and Dejing Dou
Rui Fan, Jin Chen, Yuanhao Pu, Zhihao Zhu, Defu Lian and Enhong Chen
Lingfeng Shi, Yuang Liu, Jun Wang and Wei Zhang
Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He and Hongzhi Yin
Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo and Kangyi Lin
Yizhou Chen, Guangda Huzhang, Qingtao Yu, Hui Sun, Heng-Yi Li, Jingyi Li, Yabo Ni, Anxiang Zeng, Han Yu and Zhiming Zhou
Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou and Xiangnan He
Yuhan Quan, Jingtao Ding, Chen Gao, Lingling Yi, Depeng Jin and Yong Li
Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Haochen Liu and Liu Zitao
Aseem Srivastava, Ishan Pandey, Md Shad Akhtar and Tanmoy Chakraborty
Taicheng Guo, Lu Yu, Basem Shihada and Xiangliang Zhang
Kesen Zhao, Lixin Zou, Xiangyu Zhao, Maolin Wang and Dawei Yin
Xu Huang, Defu Lian, Jin Chen, Liu Zheng, Xing Xie and Enhong Chen
Yupeng Hou, Zhankui He, Julian McAuley and Wayne Xin Zhao
Yupeng Hou, Zhankui He, Julian McAuley and Wayne Xin Zhao
Tangwei Ye, Liang Hu, Qi Zhang, Zhong Yuan Lai, Usman Naseem and Dora D. Liu
Zhiyong Cheng, Sai Han, Fan Liu, Lei Zhu, Zan Gao and Yuxin Peng
Muyang Li, Zijian Zhang, Xiangyu Zhao, Minghao Zhao, Runze Wu and Ruocheng Guo
Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen and Wei Wen
Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian and Enhong Chen
Kaiyuan Li, Pengfei Wang, Haitao Wang, Qiang Liu, Xingxing Wang, Dong Wang and Shangguang Wang
An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan and Tat-Seng Chua
Chengkai Huang, Shoujin Wang, Xianzhi Wang and Lina Yao
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang and Ning Gu
Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang and Kun Gai
Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng and Pengjie Ren
Hong Chen, Xin Wang, Ruobing Xie, Yuwei Zhou and Wenwu Zhu
Haoxuan Li, Yanghao Xiao, Chunyuan Zheng and Peng Wu
Yiqiao Jin, Yunsheng Bai, Yanqiao Zhu, Yizhou Sun and Wei Wang
Chi Zhang, Xiangyu Zhao, Rui Chen, Qilong Han and Li Li
Ziwei Fan, Zhiwei Liu, Hao Peng and Philip S Yu
Heeseon Kim, Hyeongjun Yang and Kyong-Ho Lee
Yuxin Ying, Fuzhen Zhuang, Yongchun Zhu, Deqing Wang and Hongwei Zheng
Bowei He, Xu He, Yingxue Zhang, Ruiming Tang and Chen Ma
Heesoo Jung, Hogun Park and Sangpil Kim
Haiyang Wu, He Wei, Yuekui Yang, Yangyang Tang, Meixi Liu and Jianfeng Li
Koby Bibas, Oren Sar Shalom and Dietmar Jannach
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao and Xing Xie
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao and Xing Xie
Yanling Wang, Yuchen Liu, Qian Wang, Cong Wang and Chenliang Li
Zepeng Huai, Yuji Yang, Mengdi Zhang, Zhongyi Zhang, Yichun Li and Wu Wei
Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen and Zhao Cao
Yunke Qu, Tong Chen, Xiangyu Zhao, Lizhen Cui, Kai Zheng and Hongzhi Yin
Chunyang Wang, Yanmin Zhu, Aixin Sun, Zhaobo Wang and Ke Wang
Zizhuo Zhang and Bang Wang
Zhiying Deng, Jianjun Li, Zhiqiang Guo, Wei Liu, Li Zou and Guohui Li
Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie and Tat-Seng Chua
Qian Chen, Zhiqiang Guo, Jianjun Li and Guohui Li
Ncollas Silva, Thiago Silva, Henrique Hott, Yan Ribeiro, Adriano Pereira and Leonardo Rocha
Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong and Meng Wang
Jingtong Gao, Xiangyu Zhao, Bo Chen, Fan Yan, Huifeng Guo and Ruiming Tang
Xinfeng Wang, Fumiyo Fukumoto, Jin Cui, Yoshimi Suzuki, Jiyi Li and Dongjin Yu
Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou and Meng Wang
Ziwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin and Enhong Chen
Jingcao Xu, Chaokun Wang, Cheng Wu, Yang Song, Kai Zheng, Xiaowei Wang, Changping Wang, Guorui Zhou and Kun Gai
Kibum Kim, Dongmin Hyun, Sukwon Yun and Chanyoung Park
Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang and Zhenhua Dong
Sheshera Mysore, Mahmood Jasim, Andrew Mccallum and Hamed Zamani
Jiayu Li, Peijie Sun, Zhefan Wang, Weizhi Ma, Yangkun Li, Min Zhang, Zhoutian Feng and Daiyue Xue
Hao Jiang, Chuanzhen Li, Juanjuan Cai and Jingling Wang
Wei He, Guohao Sun, Jinhu Lu and Xiu Susie Fang
Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie and Tat-Seng Chua
Guanghui Zhu, Wang Lu, Chunfeng Yuan and Yihua Huang
Jihu Wang, Yuliang Shi, Han Yu, Xinjun Wang, Zhongmin Yan and Fanyu Kong
Shuaiyang Li, Dan Guo, Kang Liu, Richang Hong and Feng Xue
Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong and Ruiming Tang
Shicheng Wang, Shu Guo, Lihong Wang, Tingwen Liu and Hongbo Xu
Zhaobo Wang, Yanmin Zhu, Chunyang Wang, Wenze Ma, Bo Li and Jiadi Yu
Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang and Xiangnan He
Xiaodong Yan, Tengwei Song, Yifeng Jiao, Jianshan He, Jiaotuan Wang, Ruopeng Li and Wei Chu
Xinjun Zhu, Yuntao Du, Yuren Mao, Lu Chen, Yujia Hu and Yunjun Gao
Yuyang Ren, Zhang Haonan, Luoyi Fu, Xinbing Wang and Chenghu Zhou
Rui Zhou, Xian Wu, Zhaopeng Qiu, Yefeng Zheng and Xu Chen
Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He and Yongdong Zhang
Zefan Wang, Hao Chen, Xiao Huang, Yufeng Qian, Zhetao Li and Feiran Huang
Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li and Peng Jiang
Naoto Ohsaka and Riku Togashi
Jaewan Moon, Hye Young Kim and Jongwuk Lee
Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie and Jibing Gong
Heeyoon Yang, Gahyung Kim, Jee-Hyong Lee and YunSeok Choi
Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He and Tat-Seng Chua
Siyu Wang, Xiaocong Chen, Lina Yao and Dietmar Jannach
Zhiyu Yuan, Kai Ren, Gang Wang and Xin Miao
Wei Yuan, Quoc Viet Hung Nguyen, Tieke He, Liang Chen and Hongzhi Yin
Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon Jose and Xin Xin
Sen Zhao, Wei Wei, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen, Dangyang Chen and Feida Zhu
Mengyue Yang, Jun Wang and Jean-Francois Ton
Ran Li, Liang Zhang, Guannan Liu and Junjie Wu
Chaoliu Li, Chao Huang, Lianghao Xia, Xubin Ren, Yaowen Ye and Yong Xu
Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon Jose, Maarten de Rijke and Zhaochun Ren
Yuhao Wang, Xiangyu Zhao, Bo Chen, Qidong Liu, Huifeng Guo, Huanshuo Liu, Yichao Wang, Rui Zhang and Ruiming Tang
Xubin Ren, Chao Huang, Lianghao Xia, Jiashu Zhao and Dawei Yin
Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu and Victor S Sheng
Jing Long, Tong Chen, Quoc Viet Hung Nguyen, Guandong Xu, Kai Zheng and Hongzhi Yin
Zhenchao Wu and Xiao Zhou
Haoran Tang, Shiqing Wu, Guandong Xu and Qing Li
Langming Liu, Xiangyu Zhao, Chi Zhang, Jingtong Gao, Wanyu Wang, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu and Qing Li
Jinghao Zhang, Qiang Liu, Shu Wu and Liang Wang
Yaowen Ye, Chao Huang and Lianghao Xia
Zhe Fu, Xi Niu and Li Yu
Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai and Ji-Rong Wen
Huachi Zhou, Hao Chen, Junnan Dong, Daochen Zha, Chuang Zhou and Xiao Huang
Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu and Victor Sheng
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang and Ning Gu
Jeongwhan Choi, Seoyoung Hong, Noseong Park and Sung-Bae Cho
Yushun Dong, Jundong Li and Tobias Schnabel
Chengkai Huang, Shoujin Wang, Xianzhi Wang and Lina Yao
Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Yong Li and Meng Wang
Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen and Xiang Wang
Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu and Victor S Sheng
Xiao Zhang, Ziming Ye, Jianfeng Lu, Fuzhen Zhuang, Yanwei Zheng and Dongxiao Yu
Ashutosh Nayak, Mayur Garg and Rajasekhara Reddy Duvvuru Muni
在所接收的短文列表中推荐系统相关话题主要包括：会话推荐、点击率预估、因果推荐系统、图对比推荐系统、基于评论的推荐系统、序列推荐、冷启动推荐等。
https://sigir.org/sigir2023/program/accepted-papers/short-papers/
具体的短文推荐系统相关标题整理如下：
Kai Ouyang, Xianghong Xu, Miaoxin Chen, Zuotong Xie, Hai-Tao Zheng, Shuangyong Song and Yu Zhao
Ran Le, Guoqing Jiang, Xiufeng Shu, Ruidong Han, Qianzhong Li, Yacheng Li, Xiang Li and Wei Lin
Oleg Lesota, Gustavo Escobedo, Yashar Deldjoo, Bruce Ferwerda, Simone Kopeinik, Elisabeth Lex, Navid Rekabsaz and Markus Schedl
Congcong Liu, Fei Teng, Xiwei Zhao, Zhangang Lin, Jinghe Hu and Jingping Shao
Hitesh Sagtani, Madan Gopal Jhawar, Akshat Gupta and Rishabh Mehrotra
Jinyun Li, Huiwen Zheng, Yuanlin Liu, Minfang Lu, Lixia Wu and Haoyuan Hu
Fan Zhang and Qijie Shen
Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang and Philip S Yu
Felice Antonio Merra, Vito Walter Anelli, Tommaso Di Noia, Daniele Malitesta and Alberto Carlo Maria Mancino
Tianchi Cai, Shenliao Bao, Jiyan Jiang, Shiji Zhou, Wenpeng Zhang, Lihong Gu, Jinjie Gu and Guannan Zhang
Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang, Xingxing Wang and Dong Wang
Wei Yang, Tengfei Huo, Zhiqiang Liu and Chi Lu
Andreea Iana, Goran Glava and Heiko Paulheim
Takehiro Takayanagi, Chung-Chi Chen and Kiyoshi Izumi
Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma and Irwin King
Lu Fan, Jiashu Pu, Rongsheng Zhang and Xiao-Ming Wu
An Yan, Zhankui He, Jiacheng Li, Tianyang Zhang and Julian McAuley
Xiongfeng Xiao, Qing Li, Songlin Liu and Kun Zhou
Viet Anh Tran, Guillaume Salha-Galvan, Bruno Sguerra and Romain Hennequin
Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das and Hao Yang
Yang Zhang, Yue Shen, Dong Wang, Jinjie Gu and Guannan Zhang
Yi Ren, Hongyan Tang, Jiangpeng Rong and Siwen Zhu
Taichi Liu, Chen Gao, Zhenyu Wang, Dong Li, Jianye Hao, Depeng Jin and Yong Li
Patrik Dokoupil, Ladislav Peska and Ludovico Boratto
Jae-woong Lee, Seongmin Park, Mincheol Yoon and Jongwuk Lee
Sebastian Schelter, Mozhdeh Ariannezhad and Maarten de Rijke
Zhiheng Zhang, Quanyu Dai, Xu Chen, Zhenhua Dong and Ruiming Tang
Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang and Scott Sanner
Yan Zhou, Jie Guo, Hao Sun, Bin Song and Fei Richard Yu
Fangyuan Luo and Jun Wu
Jingyuan Li, Yue Zhang, Xuan Lin, Xinxing Yang, Ge Zhou, Longfei Li, Hong Chen and Jun Zhou
Ziheng Chen, Jia Wang, Gabriele Tolomei, Fabrizio Silvestri and Yongfeng Zhang
Yang Zhang, Yulong Huang, Qifan Wang, Chenxu Wang and Fuli Feng
Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu and Qing He
Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang and Rui Zhang
Ngozi Ihemelandu and Michael D Ekstrand
Siyu Wang, Xiaocong Chen, Quan Z Sheng, Yihong Zhang and Lina Yao
Yuanhao Liu, Qi Cao, Huawei Shen, Yunfan Wu, Shuchang Tao and Xueqi Cheng
Ang Li, Jian Hu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He and Xu Min
Xiangkui Lu, Jun Wu and Jianbo Yuan
1. Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering
2. Improving Conversational Recommendation Systems via Counterfactual Data Simulation
3. LATTE: A Framework for Learning Item-Features to Make a Domain-Expert for Effective Conversational Recommendation
4. User-Regulation Deconfounded Conversational Recommender System with Bandit Feedback
5. Path-Specific Counterfactual Fairness for Recommender Systems
6. Meta multi-agent exercise recommendation: A game application perspective
7. Shilling Black-box Review-based Recommender Systems through Fake Review Generation
8. Generalized Matrix Local Low Rank Representation by Random Projection and Submatrix Propagation
9. Privacy Matters: Vertical Federated Linear Contextual Bandits for Privacy Protected Recommendation
10. Off-Policy Evaluation of Ranking Policies under Diverse User Behavior
11. Generative Flow Network for Listwise Recommendation
12. Text Is All You Need: Learning Language Representations for Sequential Recommendation
13. MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction
14. Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction
15. PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement
16. Efficient Bi-Level Optimization for Recommendation Denoising
17. Adaptive Disentangled Transformer for Sequential Recommendation
18. Meta Graph Learning for Long-tail Recommendation
19. Graph Neural Bandits
20. E-commerce Search via Content Collaborative Graph Neural Network
21. Criteria Tell you More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation
22. Knowledge Graph Self-Supervised Rationalization for Recommendation
23. On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering
24. Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay
25. Hierarchical Invariant Learning for Domain Generalization Recommendation
26. UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation
27. Debiasing Recommendation by Learning Identifiable Latent Confounders
28. Reconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective
29. Who should be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation
30. Unbiased Delayed Feedback Label Correction for Conversion Rate Prediction
31. A Sublinear Time Algorithm for Opinion Optimization in Directed Social Networks via Edge Recommendation
32. Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling
33. Contrastive Learning for User Sequence Representation in Personalized Product Search
34. Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling
35. Task Relation-aware Continual User Representation Learning