| 2023 | Towards Multi-Interest Pre-training with Sparse Capsule Network. | Zuoli Tang, Lin Wang, Lixin Zou, Xiaolu Zhang, Jun Zhou, Chenliang Li |
| 2023 | Dynamic Graph Evolution Learning for Recommendation. | Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li |
| 2023 | LogicRec: Recommendation with Users' Logical Requirements. | Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner |
| 2023 | Multi-order Matched Neighborhood Consistent Graph Alignment in a Union Vector Space. | Wei Tang, Haifeng Sun, Jingyu Wang, Qi Qi, Jing Wang, Hao Yang, Shimin Tao |
| 2023 | SCHash: Speedy Simplicial Complex Neural Networks via Randomized Hashing. | Xuan Tan, Wei Wu, Chuan Luo |
| 2023 | Personalized Stock Recommendation with Investors' Attention and Contextual Information. | Takehiro Takayanagi, Kiyoshi Izumi, Atsuo Kato, Naoyuki Tsunedomi, Yukina Abe |
| 2023 | Personalized Dynamic Recommender System for Investors. | Takehiro Takayanagi, Chung-Chi Chen, Kiyoshi Izumi |
| 2023 | Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for Recommendation. | Liangcai Su, Fan Yan, Jieming Zhu, Xi Xiao, Haoyi Duan, Zhou Zhao, Zhenhua Dong, Ruiming Tang |
| 2023 | Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. | Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen |
| 2023 | Take a Fresh Look at Recommender Systems from an Evaluation Standpoint. | Aixin Sun |
| 2023 | TripSafe: Retrieving Safety-related Abnormal Trips in Real-time with Trajectory Data. | Yueyang Su, Di Yao, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Lu Bai, Jingping Bi |
| 2023 | TIB AV-Analytics: A Web-based Platform for Scholarly Video Analysis and Film Studies. | Matthias Springstein, Markos Stamatakis, Margret Plank, Julian Sittel, Roman Mauer, Oksana Bulgakowa, Ralph Ewerth, Eric Mller-Budack |
| 2023 | tieval: An Evaluation Framework for Temporal Information Extraction Systems. | Hugo O. Sousa, Ricardo Campos, Alpio Mrio Jorge |
| 2023 | The BETTER Cross-Language Datasets. | Ian Soboroff |
| 2023 | When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. | Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen |
| 2023 | Evaluating Task-oriented Dialogue Systems with Users. | Clemencia Siro |
| 2023 | Unsupervised Query Performance Prediction for Neural Models with Pairwise Rank Preferences. | Ashutosh Singh, Debasis Ganguly, Suchana Datta, Craig MacDonald |
| 2023 | Exploring Scenarios of Uncertainty about the Users' Preferences in Interactive Recommendation Systems. | Ncollas Silva, Thiago Silva, Henrique Hott, Yan Ribeiro, Adriano C. M. Pereira, Leonardo Rocha |
| 2023 | Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation. | Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang |
| 2023 | MDDL: A Framework for Reinforcement Learning-based Position Allocation in Multi-Channel Feed. | Xiaowen Shi, Ze Wang, Yuanying Cai, Xiaoxu Wu, Fan Yang, Guogang Liao, Yongkang Wang, Xingxing Wang, Dong Wang |
| 2023 | Exploration of Unranked Items in Safe Online Learning to Re-Rank. | Hiroaki Shiino, Kaito Ariu, Kenshi Abe, Riku Togashi |
| 2023 | Embedding Based Retrieval in Friend Recommendation. | Jiahui Shi, Vivek Chaurasiya, Yozen Liu, Shubham Vij, Yan Wu, Satya Kanduri, Neil Shah, Peicheng Yu, Nik Srivastava, Lei Shi, Ganesh Venkataraman, Jun Yu |
| 2023 | Contextual Multilingual Spellchecker for User Queries. | Sanat Sharma, Josep Valls-Vargas, Tracy Holloway King, Franois Guerin, Chirag Arora |
| 2023 | Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion with Embedding Dimension Scaling. | Bin Shang, Yinliang Zhao, Di Wang, Jun Liu |
| 2023 | Learning Fine-grained User Interests for Micro-video Recommendation. | Yu Shang, Chen Gao, Jiansheng Chen, Depeng Jin, Meng Wang, Yong Li |