| 2022 | Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-shelf. | Michael Soprano, Kevin Roitero, Francesco Bombassei De Bona, Stefano Mizzaro |
| 2022 | Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations. | Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie |
| 2022 | Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-Commerce. | Uriel Singer, Haggai Roitman, Yotam Eshel, Alexander Nus, Ido Guy, Or Levi, Idan Hasson, Eliyahu Kiperwasser |
| 2022 | Attributed Graph Modeling with Vertex Replacement Grammars. | Satyaki Sikdar, Neil Shah, Tim Weninger |
| 2022 | Using Conjunctions for Faster Disjunctive Top-k Queries. | Michal Siedlaczek, Antonio Mallia, Torsten Suel |
| 2022 | Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs. | Hyeonjeong Shin, Taehyung Kwon, Neil Shah, Kijung Shin |
| 2022 | Diversified Query Generation Guided by Knowledge Graph. | Xinyao Shen, Jiangjie Chen, Jiaze Chen, Chun Zeng, Yanghua Xiao |
| 2022 | Evaluating Mixed-initiative Conversational Search Systems via User Simulation. | Ivan Sekulic, Mohammad Aliannejadi, Fabio Crestani |
| 2022 | Retrieving Black-box Optimal Images from External Databases. | Ryoma Sato |
| 2022 | Enumerating Fair Packages for Group Recommendations. | Ryoma Sato |
| 2022 | Understanding and Mitigating the Effect of Outliers in Fair Ranking. | Fatemeh Sarvi, Maria Heuss, Mohammad Aliannejadi, Sebastian Schelter, Maarten de Rijke |
| 2022 | On Sampling Collaborative Filtering Datasets. | Noveen Sachdeva, Carole-Jean Wu, Julian J. McAuley |
| 2022 | Time Masking for Temporal Language Models. | Guy D. Rosin, Ido Guy, Kira Radinsky |
| 2022 | A Simple but Effective Bidirectional Framework for Relational Triple Extraction. | Feiliang Ren, Longhui Zhang, Xiaofeng Zhao, Shujuan Yin, Shilei Liu, Bochao Li |
| 2022 | Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation. | Ruihong Qiu, Zi Huang, Hongzhi Yin, Zijian Wang |
| 2022 | Scope-aware Re-ranking with Gated Attention in Feed. | Hao Qian, Qintong Wu, Kai Zhang, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jun Zhou, Jinjie Gu |
| 2022 | Experiments with Predictive Long Term Guardrail Metrics. | Sri Sri Perangur |
| 2022 | EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs. | Namyong Park, Fuchen Liu, Purvanshi Mehta, Dana Cristofor, Christos Faloutsos, Yuxiao Dong |
| 2022 | Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation. | Sung-Jun Park, Dong-Kyu Chae, Hong-Kyun Bae, Sumin Park, Sang-Wook Kim |
| 2022 | Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation. | Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei |
| 2022 | RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems. | Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong |
| 2022 | Reconfiguration Problems on Submodular Functions. | Naoto Ohsaka, Tatsuya Matsuoka |
| 2022 | Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction. | Dai Quoc Nguyen, Vinh Tong, Dinh Q. Phung, Dat Quoc Nguyen |
| 2022 | Successes and Opportunities in Enterprise AI. | Vijay K. Narayanan |
| 2022 | Fact-Checking, Fake News, Propaganda, Media Bias, and the COVID-19 Infodemic. | Preslav Nakov, Giovanni Da San Martino, Firoj Alam |