| 2022 | Hands on Explainable Recommender Systems with Knowledge Graphs. | Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras |
| 2022 | Identifying New Podcasts with High General Appeal Using a Pure Exploration Infinitely-Armed Bandit Strategy. | Maryam Aziz, Jesse Anderton, Kevin Jamieson, Alice Wang, Hugues Bouchard, Javed A. Aslam |
| 2022 | Combining IGA and KG for Serendipitous Learning Contents Recommendation. | Emmanuel Ayedoun, Satoko Inoue, Hiroshi Takenouchi, Masataka Tokumaru |
| 2022 | A Ranked Bandit Approach for Multi-stakeholder Recommender Systems. | Tahereh Arabghalizi, Alexandros Labrinidis |
| 2022 | On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models. | Rohan Anil, Sandra Gadanho, Da Huang, Nijith Jacob, Zhuoshu Li, Dong Lin, Todd Phillips, Cristina Pop, Kevin Regan, Gil I. Shamir, Rakesh Shivanna, Qiqi Yan |
| 2022 | How Neighborhood Exploration influences Novelty and Diversity in Graph Collaborative Filtering. | Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Daniele Malitesta, Claudio Pomo |
| 2022 | Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). | Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker |
| 2022 | Revisiting the performance evaluation of knowledge-aware recommender systems: are we making progress? | Marina Ananyeva, Oleg Lashinin, Maria Kuznetsova |
| 2022 | Towards Interaction-based User Embeddings in Sequential Recommender Models. | Marina Ananyeva, Oleg Lashinin, Veronika Ivanova, Sergey Kolesnikov, Dmitry I. Ignatov |
| 2022 | You Say Factorization Machine, I Say Neural Network - It's All in the Activation. | Chen Almagor, Yedid Hoshen |
| 2022 | Training and Deploying Multi-Stage Recommender Systems. | Ronay Ak, Benedikt Schifferer, Sara Rabhi, Gabriel de Souza Pereira Moreira |
| 2022 | Recommending the Duration of Stay in Personalized Travel Recommender Systems. | Abhishek Agarwal, Linus W. Dietz |
| 2022 | CARS: Workshop on Context-Aware Recommender Systems 2022. | Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger |
| 2022 | MORS 2022: The Second Workshop on Multi-Objective Recommender Systems. | Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou |
| 2022 | Monolith: Real Time Recommendation System with Collisionless Embedding Table. | Zhuoran Liu, Leqi Zou, Xuan Zou, Caihua Wang, Biao Zhang, Da Tang, Bolin Zhu, Yijie Zhu, Peng Wu, Ke Wang, Youlong Cheng |
| 2022 | Optimizing Semantic Enrichment of Biomedical Content through Knowledge Sharing. | Asim Abbas, Steve Fonin Mbouadeu, Avinash Bisram, Nadeem Iqbal, Fazel Keshtkar, Syed Ahmad Chan Bukhari |
| 2022 | Multi-Modal Dialog State Tracking for Interactive Fashion Recommendation. | Yaxiong Wu, Craig Macdonald, Iadh Ounis |
| 2022 | Fairness-aware Federated Matrix Factorization. | Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amlie Marian |
| 2021 | Recommender Systems Meet Species Distribution Modelling. | Indre Zliobaite |
| 2021 | Large-Scale Modeling of Mobile User Click Behaviors Using Deep Learning. | Xin Zhou, Yang Li |
| 2021 | Boosting Local Recommendations With Partially Trained Global Model. | Yuxi Zhang, Kexin Xie |
| 2021 | Building a Platform for Ensemble-based Personalized Research Literature Recommendations for AI and Data Science at Zeta Alpha. | Jakub Zavrel, Artem Grotov, Jonathan Mitnik |
| 2021 | Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES). | Eva Zangerle, Christine Bauer, Alan Said |
| 2021 | Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. | Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley |
| 2021 | Interactive Visualization of the Polarity-based Stance of News Websites using News Genres (short paper). | Masaharu Yoshioka, Norihiko Tatsunami, Masahiko Itoh, Noriko Kando, James Allan |