| 2022 | Scalable Linear Shallow Autoencoder for Collaborative Filtering. | Vojtech Vancura, Rodrigo Alves, Petr Kasalick, Pavel Kordk |
| 2022 | Improving Recommender Systems with Human-in-the-Loop. | Dmitry Ustalov, Natalia Fedorova, Nikita Pavlichenko |
| 2022 | A Cosmetic Differences Visualization System for Beauty Recommendation using the Scores of Various Evaluation Items. | Mayumi Ueda, Sayaka Yabe, Da Li, Shinsuke Nakajima |
| 2022 | Do Recommender Systems Make Social Media More Susceptible to Misinformation Spreaders? | Antonela Tommasel, Filippo Menczer |
| 2022 | Matching Theory-based Recommender Systems in Online Dating. | Yoji Tomita, Riku Togashi, Daisuke Moriwaki |
| 2022 | KA-Recsys: Knowledge Appropriate Patient Focused Recommendation Technologies. | Khushboo Thaker |
| 2022 | Estimating Long-term Effects from Experimental Data. | Ziyang Tang, Yiheng Duan, Steven Zhu, Stephanie Zhang, Lihong Li |
| 2022 | Designing and evaluating explainable AI for non-AI experts: challenges and opportunities. | Maxwell Szymanski, Katrien Verbert, Vero Vanden Abeele |
| 2022 | Multiwinner Election Mechanisms for Diverse Personalized Bayesian Recommendations for the Tourism Domain. | Errikos Streviniotis, Georgios Chalkiadakis |
| 2022 | Examining Choice Overload across Single-list and Multi-list User Interfaces. | Alain Starke, Justyna Sedkowska, Mihir Chouhan, Bruce Ferwerda |
| 2022 | Boosting Health? Examining the Role of Nutrition Labels and Preference Elicitation Methods in Food Recommendation. | Alain Starke, Ayoub El Majjodi, Christoph Trattner |
| 2022 | Knowledge-aware Recommendations Based on Neuro-Symbolic Graph Embeddings and First-Order Logical Rules. | Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro |
| 2022 | Conversational Recommender System Using Deep Reinforcement Learning. | Omprakash Sonie |
| 2022 | FAccTRec 2022: The 5th Workshop on Responsible Recommendation. | Nasim Sonboli, Toshihiro Kamishima, Amifa Raj, Luca Belli, Robin Burke |
| 2022 | Recommender Systems and Algorithmic Hate. | Jessie J. Smith, Lucia Jayne, Robin Burke |
| 2022 | Developing a Human-Centered Framework for Transparency in Fairness-Aware Recommender Systems. | Jessie J. Smith |
| 2022 | Serendipity in Recommender Systems Beyond the Algorithm: a Feature Repository and Experimental Design. | Annelien Smets, Lien Michiels, Toine Bogers, Lennart Bjrneborn |
| 2022 | Dynamic Surrogate Switching: Sample-Efficient Search for Factorization Machine Configurations in Online Recommendations. | Blaz Skrlj, Adi Schwartz, Jure Ferlez, Davorin Kopic, Naama Ziporin |
| 2022 | Client Time Series Model: a Multi-Target Recommender System based on Temporally-Masked Encoders. | Dirk Sierag, Kevin Zielnicki |
| 2022 | Adversary or Friend? An adversarial Approach to Improving Recommender Systems. | Pannaga Shivaswamy, Dario Garca-Garca |
| 2022 | Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation. | Karthik Shivaram, Ping Liu, Matthew A. Shapiro, Mustafa Bilgic, Aron Culotta |
| 2022 | Fourth Workshop on Recommender Systems in Fashion and Retail - fashionXrecsys2022. | Reza Shirvany, Humberto Jess Corona Pampn |
| 2022 | M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations. | Walid Shalaby, Sejoon Oh, Amir Afsharinejad, Srijan Kumar, Xiquan Cui |
| 2022 | Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization. | Bruno Massoni Sguerra, Viet-Anh Tran, Romain Hennequin |
| 2022 | Making Smart Recommendations for Perishable and Stockout Products. | Sinan Seymen, Anna-Lena Sachs, Edward C. Malthouse |