| 2022 | Maximal Likelihood Itinerary Planning with User Interaction Data. | Keisuke Otaki, Yukino Baba |
| 2022 | EANA: Reducing Privacy Risk on Large-scale Recommendation Models. | Lin Ning, Steve Chien, Shuang Song, Mei Chen, Yunqi Xue, Devora Berlowitz |
| 2022 | Zillow: Volume Governing for Email and Push Messages. | Eric Paul Nichols, Ruomeng Xu, Balasubramanian Thiagarajan, Shruti Kamath |
| 2022 | Towards Recommender Systems with Community Detection and Quantum Computing. | Riccardo Nembrini, Costantino Carugno, Maurizio Ferrari Dacrema, Paolo Cremonesi |
| 2022 | Workshop on Recommenders in Tourism (RecTour). | Julia Neidhardt, Wolfgang Wrndl, Tsvi Kuflik, Dmitri Goldenberg, Markus Zanker |
| 2022 | Explainable Robo-Advisors: Empirical Investigations to Specify and Evaluate a User-Centric Taxonomy of Explanations in the Financial Domain. | Sidra Naveed, Gunnar Stevens, Dean-Robin Kern |
| 2022 | "My AI must have been broken": How AI Stands to Reshape Human Communication. | Mor Naaman |
| 2022 | Heterogeneous Graph Representation Learning for multi-target Cross-Domain Recommendation. | Tendai Mukande |
| 2022 | Decoy Effect of Recommendation Systems on Real E-commerce Websites. | Fan Mo, Tsuneo Matsumoto, Nao Fukushima, Fuyuko Kido, Hayato Yamana |
| 2022 | RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data. | Lien Michiels, Robin Verachtert, Bart Goethals |
| 2022 | Abstract: Should Algorithm Evaluation Extend to Testing? We Think So. | Lien Michiels, Robin Verachtert, Kim Falk, Bart Goethals |
| 2022 | ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations. | Alessandro B. Melchiorre, Navid Rekabsaz, Christian Ganhr, Markus Schedl |
| 2022 | A Lightweight Transformer for Next-Item Product Recommendation. | M. Jeffrey Mei, Cole Zuber, Yasaman Khazaeni |
| 2022 | Towards the Evaluation of Recommender Systems with Impressions. | Fernando Benjamn Prez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi |
| 2022 | INSPIRED2: An Improved Dataset for Sociable Conversational Recommendation. | Ahtsham Manzoor, Dietmar Jannach |
| 2022 | INFACT: An Online Human Evaluation Framework for Conversational Recommendation. | Ahtsham Manzoor, Dietmar Jannach |
| 2022 | CAEN: A Hierarchically Attentive Evolution Network for Item-Attribute-Change-Aware Recommendation in the Growing E-commerce Environment. | Rui Ma, Ning Liu, Jingsong Yuan, Huafeng Yang, Jiandong Zhang |
| 2022 | Psychological User Characteristics and Meta-Intents in a Conversational Product Advisor. | Yuan Ma, Timm Kleemann, Jrgen Ziegler |
| 2022 | Interaction-Grounded Learning for Recommender Systems. | Jessica Maghakian, Kishan Panaganti, Paul Mineiro, Akanksha Saran, Cheng Tan |
| 2022 | Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity. | Kiwan Maeng, Haiyu Lu, Luca Melis, John Nguyen, Mike Rabbat, Carole-Jean Wu |
| 2022 | Two-Layer Bandit Optimization for Recommendations. | Siyong Ma, Puja Das, Sofia Maria Nikolakaki, Qifeng Chen, Humeyra Topcu Altintas |
| 2022 | Meta-Intents in Conversational Recommender Systems. | Yuan Ma, Tim Donkers, Timm Kleemann, Jrgen Ziegler |
| 2022 | Query Attribute Recommendation at Amazon Search. | Chen Luo, William Headden, Neela Avudaiappan, Haoming Jiang, Tianyu Cao, Qingyu Yin, Yifan Gao, Zheng Li, Rahul Goutam, Haiyang Zhang, Bing Yin |
| 2022 | Abstract: Multi-domain News Recommender Systems at Globo: Challenges, Approaches and Evaluation Metrics. | Joel Pinho Lucas, Leticia Freire de Figueiredo, Felipe Alves Ferreira |
| 2022 | Recommender Systems Alone Are Not Everything: Towards a Broader Perspective in the Evaluation of Recommender Systems. | Benedikt Loepp |