| 2022 | Bundle Recommender from Recipes to Shopping Carts - Optimizing Ingredients, Kitchen Gadgets and their Quantities. | Chahak Sethi, Melvin Vellera, Diane Myung-kyung Woodbridge, Joey Jonghoon Ahnn |
| 2022 | Diversifying Sentiments in News Recommendation. | Mete Sertkan, Sophia Althammer, Sebastian Hofsttter, Julia Neidhardt |
| 2022 | Dual Attentional Higher Order Factorization Machines. | Arindam Sarkar, Dipankar Das, Vivek Sembium, Prakash Mandayam Comar |
| 2022 | RepSys: Framework for Interactive Evaluation of Recommender Systems. | Jan Safark, Vojtech Vancura, Pavel Kordk |
| 2022 | Democratizing Travel Personalization via Central Recommendation Platform. | Chana Ross, Tomer Ovadia, Jake Mooney, Amit Meitin, Eytan Kabilou, Mush Kabalo, Dmitri Goldenberg |
| 2022 | Countering Popularity Bias by Regularizing Score Differences. | Wondo Rhee, Sung Min Cho, Bongwon Suh |
| 2022 | Revisiting the Performance of iALS on Item Recommendation Benchmarks. | Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren |
| 2022 | Context and Attribute-Aware Sequential Recommendation via Cross-Attention. | Ahmed Rashed, Shereen Elsayed, Lars Schmidt-Thieme |
| 2022 | PM K-LightGCN: Optimizing for Accuracy and Popularity Match in Course Recommendation. | Yiding Ran, Hengchang Hu, Min-Yen Kan |
| 2022 | Fast and Accurate User Cold-Start Learning Using Monte Carlo Tree Search. | Dilina Chandika Rajapakse, Douglas J. Leith |
| 2022 | Fair Ranking Metrics. | Amifa Raj |
| 2022 | Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation. | Hossein A. Rahmani, Mohammadmehdi Naghiaei, Ali Tourani, Yashar Deldjoo |
| 2022 | HELPeR: An Interactive Recommender System for Ovarian Cancer Patients and Caregivers. | Behnam Rahdari, Peter Brusilovsky, Daqing He, Khushboo Maulikmihir Thaker, Zhimeng Luo, Young Ji Lee |
| 2022 | Simulation-Based Evaluation of Interactive Recommender Systems. | Behnam Rahdari, Peter Brusilovsky |
| 2022 | Automate Page Layout Optimization: An Offline Deep Q-Learning Approach. | Zhou Qin, Wenyang Liu |
| 2022 | A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation. | Aleksandr V. Petrov, Craig Macdonald |
| 2022 | Effective and Efficient Training for Sequential Recommendation using Recency Sampling. | Aleksandr V. Petrov, Craig Macdonald |
| 2022 | The Effect of Feedback Granularity on Recommender Systems Performance. | Ladislav Peska, Stepn Balcar |
| 2022 | Don't recommend the obvious: estimate probability ratios. | Roberto Pellegrini, Wenjie Zhao, Iain Murray |
| 2022 | A Systematic Review of the Use of Multiple Criteria Decision Aiding Methods in Recommender Systems: Preliminary Results. | Renata Pelissari, Paulo S. C. Alencar, Sarah Ben Amor, Leonardo Tomazeli Duarte |
| 2022 | Who do you think I am? Interactive User Modelling with Item Metadata. | Joey De Pauw, Koen Ruymbeek, Bart Goethals |
| 2022 | From User Control and Explainability in Recommendation Interfaces to Visual XAI. | Denis Parra |
| 2022 | Exploiting Negative Preference in Content-based Music Recommendation with Contrastive Learning. | Minju Park, Kyogu Lee |
| 2022 | Pursuing Optimal Trade-Off Solutions in Multi-Objective Recommender Systems. | Vincenzo Paparella |
| 2022 | The Tourist Trip Design Problem with POI Categories via an Expectation-Maximization Based Method. | Costas Panagiotakis, Evangelia Daskalaki, Harris Papadakis, Paraskevi Fragopoulou |