| 2023 | Capturing Performance and Privacy by Assembling Avengers of Online Advertising. | Taehee Kim, Seungyun Baek, Taehyeon Jeon, Hojin Jung, Joonhong Kim, Taeho Lee |
| 2023 | The Eleventh International Workshop on News Recommendation and Analytics (INRA'23). | Benjamin Kille, Andreas Lommatzsch, zlem zgbek, Peng Liu, Simen Eide, Lemei Zhang |
| 2023 | An Exploration of Sentence-Pair Classification for Algorithmic Recruiting. | Mesut Kaya, Toine Bogers |
| 2023 | Uncertainty-adjusted Inductive Matrix Completion with Graph Neural Networks. | Petr Kasalick, Antoine Ledent, Rodrigo Alves |
| 2023 | Integrating Explicit and Implicit Feature Interactions for Online Ad Installation Forecasting. | Jiawei Jiang, Bing Wang, Jingyuan Wang |
| 2023 | CONSEQUENCES - The 2nd Workshop on Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. | Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile, Yixin Wang |
| 2023 | A Probabilistic Position Bias Model for Short-Video Recommendation Feeds. | Olivier Jeunen |
| 2023 | Abstract: A Common Misassumption in Online Experiments with Machine Learning Models. | Olivier Jeunen |
| 2023 | A Model-Agnostic Framework for Recommendation via Interest-aware Item Embeddings. | Amit Kumar Jaiswal, Yu Xiong |
| 2023 | Using Learnable Physics for Real-Time Exercise Form Recommendations. | Abhishek Jaiswal, Gautam Chauhan, Nisheeth Srivastava |
| 2023 | Climbing crags repetitive choices and recommendations. | Iustina Ivanova |
| 2023 | Group Fairness for Content Creators: the Role of Human and Algorithmic Biases under Popularity-based Recommendations. | Stefania Ionescu, Aniko Hannak, Nicol Pagan |
| 2023 | QUARE: 2nd Workshop on Measuring the Quality of Explanations in Recommender Systems. | Oana Inel, Nicolas Mattis, Milda Norkute, Alessandro Piscopo, Timothe Schmude, Sanne Vrijenhoek, Krisztian Balog |
| 2023 | Tutorial on Large Language Models for Recommendation. | Wenyue Hua, Lei Li, Shuyuan Xu, Li Chen, Yongfeng Zhang |
| 2023 | Widespread Flaws in Offline Evaluation of Recommender Systems. | Balzs Hidasi, dm Tibor Czapp |
| 2023 | The Effect of Third Party Implementations on Reproducibility. | Balzs Hidasi, dm Tibor Czapp |
| 2023 | Deliberative Diversity for News Recommendations: Operationalization and Experimental User Study. | Lucien Heitz, Juliane A. Lischka, Rana Abdullah, Laura Laugwitz, Hendrik Meyer, Abraham Bernstein |
| 2023 | Topic-Level Bayesian Surprise and Serendipity for Recommender Systems. | Tonmoy Hasan, Razvan C. Bunescu |
| 2023 | Unleash the Power of Context: Enhancing Large-Scale Recommender Systems with Context-Based Prediction Models. | Jan Hartman, Assaf Klein, Davorin Kopic, Natalia Silberstein |
| 2023 | Leveraging Large Language Models for Sequential Recommendation. | Jesse Harte, Wouter Zorgdrager, Panos Louridas, Asterios Katsifodimos, Dietmar Jannach, Marios Fragkoulis |
| 2023 | Extended Conversion: Capturing Successful Interactions in Voice Shopping. | Elad Haramaty, Zohar S. Karnin, Arnon Lazerson, Liane Lewin-Eytan, Yoelle Maarek |
| 2023 | Transparently Serving the Public: Enhancing Public Service Media Values through Exploration. | Andreas Grn, Xenija Neufeld |
| 2023 | Full Index Deep Retrieval: End-to-End User and Item Structures for Cold-start and Long-tail Item Recommendation. | Zhen Gong, Xin Wu, Lei Chen, Zhenzhe Zheng, Shengjie Wang, Anran Xu, Chong Wang, Fan Wu |
| 2023 | Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation. | Ashraf Ghiye, Baptiste Barreau, Laurent Carlier, Michalis Vazirgiannis |
| 2023 | Challenges for Anonymous Session-Based Recommender Systems in Indoor Environments. | Alessio Ferrato |