| 2021 | NU: BRIEF - A Privacy-aware Newsletter Personalization Engine for Publishers. | Ernesto Diaz-Aviles, Claudia Orellana-Rodriguez, Igor Brigadir, Reshma Narayanan Kutty |
| 2021 | GPU Accelerated Boosted Trees and Deep Neural Networks for Better Recommender Systems. | Chris Deotte, Bo Liu, Benedikt Schifferer, Gilberto Titericz |
| 2021 | Synerise at RecSys 2021: Twitter user engagement prediction with a fast neural model. | Michal Daniluk, Jacek Dabrowski, Barbara Rychalska, Konrad Goluchowski |
| 2021 | Debiased Explainable Pairwise Ranking from Implicit Feedback. | Khalil Damak, Sami Khenissi, Olfa Nasraoui |
| 2021 | A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models. | Alexander Dallmann, Daniel Zoller, Andreas Hotho |
| 2021 | An Ontology-based Knowledgebase for User Profile and Garment Features in Apparel Recommender Systems. | Bolanle Olufisayo Dahunsi |
| 2021 | Optimizing the Selection of Recommendation Carousels with Quantum Computing. | Maurizio Ferrari Dacrema, Nicol Felicioni, Paolo Cremonesi |
| 2021 | Juggler: Multi-Stakeholder Ranking with Meta-Learning. | Tiago Cunha, Ioannis Partalas, Phong Nguyen |
| 2021 | A General Model for Fair and Explainable Recommendation in the Loan Domain (Short paper). | Giandomenico Cornacchia, Fedelucio Narducci, Azzurra Ragone |
| 2021 | Values of User Exploration in Recommender Systems. | Minmin Chen, Yuyan Wang, Can Xu, Ya Le, Mohit Sharma, Lee Richardson, Su-Lin Wu, Ed H. Chi |
| 2021 | Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021. | Jiawei Chen, Xiang Wang, Fuli Feng, Xiangnan He |
| 2021 | Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network. | Huiyuan Chen, Yusan Lin, Fei Wang, Hao Yang |
| 2021 | PodRecs 2021: 2nd Workshop on Podcast Recommendations. | Ching-Wei Chen, Rosie Jones, Zahra Nazari, Longqi Yang, Maria Eskevich, Gareth James Francis Jones, Sergio Oramas |
| 2021 | Exploration in Recommender Systems. | Minmin Chen |
| 2021 | Estimating and Penalizing Preference Shift in Recommender Systems. | Micah Carroll, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan |
| 2021 | Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment. | Luca Carminati, Giacomo Lodigiani, Pietro Maldini, Samuele Meta, Stiven Metaj, Arcangelo Pisa, Alessandro Sanvito, Mattia Surricchio, Fernando Benjamn Prez Maurera, Cesare Bernardis, Maurizio Ferrari Dacrema |
| 2021 | Learning Dynamic Insurance Recommendations from Users' Click Sessions. | Simone Borg Bruun |
| 2021 | Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'21). | Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Elisabeth Lex, Pasquale Lops, Giovanni Semeraro, Martijn C. Willemsen |
| 2021 | Building Public Service Recommenders: Logbook of a Journey. | Christina Boididou, Di Sheng, Felix J. Mercer Moss, Alessandro Piscopo |
| 2021 | RecSys in HR: Workshop on Recommender Systems for Human Resources. | Toine Bogers, David Graus, Mesut Kaya, Francisco Gutirrez, Katrien Verbert |
| 2021 | Content-based book recommendations: Personalised and explainable recommendations without the cold-start problem. | Niels Bogaards, Frederique Schut |
| 2021 | Denoising User-aware Memory Network for Recommendation. | Zhi Bian, Shaojun Zhou, Hao Fu, Qihong Yang, Zhenqi Sun, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li |
| 2021 | GUApp: a Knowledge-aware Conversational Agent for Job Recommendation (Short paper). | Giovanni Maria Biancofiore, Tommaso Di Noia, Eugenio Di Sciascio, Fedelucio Narducci, Paolo Pastore |
| 2021 | Biases in Recommendation System. | Saumya Bhadani |
| 2021 | Eigenvalue Perturbation for Item-based Recommender Systems. | Cesare Bernardis, Paolo Cremonesi |