| 2021 | Quality Metrics in Recommender Systems: Do We Calculate Metrics Consistently? | Yan-Martin Tamm, Rinchin Damdinov, Alexey Vasilev |
| 2021 | You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack. | Jacopo Tagliabue |
| 2021 | User Polarization Aware Matrix Factorization for Recommendation Systems. | Wenlong Sun, Olfa Nasraoui |
| 2021 | Negative Interactions for Improved Collaborative Filtering: Don't go Deeper, go Higher. | Harald Steck, Dawen Liang |
| 2021 | The Cholesterol Factor: Balancing Accuracy and Health in Recipe Recommendation Through a Nutrient-Specific Metric. | Alain Starke, Christoph Trattner, Hedda Bakken, Martin Johannessen, Vegard Solberg |
| 2021 | Predicting Feature-based Similarity in the News Domain Using Human Judgments. | Alain D. Starke, Sebastian verhaug, Christoph Trattner |
| 2021 | Voicing Concerns: User-Specific Pitfalls of Favoring Voice over Text in Conversational Recommender Systems (Short paper). | Alain D. Starke, Minha Lee |
| 2021 | "Serving Each User": Supporting Different Eating Goals Through a Multi-List Recommender Interface. | Alain Starke, Edis Asotic, Christoph Trattner |
| 2021 | Baby Shark to Barracuda: Analyzing Children's Music Listening Behavior. | Lawrence Spear, Ashlee Milton, Garrett Allen, Amifa Raj, Michael Green, Michael D. Ekstrand, Maria Soledad Pera |
| 2021 | Case Study on the Development of a Recommender for Apple Disease Diagnosis with a Knowledge-based Bayesian Network (Long paper). | Gabriele Sottocornola, Sanja Baric, Fabio Stella, Markus Zanker |
| 2021 | Next-item Recommendations in Short Sessions. | Wenzhuo Song, Shoujin Wang, Yan Wang, Shengsheng Wang |
| 2021 | A Low-Code Tool Supporting the Development of Recommender Systems. | Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong Thanh Nguyen |
| 2021 | Automatic Collection Creation and Recommendation. | Sanidhya Singal, Piyush Singh, Manjeet Dahiya |
| 2021 | An Empirical Analysis of Collaborative Recommender Systems Robustness to Shilling Attacks. | Anu Shrestha, Francesca Spezzano, Maria Soledad Pera |
| 2021 | Evaluating Music Recommendations with Binary Feedback for Multiple Stakeholders. | Sasha Stoikov, Hongyi Wen |
| 2021 | A Unified Optimization Toolbox for Solving Popularity Bias, Fairness, and Diversity in Recommender Systems. | Sinan Seymen, Himan Abdollahpouri, Edward C. Malthouse |
| 2021 | A Constrained Optimization Approach for Calibrated Recommendations. | Sinan Seymen, Himan Abdollahpouri, Edward C. Malthouse |
| 2021 | Modeling Users and Items for Recommenders: There Is More than Semantics. | Mete Sertkan |
| 2021 | On the Extraction and Use of Arguments in Recommender Systems: A Case Study in the E-participation Domain (Long paper). | Andrs Segura-Tinoco, Ivn Cantador |
| 2021 | Argument-based generation and explanation of recommendations. | Andrs Segura-Tinoco |
| 2021 | Unboxing the Algorithm: Designing an Understandable Algorithmic Experience in Music Recommender Systems. | Anna Marie Schrder, Maliheh Ghajargar |
| 2021 | Time-dependent Evaluation of Recommender Systems. | Teresa Scheidt, Joeran Beel |
| 2021 | Online Evaluation Methods for the Causal Effect of Recommendations. | Masahiro Sato |
| 2021 | ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation. | Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram |
| 2021 | Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders. | Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus, Viet-Anh Tran, Michalis Vazirgiannis |