| 2021 | "Serving Each User": Supporting Different Eating Goals Through a Multi-List Recommender Interface. Alain Starke, Edis Asotic, Christoph Trattner |
| 2021 | 9th International Workshop on News Recommendation and Analytics. Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Zhixin Pu, Jon Atle Gulla |
| 2021 | A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models. Alexander Dallmann, Daniel Zoller, Andreas Hotho |
| 2021 | A Constrained Optimization Approach for Calibrated Recommendations. Sinan Seymen, Himan Abdollahpouri, Edward C. Malthouse |
| 2021 | A Low-Code Tool Supporting the Development of Recommender Systems. Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong Thanh Nguyen |
| 2021 | A Payload Optimization Method for Federated Recommender Systems. Farwa K. Khan, Adrian Flanagan, Kuan Eeik Tan, Zareen Alamgir, Muhammad Ammad-ud-din |
| 2021 | AIR: Personalized Product Recommender System for Nike's Digital Transformation. Steven Essinger, Dave Huber, Daniel Tang |
| 2021 | Accordion: A Trainable Simulator forLong-Term Interactive Systems. James McInerney, Ehtsham Elahi, Justin Basilico, Yves Raimond, Tony Jebara |
| 2021 | An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction. Conor O'Brien, Kin Sum Liu, James Neufeld, Rafael Barreto, Jonathan J. Hunt |
| 2021 | An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes. Matús Tomlein, Branislav Pecher, Jakub Simko, Ivan Srba, Róbert Móro, Elena Stefancova, Michal Kompan, Andrea Hrckova, Juraj Podrouzek, Mária Bieliková |
| 2021 | An Interpretable Recommendation Model for Gerontological Care. André Paulino de Lima, Laurentino Augusto Dantas, Marcelo Garcia Manzato, Maria da Graça Campos Pimentel, Brunela Della Maggiori Orlandi, Paula Castro |
| 2021 | An Ontology-based Knowledgebase for User Profile and Garment Features in Apparel Recommender Systems. Bolanle Olufisayo Dahunsi |
| 2021 | Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected? Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz, Stefan Brandl, Dominik Kowald, Elisabeth Lex, Markus Schedl |
| 2021 | Argument-based generation and explanation of recommendations. Andrés Segura-Tinoco |
| 2021 | Auditing the Effect of Social Network Recommendations on Polarization in Geometrical Ideological Spaces. Pedro Ramaciotti Morales, Jean-Philippe Cointet |
| 2021 | Automatic Collection Creation and Recommendation. Sanidhya Singal, Piyush Singh, Manjeet Dahiya |
| 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 | Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021. Jiawei Chen, Xiang Wang, Fuli Feng, Xiangnan He |
| 2021 | Biases in Recommendation System. Saumya Bhadani |
| 2021 | Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction. Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley |
| 2021 | Boosting Local Recommendations With Partially Trained Global Model. Yuxi Zhang, Kexin Xie |
| 2021 | Building Public Service Recommenders: Logbook of a Journey. Christina Boididou, Di Sheng, Felix J. Mercer Moss, Alessandro Piscopo |
| 2021 | Building a Platform for Ensemble-based Personalized Research Literature Recommendations for AI and Data Science at Zeta Alpha. Jakub Zavrel, Artem Grotov, Jonathan Mitnik |
| 2021 | Burst-induced Multi-Armed Bandit for Learning Recommendation. Rodrigo Alves, Antoine Ledent, Marius Kloft |
| 2021 | Challenges Experienced in Public Service Media Recommendation Systems. Andreas Grün, Xenija Neufeld |
| 2021 | Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders. Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus, Viet-Anh Tran, Michalis Vazirgiannis |
| 2021 | ComplexRec 2021: Fifth Workshop on Recommendation in Complex Environments. Himan Abdollahpouri, Toine Bogers, Bamshad Mobasher, Casper Petersen, Maria Soledad Pera |
| 2021 | Connecting Students with Research Advisors Through User-Controlled Recommendation. Behnam Rahdari, Peter Brusilovsky, Alireza Javadian Sabet |
| 2021 | Content-based book recommendations: Personalised and explainable recommendations without the cold-start problem. Niels Bogaards, Frederique Schut |
| 2021 | Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances. Yuta Saito, Thorsten Joachims |
| 2021 | DataHunter: A System for Finding Datasets Based on Scientific Problem Descriptions. Michael Färber, Ann-Kathrin Leisinger |
| 2021 | Debiased Explainable Pairwise Ranking from Implicit Feedback. Khalil Damak, Sami Khenissi, Olfa Nasraoui |
| 2021 | Debiased Off-Policy Evaluation for Recommendation Systems. Yusuke Narita, Shota Yasui, Kohei Yata |
| 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 | Do Users Appreciate Explanations of Recommendations? An Analysis in the Movie Domain. Thi Ngoc Trang Tran, Viet Man Le, Muesluem Atas, Alexander Felfernig, Martin Stettinger, Andrei Popescu |
| 2021 | Drug Discovery as a Recommendation Problem: Challenges and Complexities in Biological Decisions. Anna Gogleva, Eliseo Papa, Erik Jansson, Greet De Baets |
| 2021 | Dynamic Graph Construction for Improving Diversity of Recommendation. Rui Ye, Yuqing Hou, Te Lei, Yunxing Zhang, Qing Zhang, Jiale Guo, Huaiwen Wu, Hengliang Luo |
| 2021 | EX3: Explainable Attribute-aware Item-set Recommendations. Yikun Xian, Tong Zhao, Jin Li, Jim Chan, Andrey Kan, Jun Ma, Xin Luna Dong, Christos Faloutsos, George Karypis, S. Muthukrishnan, Yongfeng Zhang |
| 2021 | Eigenvalue Perturbation for Item-based Recommender Systems. Cesare Bernardis, Paolo Cremonesi |
| 2021 | End-to-End Session-Based Recommendation on GPU. Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Benedikt Schifferer |
| 2021 | EntityBot: Supporting Everyday Digital Tasks with Entity Recommendations. Vuong Thanh Tung, Salvatore Andolina, Giulio Jacucci, Pedram Daee, Khalil Klouche, Mats Sjöberg, Tuukka Ruotsalo, Samuel Kaski |
| 2021 | Estimating and Penalizing Preference Shift in Recommender Systems. Micah Carroll, Dylan Hadfield-Menell, Stuart Russell, Anca D. Dragan |
| 2021 | Evaluating the Robustness of Off-Policy Evaluation. Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno |
| 2021 | Exploration in Recommender Systems. Minmin Chen |
| 2021 | FAccTRec 2021: The 4th Workshop on Responsible Recommendation. Michael D. Ekstrand, Pierre-Nicolas Schwab, Toshihiro Kamishima, Nasim Sonboli |
| 2021 | FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, all Viewed Items and Click Responses/No-Click for Recommender Systems Research. Simen Eide, David S. Leslie, Arnoldo Frigessi, Joakim Rishaug, Helge Jenssen, Sofie Verrewaere |
| 2021 | FR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing. Zhaohao Lin, Weike Pan, Zhong Ming |
| 2021 | Fairness in Reviewer Recommendations at Elsevier. Daniel James Kershaw, Rob Koeling, Stephan Bourgeois, Antonio Trenta, Harriet J. Muncey |
| 2021 | Fast Multi-Step Critiquing for VAE-based Recommender Systems. Diego Antognini, Boi Faltings |
| 2021 | Follow the guides: disentangling human and algorithmic curation in online music consumption. Quentin Villermet, Jérémie Poiroux, Manuel Moussallam, Thomas Louail, Camille Roth |
| 2021 | GReS: Workshop on Graph Neural Networks for Recommendation and Search. Thibaut Thonet, Stéphane Clinchant, Carlos Lassance, Elvin Isufi, Jiaqi Ma, Yutong Xie, Jean-Michel Renders, Michael M. Bronstein |
| 2021 | Generation-based vs. Retrieval-based Conversational Recommendation: A User-Centric Comparison. Ahtsham Manzoor, Dietmar Jannach |
| 2021 | Generic Automated Lead Ranking in Dynamics CRM. Royi Ronen, Hilik Berezin, Rotem Preizler, Gopal Kasturi, A. J. Ezzour, Sayalee Bhanavase, Edan Hauon, Oron Nir |
| 2021 | Global-Local Item Embedding for Temporal Set Prediction. Seungjae Jung, Young-Jin Park, Jisu Jeong, Kyung-Min Kim, Hiun Kim, Minkyu Kim, Hanock Kwak |
| 2021 | Hierarchical Latent Relation Modeling for Collaborative Metric Learning. Viet-Anh Tran, Guillaume Salha-Galvan, Romain Hennequin, Manuel Moussallam |
| 2021 | Horizontal Cross-Silo Federated Recommender Systems. Saikishore Kalloori, Severin Klingler |
| 2021 | I Want to Break Free! Recommending Friends from Outside the Echo Chamber. Antonela Tommasel, Juan Manuel Rodriguez, Daniela Godoy |
| 2021 | Information Interactions in Outcome Prediction: Quantification and Interpretation using Stochastic Block Models. Gaël Poux-Médard, Julien Velcin, Sabine Loudcher |
| 2021 | Investigating Overparameterization for Non-Negative Matrix Factorization in Collaborative Filtering. Yuhi Kawakami, Mahito Sugiyama |
| 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 | Jointly Optimize Capacity, Latency and Engagement in Large-scale Recommendation Systems. Hitesh Khandelwal, Viet Ha-Thuc, Avishek Dutta, Yining Lu, Nan Du, Zhihao Li, Qi Hu |
| 2021 | Large-Scale Modeling of Mobile User Click Behaviors Using Deep Learning. Xin Zhou, Yang Li |
| 2021 | Large-scale Interactive Conversational Recommendation System using Actor-Critic Framework. Ali Montazeralghaem, James Allan, Philip S. Thomas |
| 2021 | Learning Dynamic Insurance Recommendations from Users' Click Sessions. Simone Borg Bruun |
| 2021 | Learning a Voice-based Conversational Recommender using Offline Policy Optimization. François Mairesse, Zhonghao Luo, Tao Ye |
| 2021 | Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems. Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng |
| 2021 | Learning to Match Job Candidates Using Multilingual Bi-Encoder BERT. Dor Lavi |
| 2021 | Learning to Represent Human Motives for Goal-directed Web Browsing. Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahareh Sarrafzadeh, Brent J. Hecht, Jaime Teevan |
| 2021 | Leveraging Multi-Faceted User Preferences for Improving Click-Through Rate Predictions. Pan Li |
| 2021 | Local Factor Models for Large-Scale Inductive Recommendation. Longqi Yang, Tobias Schnabel, Paul N. Bennett, Susan T. Dumais |
| 2021 | MORS 2021: 1st Workshop on Multi-Objective Recommender Systems. Himan Abdollahpouri, Mehdi Elahi, Masoud Mansoury, Shaghayegh Sahebi, Zahra Nazari, Allison Chaney, Babak Loni |
| 2021 | Matrix Factorization for Collaborative Filtering Is Just Solving an Adjoint Latent Dirichlet Allocation Model After All. Florian Wilhelm |
| 2021 | Measuring and Mitigating Bias and Harm in Personalized Advertising. Muhammad Ali |
| 2021 | Mitigating Confounding Bias in Recommendation via Information Bottleneck. Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming |
| 2021 | Modeling Users and Items for Recommenders: There Is More than Semantics. Mete Sertkan |
| 2021 | Multi-Modal Recommender Systems: Hands-On Exploration. Quoc-Tuan Truong, Aghiles Salah, Hady W. Lauw |
| 2021 | Multi-Step Critiquing User Interface for Recommender Systems. Diana Andreea Petrescu, Diego Antognini, Boi Faltings |
| 2021 | NU: BRIEF - A Privacy-aware Newsletter Personalization Engine for Publishers. Ernesto Diaz-Aviles, Claudia Orellana-Rodriguez, Igor Brigadir, Reshma Narayanan Kutty |
| 2021 | Negative Interactions for Improved Collaborative Filtering: Don't go Deeper, go Higher. Harald Steck, Dawen Liang |
| 2021 | Neural Basket Embedding for Sequential Recommendation. Vojtech Vancura |
| 2021 | Next-item Recommendations in Short Sessions. Wenzhuo Song, Shoujin Wang, Yan Wang, Shengsheng Wang |
| 2021 | OHARS: Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems. Antonela Tommasel, Daniela Godoy, Arkaitz Zubiaga |
| 2021 | ORSUM 2021 - 4th Workshop on Online Recommender Systems and User Modeling. João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein, Albert Bifet |
| 2021 | Offline Evaluation Standards for Recommender Systems. Chin Lin Wong, Diego Marinho de Oliveira, Farhad Zafari, Fernando Mourão, Rafael Colares, Sabir Ribas |
| 2021 | Online Evaluation Methods for the Causal Effect of Recommendations. Masahiro Sato |
| 2021 | Online Learning for Recommendations at Grubhub. Alex Egg |
| 2021 | Optimizing the Selection of Recommendation Carousels with Quantum Computing. Maurizio Ferrari Dacrema, Nicolò Felicioni, Paolo Cremonesi |
| 2021 | Page-level Optimization of e-Commerce Item Recommendations. Chieh Lo, Hongliang Yu, Xin Yin, Krutika Shetty, Changchen He, Kathy Hu, Justin M. Platz, Adam Ilardi, Sriganesh Madhvanath |
| 2021 | Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation. Yaxiong Wu, Craig Macdonald, Iadh Ounis |
| 2021 | Personalised Outfit Recommendations: Use Cases, Challenges and Opportunities. Nick Landia |
| 2021 | Personalizing Peloton: Combining Rankers and Filters To Balance Engagement and Business Goals. Shayak Banerjee, Arnab Bhadury, Nilothpal Talukder, Santosh Thammana |
| 2021 | Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES). Eva Zangerle, Christine Bauer, Alan Said |
| 2021 | Pessimistic Reward Models for Off-Policy Learning in Recommendation. Olivier Jeunen, Bart Goethals |
| 2021 | Play It Again, Sam! Recommending Familiar Music in Fresh Ways. Giovanni Gabbolini, Derek Bridge |
| 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 | Predicting Music Relistening Behavior Using the ACT-R Framework. Markus Reiter-Haas, Emilia Parada-Cabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex |
| 2021 | Privacy Preserving Collaborative Filtering by Distributed Mediation. Alon Ben Horin, Tamir Tassa |
| 2021 | ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation. Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram |
| 2021 | Pursuing Privacy in Recommender Systems: the View of Users and Researchers from Regulations to Applications. Vito Walter Anelli, Luca Belli, Yashar Deldjoo, Tommaso Di Noia, Antonio Ferrara, Fedelucio Narducci, Claudio Pomo |
| 2021 | Quality Metrics in Recommender Systems: Do We Calculate Metrics Consistently? Yan-Martin Tamm, Rinchin Damdinov, Alexey Vasilev |
| 2021 | RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021 - 1 October 2021 Humberto Jesús Corona Pampín, Martha A. Larson, Martijn C. Willemsen, Joseph A. Konstan, Julian J. McAuley, Jean Garcia-Gathright, Bouke Huurnink, Even Oldridge |
| 2021 | RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline. Vito Walter Anelli, Saikishore Kalloori, Bruce Ferwerda, Luca Belli, Alykhan Tejani, Frank Portman, Alexandre Lung-Yut-Fong, Ben Chamberlain, Yuanpu Xie, Jonathan Hunt, Michael M. Bronstein, Wenzhe Shi |
| 2021 | RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation. Wenqiang Lei, Chongming Gao, Maarten de Rijke |
| 2021 | RecSys in HR: Workshop on Recommender Systems for Human Resources. Toine Bogers, David Graus, Mesut Kaya, Francisco Gutiérrez, Katrien Verbert |
| 2021 | RecSysOps: Best Practices for Operating a Large-Scale Recommender System. Mohammad Saberian, Justin Basilico |
| 2021 | Recommendation on Live-Streaming Platforms: Dynamic Availability and Repeat Consumption. Jérémie Rappaz, Julian J. McAuley, Karl Aberer |
| 2021 | Recommendations and Results Organization in Netflix Search. Sudarshan Dnyaneshwar Lamkhede, Christoph Kofler |
| 2021 | Recommendations at Videoland. Mateo Gutierrez Granada, Daan Odijk |
| 2021 | Recommender Systems for Personalized User Experience: Lessons learned at Booking.com. Ioannis Kangas, Maud Schwoerer, Lucas J. Bernardi |
| 2021 | Recommenders in Banking: An End-to-end Personalization Pipeline within ING. Carlos Vaquero-Patricio, Nikki Van Ommeren, Santiago Gil-Begue |
| 2021 | Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization. Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Claudio Pomo |
| 2021 | Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item? Daichi Amagata, Takahiro Hara |
| 2021 | Scaling Enterprise Recommender Systems for Decentralization. Maurits van der Goes |
| 2021 | Scaling TensorFlow to 300 million predictions per second. Jan Hartman, Davorin Kopic |
| 2021 | Semi-Supervised Visual Representation Learning for Fashion Compatibility. Ambareesh Revanur, Vijay Kumar, Deepthi Sharma |
| 2021 | Sequence Adaptation via Reinforcement Learning in Recommender Systems. Stefanos Antaris, Dimitrios Rafailidis |
| 2021 | Shared Neural Item Representations for Completely Cold Start Problem. Ramin Raziperchikolaei, Guannan Liang, Young-joo Chung |
| 2021 | Siamese Neural Networks for Content-based Cold-Start Music Recommendation. Michael Pulis, Josef Bajada |
| 2021 | SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research. Michael D. Ekstrand, Allison Chaney, Pablo Castells, Robin Burke, David Rohde, Manel Slokom |
| 2021 | Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions. Ivica Kostric, Krisztian Balog, Filip Radlinski |
| 2021 | Sparse Feature Factorization for Recommender Systems with Knowledge Graphs. Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino |
| 2021 | Stronger Privacy for Federated Collaborative Filtering With Implicit Feedback. Lorenzo Minto, Moritz Haller, Benjamin Livshits, Hamed Haddadi |
| 2021 | The Dual Echo Chamber: Modeling Social Media Polarization for Interventional Recommending. Tim Donkers, Jürgen Ziegler |
| 2021 | The Idiosyncratic Effects of Adversarial Training on Bias in Personalized Recommendation Learning. Vito Walter Anelli, Tommaso Di Noia, Felice Antonio Merra |
| 2021 | The role of preference consistency, defaults and musical expertise in users' exploration behavior in a genre exploration recommender. Yu Liang, Martijn C. Willemsen |
| 2021 | Third Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). Vito Walter Anelli, Pierpaolo Basile, Tommaso Di Noia, Francesco M. Donini, Cataldo Musto, Fedelucio Narducci, Markus Zanker |
| 2021 | Together is Better: Hybrid Recommendations Combining Graph Embeddings and Contextualized Word Representations. Marco Polignano, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro |
| 2021 | Top-K Contextual Bandits with Equity of Exposure. Olivier Jeunen, Bart Goethals |
| 2021 | Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network. Huiyuan Chen, Yusan Lin, Fei Wang, Hao Yang |
| 2021 | Towards Source-Aligned Variational Models for Cross-Domain Recommendation. Aghiles Salah, Thanh-Binh Tran, Hady W. Lauw |
| 2021 | Towards Unified Metrics for Accuracy and Diversity for Recommender Systems. Javier Parapar, Filip Radlinski |
| 2021 | Transfer Learning in Collaborative Recommendation for Bias Reduction. Zinan Lin, Dugang Liu, Weike Pan, Zhong Ming |
| 2021 | Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. Gabriel de Souza Pereira Moreira, Sara Rabhi, Jeongmin Lee, Ronay Ak, Even Oldridge |
| 2021 | User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms. Ningxia Wang, Li Chen |
| 2021 | V-Elliot: Design, Evaluate and Tune Visual Recommender Systems. Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, Tommaso Di Noia |
| 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 | Workshop on Context-Aware Recommender Systems (CARS) 2021. Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger |
| 2021 | Workshop on Recommender Systems in Fashion and Retail. Shatha Jaradat, Nima Dokoohaki, Humberto Jesús Corona Pampín, Reza Shirvany |
| 2021 | Workshop on Recommenders in Tourism (RecTour). Julia Neidhardt, Wolfgang Wörndl, Tsvi Kuflik, Markus Zanker |
| 2021 | XMRec: Workshop on Cross-Market Recommendation. Mohammad Aliannejadi, Hamed R. Bonab, Ali Vardasbi, Evangelos Kanoulas, James Allan, Vanessa Murdock |
| 2021 | You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack. Jacopo Tagliabue |
| 2021 | cDLRM: Look Ahead Caching for Scalable Training of Recommendation Models. Keshav Balasubramanian, Abdulla Alshabanah, Joshua D. Choe, Murali Annavaram |