| 2022 | "My AI must have been broken": How AI Stands to Reshape Human Communication. Mor Naaman |
| 2022 | A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models. Yingcan Wei, Matthias Langer, Fan Yu, Minseok Lee, Jie Liu, Ji Shi, Zehuan Wang |
| 2022 | A Lightweight Transformer for Next-Item Product Recommendation. M. Jeffrey Mei, Cole Zuber, Yasaman Khazaeni |
| 2022 | A Multi-Stakeholder Recommender System for Rewards Recommendations. Naime Ranjbar Kermany, Luiz Pizzato, Thireindar Min, Callum Scott, Anna Leontjeva |
| 2022 | A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation. Aleksandr V. Petrov, Craig Macdonald |
| 2022 | A User-Centered Investigation of Personal Music Tours. Giovanni Gabbolini, Derek G. Bridge |
| 2022 | Adversary or Friend? An adversarial Approach to Improving Recommender Systems. Pannaga Shivaswamy, Dario García-García |
| 2022 | An Incremental Learning framework for Large-scale CTR Prediction. Petros Katsileros, Nikiforos Mandilaras, Dimitrios Mallis, Vassilis Pitsikalis, Stavros Theodorakis, Gil Chamiel |
| 2022 | An Interpretable Neural Network Model for Bundle Recommendations: Doctoral Symposium, Extended Abstract. Xinyi Li, Edward C. Malthouse |
| 2022 | Aspect Re-distribution for Learning Better Item Embeddings in Sequential Recommendation. Wei Cai, Weike Pan, Jingwen Mao, Zhechao Yu, Congfu Xu |
| 2022 | Augmenting Netflix Search with In-Session Adapted Recommendations. Moumita Bhattacharya, Sudarshan Lamkhede |
| 2022 | Automate Page Layout Optimization: An Offline Deep Q-Learning Approach. Zhou Qin, Wenyang Liu |
| 2022 | BRUCE: Bundle Recommendation Using Contextualized item Embeddings. Tzoof Avny Brosh, Amit Livne, Oren Sar Shalom, Bracha Shapira, Mark Last |
| 2022 | Building and Deploying a Multi-Stage Recommender System with Merlin. Karl Higley, Even Oldridge, Ronay Ak, Sara Rabhi, Gabriel de Souza Pereira Moreira |
| 2022 | Bundle MCR: Towards Conversational Bundle Recommendation. Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley |
| 2022 | CAEN: A Hierarchically Attentive Evolution Network for Item-Attribute-Change-Aware Recommendation in the Growing E-commerce Environment. Rui Ma, Ning Liu, Jingsong Yuan, Huafeng Yang, Jiandong Zhang |
| 2022 | CARS: Workshop on Context-Aware Recommender Systems 2022. Gediminas Adomavicius, Konstantin Bauman, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Moshe Unger |
| 2022 | CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems. Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile |
| 2022 | Challenges in Translating Research to Practice for Evaluating Fairness and Bias in Recommendation Systems. Lex Beattie, Dan Taber, Henriette Cramer |
| 2022 | Client Time Series Model: a Multi-Target Recommender System based on Temporally-Masked Encoders. Dirk Sierag, Kevin Zielnicki |
| 2022 | Co-designing ML Models with Data Activists. Catherine D'Ignazio |
| 2022 | Context and Attribute-Aware Sequential Recommendation via Cross-Attention. Ahmed Rashed, Shereen Elsayed, Lars Schmidt-Thieme |
| 2022 | Conversational Recommender System Using Deep Reinforcement Learning. Omprakash Sonie |
| 2022 | Countering Popularity Bias by Regularizing Score Differences. Wondo Rhee, Sung Min Cho, Bongwon Suh |
| 2022 | DAGFiNN: A Conversational Conference Assistant. Ivica Kostric, Krisztian Balog, Tølløv Alexander Aresvik, Nolwenn Bernard, Eyvinn Thu Dørheim, Pholit Hantula, Sander Havn-Sørensen, Rune Henriksen, Hengameh Hosseini, Ekaterina Khlybova, Weronika Lajewska, Sindre Ekrheim Mosand, Narmin Orujova |
| 2022 | Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders. Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang |
| 2022 | Denoising Self-Attentive Sequential Recommendation. Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang |
| 2022 | Designing and evaluating explainable AI for non-AI experts: challenges and opportunities. Maxwell Szymanski, Katrien Verbert, Vero Vanden Abeele |
| 2022 | Developing a Human-Centered Framework for Transparency in Fairness-Aware Recommender Systems. Jessie J. Smith |
| 2022 | Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization. Bruno Sguerra, Viet-Anh Tran, Romain Hennequin |
| 2022 | Do Recommender Systems Make Social Media More Susceptible to Misinformation Spreaders? Antonela Tommasel, Filippo Menczer |
| 2022 | Don't recommend the obvious: estimate probability ratios. Roberto Pellegrini, Wenjie Zhao, Iain Murray |
| 2022 | Dual Attentional Higher Order Factorization Machines. Arindam Sarkar, Dipankar Das, Vivek Sembium, Prakash Mandayam Comar |
| 2022 | Dynamic Global Sensitivity for Differentially Private Contextual Bandits. Huazheng Wang, David Zhao, Hongning Wang |
| 2022 | Dynamic Surrogate Switching: Sample-Efficient Search for Factorization Machine Configurations in Online Recommendations. Blaz Skrlj, Adi Schwartz, Jure Ferlez, Davorin Kopic, Naama Ziporin |
| 2022 | EANA: Reducing Privacy Risk on Large-scale Recommendation Models. Lin Ning, Steve Chien, Shuang Song, Mei Chen, Yunqi Xue, Devora Berlowitz |
| 2022 | Effective and Efficient Training for Sequential Recommendation using Recency Sampling. Aleksandr V. Petrov, Craig Macdonald |
| 2022 | Enhancing Counterfactual Evaluation and Learning for Recommendation Systems. Nicolò Felicioni |
| 2022 | Estimating Long-term Effects from Experimental Data. Ziyang Tang, Yiheng Duan, Steven Zhu, Stephanie Zhang, Lihong Li |
| 2022 | Evaluation Framework for Cold-Start Techniques in Large-Scale Production Settings. Moran Haham |
| 2022 | Exploiting Negative Preference in Content-based Music Recommendation with Contrastive Learning. Minju Park, Kyogu Lee |
| 2022 | Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding. Jan Hartman, Davorin Kopic |
| 2022 | Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation. Hossein A. Rahmani, Mohammadmehdi Naghiaei, Ali Tourani, Yashar Deldjoo |
| 2022 | Exploring the longitudinal effects of nudging on users' music genre exploration behavior and listening preferences. Yu Liang, Martijn C. Willemsen |
| 2022 | FAccTRec 2022: The 5th Workshop on Responsible Recommendation. Nasim Sonboli, Toshihiro Kamishima, Amifa Raj, Luca Belli, Robin Burke |
| 2022 | Fair Ranking Metrics. Amifa Raj |
| 2022 | Fairness-aware Federated Matrix Factorization. Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amélie Marian |
| 2022 | Fast and Accurate User Cold-Start Learning Using Monte Carlo Tree Search. Dilina Chandika Rajapakse, Douglas J. Leith |
| 2022 | FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services. Toine Bogers, Cataldo Musto, David (Xuejun) Wang, Alexander Felfernig, Simone Borg Bruun, Giovanni Semeraro, Yong Zheng |
| 2022 | Flow Moods: Recommending Music by Moods on Deezer. Théo Bontempelli, Benjamin Chapus, François Rigaud, Mathieu Morlon, Marin Lorant, Guillaume Salha-Galvan |
| 2022 | Fourth Knowledge-aware and Conversational Recommender Systems Workshop (KaRS). Vito Walter Anelli, Pierpaolo Basile, Gerard de Melo, Francesco Maria Donini, Antonio Ferrara, Cataldo Musto, Fedelucio Narducci, Azzurra Ragone, Markus Zanker |
| 2022 | Fourth Workshop on Recommender Systems in Fashion and Retail - fashionXrecsys2022. Reza Shirvany, Humberto Jesús Corona Pampín |
| 2022 | Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions. Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Li Chen, Zhong Ming |
| 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 | Hands on Explainable Recommender Systems with Knowledge Graphs. Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras |
| 2022 | Hands-on Reinforcement Learning for Recommender Systems - From Bandits to SlateQ to Offline RL with Ray RLlib. Christy D. Bergman, Kourosh Hakhamaneshi |
| 2022 | Heterogeneous Graph Representation Learning for multi-target Cross-Domain Recommendation. Tendai Mukande |
| 2022 | Identifying New Podcasts with High General Appeal Using a Pure Exploration Infinitely-Armed Bandit Strategy. Maryam Aziz, Jesse Anderton, Kevin Jamieson, Alice Wang, Hugues Bouchard, Javed A. Aslam |
| 2022 | Imbalanced Data Sparsity as a Source of Unfair Bias in Collaborative Filtering. Aditya Joshi, Chin Lin Wong, Diego Marinho de Oliveira, Farhad Zafari, Fernando Mourão, Sabir Ribas, Saumya Pandey |
| 2022 | Improving Recommender Systems with Human-in-the-Loop. Dmitry Ustalov, Natalia Fedorova, Nikita Pavlichenko |
| 2022 | Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS'22). Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Marco Polignano, Giovanni Semeraro, Martijn C. Willemsen |
| 2022 | KA-Recsys: Knowledge Appropriate Patient Focused Recommendation Technologies. Khushboo Thaker |
| 2022 | Knowledge-aware Recommendations Based on Neuro-Symbolic Graph Embeddings and First-Order Logical Rules. Giuseppe Spillo, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro |
| 2022 | Learning Recommendations from User Actions in the Item-poor Insurance Domain. Simone Borg Bruun, Maria Maistro, Christina Lioma |
| 2022 | Learning Users' Preferred Visual Styles in an Image Marketplace. Raul Gomez Bruballa, Lauren Burnham-King, Alessandra Sala |
| 2022 | Learning to Ride a Buy-Cycle: A Hyper-Convolutional Model for Next Basket Repurchase Recommendation. Ori Katz, Oren Barkan, Noam Koenigstein, Nir Zabari |
| 2022 | Long-term fairness for Group Recommender Systems with Large Groups. Patrik Dokoupil |
| 2022 | M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations. Walid Shalaby, Sejoon Oh, Amir Afsharinejad, Srijan Kumar, Xiquan Cui |
| 2022 | MARRS: A Framework for multi-objective risk-aware route recommendation using Multitask-Transformer. Bhumika, Debasis Das |
| 2022 | MORS 2022: The Second Workshop on Multi-Objective Recommender Systems. Himan Abdollahpouri, Shaghayegh Sahebi, Mehdi Elahi, Masoud Mansoury, Babak Loni, Zahra Nazari, Maria Dimakopoulou |
| 2022 | Matching Theory-based Recommender Systems in Online Dating. Yoji Tomita, Riku Togashi, Daisuke Moriwaki |
| 2022 | Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship. Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born |
| 2022 | Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference. Zehuan Wang, Yingcan Wei, Minseok Lee, Matthias Langer, Fan Yu, Jie Liu, Shijie Liu, Daniel G. Abel, Xu Guo, Jianbing Dong, Ji Shi, Kunlun Li |
| 2022 | Modeling Two-Way Selection Preference for Person-Job Fit. Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao |
| 2022 | Modeling User Repeat Consumption Behavior for Online Novel Recommendation. Yuncong Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Jing Cai, Leeven Luo, Sheng-hua Zhong |
| 2022 | Multi-Modal Dialog State Tracking for Interactive Fashion Recommendation. Yaxiong Wu, Craig Macdonald, Iadh Ounis |
| 2022 | Multiobjective Evaluation of Reinforcement Learning Based Recommender Systems. Alexey Grishanov, Anastasia Ianina, Konstantin V. Vorontsov |
| 2022 | Neural Re-ranking for Multi-stage Recommender Systems. Weiwen Liu, Jiarui Qin, Ruiming Tang, Bo Chen |
| 2022 | ORSUM 2022 - 5th Workshop on Online Recommender Systems and User Modeling. João Vinagre, Marie Al-Ghossein, Alípio Mário Jorge, Albert Bifet, Ladislav Peska |
| 2022 | Off-Policy Actor-critic for Recommender Systems. Minmin Chen, Can Xu, Vince Gatto, Devanshu Jain, Aviral Kumar, Ed H. Chi |
| 2022 | Optimizing product recommendations for millions of merchants. Kim Falk, Chen Karako |
| 2022 | Personalizing Benefits Allocation Without Spending Money: Utilizing Uplift Modeling in a Budget Constrained Setup. Dmitri Goldenberg, Javier Albert |
| 2022 | Position Awareness Modeling with Knowledge Distillation for CTR Prediction. Congcong Liu, Yuejiang Li, Jian Zhu, Fei Teng, Xiwei Zhao, Changping Peng, Zhangang Lin, Jingping Shao |
| 2022 | ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations. Alessandro B. Melchiorre, Navid Rekabsaz, Christian Ganhör, Markus Schedl |
| 2022 | Psychology-informed Recommender Systems Tutorial. Elisabeth Lex, Markus Schedl |
| 2022 | Pursuing Optimal Trade-Off Solutions in Multi-Objective Recommender Systems. Vincenzo Paparella |
| 2022 | Query Attribute Recommendation at Amazon Search. Chen Luo, William Headden, Neela Avudaiappan, Haoming Jiang, Tianyu Cao, Qingyu Yin, Yifan Gao, Zheng Li, Rahul Goutam, Haiyang Zhang, Bing Yin |
| 2022 | RADio - Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations. Sanne Vrijenhoek, Gabriel Bénédict, Mateo Gutierrez Granada, Daan Odijk, Maarten de Rijke |
| 2022 | REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale. Richard Liaw, Paige Bailey, Ying Li, Maria Dimakopoulou, Yves Raimond |
| 2022 | RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data. Lien Michiels, Robin Verachtert, Bart Goethals |
| 2022 | RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18 - 23, 2022 Jennifer Golbeck, F. Maxwell Harper, Vanessa Murdock, Michael D. Ekstrand, Bracha Shapira, Justin Basilico, Keld T. Lundgaard, Even Oldridge |
| 2022 | RecSys Challenge 2022: Fashion Purchase Prediction. Nick Landia, Frederick Cheung, Donna North, Saikishore Kalloori, Abhishek Srivastava, Bruce Ferwerda |
| 2022 | RecWork: Workshop on Recommender Systems for the Future of Work. Joseph A. Konstan, Ajith Muralidharan, Ankan Saha, Shilad Sen, Mengting Wan, Longqi Yang |
| 2022 | Recommendation Systems for Ad Creation: A View from the Trenches. Manisha Verma, Shaunak Mishra |
| 2022 | Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang |
| 2022 | Recommendations: They're in fashion. Carlos Carvalheira, Tiago Lacerda, Diogo Gonçalves |
| 2022 | Recommender Systems and Algorithmic Hate. Jessie J. Smith, Lucia Jayne, Robin Burke |
| 2022 | Recommending for a multi-sided marketplace with heterogeneous contents. Yuyan Wang, Long Tao, Xian-Xing Zhang |
| 2022 | Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation. Karthik Shivaram, Ping Liu, Matthew A. Shapiro, Mustafa Bilgic, Aron Culotta |
| 2022 | RepSys: Framework for Interactive Evaluation of Recommender Systems. Jan Safarík, Vojtech Vancura, Pavel Kordík |
| 2022 | Rethinking Personalized Ranking at Pinterest: An End-to-End Approach. Jiajing Xu, Andrew Zhai, Charles Rosenberg |
| 2022 | Reusable Self-Attention Recommender Systems in Fashion Industry Applications. Marjan Celikik, Ana Peleteiro-Ramallo, Jacek Wasilewski |
| 2022 | Revisiting the Performance of iALS on Item Recommendation Benchmarks. Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren |
| 2022 | Scalable Linear Shallow Autoencoder for Collaborative Filtering. Vojtech Vancura, Rodrigo Alves, Petr Kasalický, Pavel Kordík |
| 2022 | Second Workshop on Recommender Systems for Human Resources (RecSys in HR 2022). Toine Bogers, David Graus, Mesut Kaya, Francisco Gutiérrez, Sepideh Mesbah, Chris Johnson |
| 2022 | Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022). Eva Zangerle, Christine Bauer, Alan Said |
| 2022 | Self-Supervised Bot Play for Transcript-Free Conversational Recommendation with Rationales. Shuyang Li, Bodhisattwa Prasad Majumder, Julian J. McAuley |
| 2022 | Solving Diversity-Aware Maximum Inner Product Search Efficiently and Effectively. Kohei Hirata, Daichi Amagata, Sumio Fujita, Takahiro Hara |
| 2022 | Streaming Session-Based Recommendation: When Graph Neural Networks meet the Neighborhood. Sara Latifi, Dietmar Jannach |
| 2022 | Taxonomic Recommendations of Real Estate Properties with Textual Attribute Information. Zachary Harrison, Anish Khazane |
| 2022 | The Effect of Feedback Granularity on Recommender Systems Performance. Ladislav Peska, Stepán Balcar |
| 2022 | Timely Personalization at Peloton: A System and Algorithm for Boosting Time-Relevant Content. Shayak Banerjee, Vijay Pappu, Nilothpal Talukder, Shoya Yoshida, Arnab Bhadury, Allison Schloss, Jasmine Paulino |
| 2022 | TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems. Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, Chin-Chia Michael Yeh, Yan Zheng, Hao Yang |
| 2022 | TorchRec: a PyTorch Domain Library for Recommendation Systems. Dmytro Ivchenko, Dennis van der Staay, Colin Taylor, Xing Liu, Will Feng, Rahul Kindi, Anirudh Sudarshan, Shahin Sefati |
| 2022 | Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity. Kiwan Maeng, Haiyu Lu, Luca Melis, John Nguyen, Mike Rabbat, Carole-Jean Wu |
| 2022 | Towards Psychologically-Grounded Dynamic Preference Models. Mihaela Curmei, Andreas A. Haupt, Benjamin Recht, Dylan Hadfield-Menell |
| 2022 | Towards Recommender Systems with Community Detection and Quantum Computing. Riccardo Nembrini, Costantino Carugno, Maurizio Ferrari Dacrema, Paolo Cremonesi |
| 2022 | Towards the Evaluation of Recommender Systems with Impressions. Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi |
| 2022 | Training and Deploying Multi-Stage Recommender Systems. Ronay Ak, Benedikt Schifferer, Sara Rabhi, Gabriel de Souza Pereira Moreira |
| 2022 | Translating the Public Service Media Remit into Metrics and Algorithms. Andreas Grün, Xenija Neufeld |
| 2022 | Tutorial on Offline Evaluation for Group Recommender Systems. Francesco Barile, Amra Delic, Ladislav Peska |
| 2022 | Two-Layer Bandit Optimization for Recommendations. Siyong Ma, Puja Das, Sofia Maria Nikolakaki, Qifeng Chen, Humeyra Topcu Altintas |
| 2022 | Who do you think I am? Interactive User Modelling with Item Metadata. Joey De Pauw, Koen Ruymbeek, Bart Goethals |
| 2022 | Workshop on Recommenders in Tourism (RecTour). Julia Neidhardt, Wolfgang Wörndl, Tsvi Kuflik, Dmitri Goldenberg, Markus Zanker |
| 2022 | You Say Factorization Machine, I Say Neural Network - It's All in the Activation. Chen Almagor, Yedid Hoshen |
| 2022 | Zillow: Volume Governing for Email and Push Messages. Eric Paul Nichols, Ruomeng Xu, Balasubramanian Thiagarajan, Shruti Kamath |