| Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5) |
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang |
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code |
8 |
| 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 |
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code |
3 |
| A Lightweight Transformer for Next-Item Product Recommendation |
M. Jeffrey Mei, Cole Zuber, Yasaman Khazaeni |
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code |
3 |
| Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity |
Kiwan Maeng, Haiyu Lu, Luca Melis, John Nguyen, Mike Rabbat, CaroleJean Wu |
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code |
3 |
| Denoising Self-Attentive Sequential Recommendation |
Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, ChinChia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang |
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code |
2 |
| A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation |
Aleksandr Petrov, Craig Macdonald |
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code |
2 |
| 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 |
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code |
2 |
| Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation |
Hossein A. Rahmani, Mohammadmehdi Naghiaei, Ali Tourani, Yashar Deldjoo |
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code |
2 |
| Solving Diversity-Aware Maximum Inner Product Search Efficiently and Effectively |
Kohei Hirata, Daichi Amagata, Sumio Fujita, Takahiro Hara |
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code |
2 |
| Do Recommender Systems Make Social Media More Susceptible to Misinformation Spreaders? |
Antonela Tommasel, Filippo Menczer |
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code |
2 |
| Fairness-aware Federated Matrix Factorization |
Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amélie Marian |
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code |
2 |
| RecSys Challenge 2022: Fashion Purchase Prediction |
Nick Landia, Frederick Cheung, Donna North, Saikishore Kalloori, Abhishek Srivastava, Bruce Ferwerda |
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code |
2 |
| 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 |
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code |
1 |
| 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 |
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code |
1 |
| BRUCE: Bundle Recommendation Using Contextualized item Embeddings |
Tzoof Avny Brosh, Amit Livne, Oren Sar Shalom, Bracha Shapira, Mark Last |
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code |
1 |
| Challenges in Translating Research to Practice for Evaluating Fairness and Bias in Recommendation Systems |
Lex Beattie, Dan Taber, Henriette Cramer |
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code |
1 |
| Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders |
Zhenrui Yue, Huimin Zeng, Ziyi Kou, Lanyu Shang, Dong Wang |
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code |
1 |
| RADio - Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations |
Sanne Vrijenhoek, Gabriel Bénédict, Mateo Gutierrez Granada, Daan Odijk, Maarten de Rijke |
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code |
1 |
| Pursuing Optimal Trade-Off Solutions in Multi-Objective Recommender Systems |
Vincenzo Paparella |
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code |
1 |
| Learning Recommendations from User Actions in the Item-poor Insurance Domain |
Simone Borg Bruun, Maria Maistro, Christina Lioma |
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code |
1 |
| Don't recommend the obvious: estimate probability ratios |
Roberto Pellegrini, Wenjie Zhao, Iain Murray |
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code |
1 |
| 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 |
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code |
1 |
| Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation |
Karthik Shivaram, Ping Liu, Matthew A. Shapiro, Mustafa Bilgic, Aron Culotta |
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code |
1 |
| Off-Policy Actor-critic for Recommender Systems |
Minmin Chen, Can Xu, Vince Gatto, Devanshu Jain, Aviral Kumar, Ed H. Chi |
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code |
1 |
| Recommending for a multi-sided marketplace with heterogeneous contents |
Yuyan Wang, Long Tao, XianXing Zhang |
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code |
1 |
| A Multi-Stakeholder Recommender System for Rewards Recommendations |
Naime Ranjbar Kermany, Luiz Pizzato, Thireindar Min, Callum Scott, Anna Leontjeva |
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code |
1 |
| Towards Recommender Systems with Community Detection and Quantum Computing |
Riccardo Nembrini, Costantino Carugno, Maurizio Ferrari Dacrema, Paolo Cremonesi |
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code |
1 |
| 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 |
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code |
1 |
| Hands on Explainable Recommender Systems with Knowledge Graphs |
Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Mirko Marras |
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code |
1 |
| Towards Psychologically-Grounded Dynamic Preference Models |
Mihaela Curmei, Andreas A. Haupt, Benjamin Recht, Dylan HadfieldMenell |
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code |
1 |
| Designing and evaluating explainable AI for non-AI experts: challenges and opportunities |
Maxwell Szymanski, Katrien Verbert, Vero Vanden Abeele |
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code |
1 |
| Aspect Re-distribution for Learning Better Item Embeddings in Sequential Recommendation |
Wei Cai, Weike Pan, Jingwen Mao, Zhechao Yu, Congfu Xu |
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code |
0 |
| Dynamic Surrogate Switching: Sample-Efficient Search for Factorization Machine Configurations in Online Recommendations |
Blaz Skrlj, Adi Schwartz, Jure Ferlez, Davorin Kopic, Naama Ziporin |
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code |
0 |
| Augmenting Netflix Search with In-Session Adapted Recommendations |
Moumita Bhattacharya, Sudarshan Lamkhede |
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code |
0 |
| Effective and Efficient Training for Sequential Recommendation using Recency Sampling |
Aleksandr Petrov, Craig Macdonald |
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code |
0 |
| 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 |
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code |
0 |
| Rethinking Personalized Ranking at Pinterest: An End-to-End Approach |
Jiajing Xu, Andrew Zhai, Charles Rosenberg |
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code |
0 |
| Matching Theory-based Recommender Systems in Online Dating |
Yoji Tomita, Riku Togashi, Daisuke Moriwaki |
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code |
0 |
| Context and Attribute-Aware Sequential Recommendation via Cross-Attention |
Ahmed Rashed, Shereen Elsayed, Lars SchmidtThieme |
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code |
0 |
| Exploiting Negative Preference in Content-based Music Recommendation with Contrastive Learning |
Minju Park, Kyogu Lee |
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code |
0 |
| Bundle MCR: Towards Conversational Bundle Recommendation |
Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley |
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code |
0 |
| Self-Supervised Bot Play for Transcript-Free Conversational Recommendation with Rationales |
Shuyang Li, Bodhisattwa Prasad Majumder, Julian J. McAuley |
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code |
0 |
| MARRS: A Framework for multi-objective risk-aware route recommendation using Multitask-Transformer |
Bhumika, Debasis Das |
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code |
0 |
| 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 |
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code |
0 |
| CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems |
Olivier Jeunen, Thorsten Joachims, Harrie Oosterhuis, Yuta Saito, Flavian Vasile |
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code |
0 |
| Neural Re-ranking for Multi-stage Recommender Systems |
Weiwen Liu, Jiarui Qin, Ruiming Tang, Bo Chen |
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code |
0 |
| Conversational Recommender System Using Deep Reinforcement Learning |
Omprakash Sonie |
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code |
0 |
| Modeling User Repeat Consumption Behavior for Online Novel Recommendation |
Yuncong Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Jing Cai, Leeven Luo, Shenghua Zhong |
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code |
0 |
| Fast and Accurate User Cold-Start Learning Using Monte Carlo Tree Search |
Dilina Chandika Rajapakse, Douglas J. Leith |
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code |
0 |
| Streaming Session-Based Recommendation: When Graph Neural Networks meet the Neighborhood |
Sara Latifi, Dietmar Jannach |
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code |
0 |
| RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data |
Lien Michiels, Robin Verachtert, Bart Goethals |
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code |
0 |
| A User-Centered Investigation of Personal Music Tours |
Giovanni Gabbolini, Derek G. Bridge |
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code |
0 |
| Revisiting the Performance of iALS on Item Recommendation Benchmarks |
Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren |
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code |
0 |
| EANA: Reducing Privacy Risk on Large-scale Recommendation Models |
Lin Ning, Steve Chien, Shuang Song, Mei Chen, Yunqi Xue, Devora Berlowitz |
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code |
0 |
| 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 |
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code |
0 |
| Personalizing Benefits Allocation Without Spending Money: Utilizing Uplift Modeling in a Budget Constrained Setup |
Dmitri Goldenberg, Javier Albert |
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code |
0 |
| 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 |
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code |
0 |
| An Incremental Learning framework for Large-scale CTR Prediction |
Petros Katsileros, Nikiforos Mandilaras, Dimitrios Mallis, Vassilis Pitsikalis, Stavros Theodorakis, Gil Chamiel |
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code |
0 |
| Optimizing product recommendations for millions of merchants |
Kim Falk, Chen Karako |
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code |
0 |
| Two-Layer Bandit Optimization for Recommendations |
Siyong Ma, Puja Das, Sofia Maria Nikolakaki, Qifeng Chen, Humeyra Topcu Altintas |
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code |
0 |
| 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 |
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code |
0 |
| The Effect of Feedback Granularity on Recommender Systems Performance |
Ladislav Peska, Stepán Balcar |
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code |
0 |
| Hands-on Reinforcement Learning for Recommender Systems - From Bandits to SlateQ to Offline RL with Ray RLlib |
Christy D. Bergman, Kourosh Hakhamaneshi |
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code |
0 |
| Long-term fairness for Group Recommender Systems with Large Groups |
Patrik Dokoupil |
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code |
0 |
| Heterogeneous Graph Representation Learning for multi-target Cross-Domain Recommendation |
Tendai Mukande |
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code |
0 |
| 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 |
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code |
0 |
| Multi-Modal Dialog State Tracking for Interactive Fashion Recommendation |
Yaxiong Wu, Craig Macdonald, Iadh Ounis |
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code |
0 |
| ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations |
Alessandro B. Melchiorre, Navid Rekabsaz, Christian Ganhör, Markus Schedl |
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code |
0 |
| TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems |
Huiyuan Chen, Xiaoting Li, Kaixiong Zhou, Xia Hu, ChinChia Michael Yeh, Yan Zheng, Hao Yang |
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code |
0 |
| Learning to Ride a Buy-Cycle: A Hyper-Convolutional Model for Next Basket Repurchase Recommendation |
Ori Katz, Oren Barkan, Noam Koenigstein, Nir Zabari |
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code |
0 |
| Adversary or Friend? An adversarial Approach to Improving Recommender Systems |
Pannaga Shivaswamy, Dario GarcíaGarcía |
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code |
0 |
| Reusable Self-Attention Recommender Systems in Fashion Industry Applications |
Marjan Celikik, Ana PeleteiroRamallo, Jacek Wasilewski |
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code |
0 |
| Flow Moods: Recommending Music by Moods on Deezer |
Théo Bontempelli, Benjamin Chapus, François Rigaud, Mathieu Morlon, Marin Lorant, Guillaume SalhaGalvan |
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code |
0 |
| Taxonomic Recommendations of Real Estate Properties with Textual Attribute Information |
Zachary Harrison, Anish Khazane |
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code |
0 |
| Recommendations: They're in fashion |
Carlos Carvalheira, Tiago Lacerda, Diogo Gonçalves |
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code |
0 |
| 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 |
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code |
0 |
| Client Time Series Model: a Multi-Target Recommender System based on Temporally-Masked Encoders |
Dirk Sierag, Kevin Zielnicki |
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code |
0 |
| Recommendation Systems for Ad Creation: A View from the Trenches |
Manisha Verma, Shaunak Mishra |
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code |
0 |
| Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship |
Andres Ferraro, Gustavo Ferreira, Fernando Diaz, Georgina Born |
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code |
0 |
| Recommender Systems and Algorithmic Hate |
Jessie J. Smith, Lucia Jayne, Robin Burke |
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code |
0 |
| Scalable Linear Shallow Autoencoder for Collaborative Filtering |
Vojtech Vancura, Rodrigo Alves, Petr Kasalický, Pavel Kordík |
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code |
0 |
| Towards the Evaluation of Recommender Systems with Impressions |
Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi |
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code |
0 |
| Multiobjective Evaluation of Reinforcement Learning Based Recommender Systems |
Alexey Grishanov, Anastasia Ianina, Konstantin V. Vorontsov |
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code |
0 |
| DAGFiNN: A Conversational Conference Assistant |
Ivica Kostric, Krisztian Balog, Tølløv Alexander Aresvik, Nolwenn Bernard, Eyvinn Thu Dørheim, Pholit Hantula, Sander HavnSørensen, Rune Henriksen, Hengameh Hosseini, Ekaterina Khlybova, Weronika Lajewska, Sindre Ekrheim Mosand, Narmin Orujova |
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code |
0 |
| Building and Deploying a Multi-Stage Recommender System with Merlin |
Karl Higley, Even Oldridge, Ronay Ak, Sara Rabhi, Gabriel de Souza Pereira Moreira |
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code |
0 |
| RepSys: Framework for Interactive Evaluation of Recommender Systems |
Jan Safarík, Vojtech Vancura, Pavel Kordík |
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code |
0 |
| REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale |
Richard Liaw, Paige Bailey, Ying Li, Maria Dimakopoulou, Yves Raimond |
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code |
0 |
| Tutorial on Offline Evaluation for Group Recommender Systems |
Francesco Barile, Amra Delic, Ladislav Peska |
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code |
0 |
| Training and Deploying Multi-Stage Recommender Systems |
Ronay Ak, Benedikt Schifferer, Sara Rabhi, Gabriel de Souza Pereira Moreira |
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code |
0 |
| Improving Recommender Systems with Human-in-the-Loop |
Dmitry Ustalov, Natalia Fedorova, Nikita Pavlichenko |
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code |
0 |
| Psychology-informed Recommender Systems Tutorial |
Elisabeth Lex, Markus Schedl |
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code |
0 |
| KA-Recsys: Knowledge Appropriate Patient Focused Recommendation Technologies |
Khushboo Thaker |
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code |
0 |
| An Interpretable Neural Network Model for Bundle Recommendations: Doctoral Symposium, Extended Abstract |
Xinyi Li, Edward C. Malthouse |
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code |
0 |
| Developing a Human-Centered Framework for Transparency in Fairness-Aware Recommender Systems |
Jessie J. Smith |
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code |
0 |
| Fair Ranking Metrics |
Amifa Raj |
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code |
0 |
| Enhancing Counterfactual Evaluation and Learning for Recommendation Systems |
Nicolò Felicioni |
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code |
0 |
| Exploring the longitudinal effects of nudging on users' music genre exploration behavior and listening preferences |
Yu Liang, Martijn C. Willemsen |
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code |
0 |
| Evaluation Framework for Cold-Start Techniques in Large-Scale Production Settings |
Moran Haham |
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code |
0 |
| 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 |
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code |
0 |
| Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding |
Jan Hartman, Davorin Kopic |
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code |
0 |
| Estimating Long-term Effects from Experimental Data |
Ziyang Tang, Yiheng Duan, Steven Zhu, Stephanie Zhang, Lihong Li |
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code |
0 |
| Who do you think I am? Interactive User Modelling with Item Metadata |
Joey De Pauw, Koen Ruymbeek, Bart Goethals |
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code |
0 |
| Countering Popularity Bias by Regularizing Score Differences |
Wondo Rhee, Sung Min Cho, Bongwon Suh |
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code |
0 |
| Dynamic Global Sensitivity for Differentially Private Contextual Bandits |
Huazheng Wang, David Zhao, Hongning Wang |
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code |
0 |
| Learning Users' Preferred Visual Styles in an Image Marketplace |
Raul Gomez Bruballa, Lauren BurnhamKing, Alessandra Sala |
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code |
0 |
| Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization |
Bruno Sguerra, VietAnh Tran, Romain Hennequin |
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code |
0 |
| "My AI must have been broken": How AI Stands to Reshape Human Communication |
Mor Naaman |
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code |
0 |
| Co-designing ML Models with Data Activists |
Catherine D'Ignazio |
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code |
0 |
| Modeling Two-Way Selection Preference for Person-Job Fit |
Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, JiRong Wen, Wayne Xin Zhao |
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code |
0 |
| Dual Attentional Higher Order Factorization Machines |
Arindam Sarkar, Dipankar Das, Vivek Sembium, Prakash Mandayam Comar |
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code |
0 |
| You Say Factorization Machine, I Say Neural Network - It's All in the Activation |
Chen Almagor, Yedid Hoshen |
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code |
0 |
| Translating the Public Service Media Remit into Metrics and Algorithms |
Andreas Grün, Xenija Neufeld |
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code |
0 |
| Zillow: Volume Governing for Email and Push Messages |
Eric Paul Nichols, Ruomeng Xu, Balasubramanian Thiagarajan, Shruti Kamath |
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code |
0 |
| Automate Page Layout Optimization: An Offline Deep Q-Learning Approach |
Zhou Qin, Wenyang Liu |
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code |
0 |