| Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation |
Gabriel de Souza Pereira Moreira, Sara Rabhi, Jeong Min Lee, Ronay Ak, Even Oldridge |
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code |
22 |
| Stronger Privacy for Federated Collaborative Filtering With Implicit Feedback |
Lorenzo Minto, Moritz Haller, Benjamin Livshits, Hamed Haddadi |
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code |
16 |
| Mitigating Confounding Bias in Recommendation via Information Bottleneck |
Dugang Liu, Pengxiang Cheng, Hong Zhu, Zhenhua Dong, Xiuqiang He, Weike Pan, Zhong Ming |
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code |
16 |
| 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 |
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code |
13 |
| Reenvisioning the comparison between Neural Collaborative Filtering and Matrix Factorization |
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Claudio Pomo |
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code |
13 |
| 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 |
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code |
12 |
| Semi-Supervised Visual Representation Learning for Fashion Compatibility |
Ambareesh Revanur, Vijay Kumar, Deepthi Sharma |
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code |
10 |
| Debiased Explainable Pairwise Ranking from Implicit Feedback |
Khalil Damak, Sami Khenissi, Olfa Nasraoui |
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code |
9 |
| Next-item Recommendations in Short Sessions |
Wenzhuo Song, Shoujin Wang, Yan Wang, Shengsheng Wang |
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code |
9 |
| Sparse Feature Factorization for Recommender Systems with Knowledge Graphs |
Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio, Antonio Ferrara, Alberto Carlo Maria Mancino |
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code |
9 |
| The Dual Echo Chamber: Modeling Social Media Polarization for Interventional Recommending |
Tim Donkers, Jürgen Ziegler |
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code |
8 |
| Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction |
Zhenrui Yue, Zhankui He, Huimin Zeng, Julian J. McAuley |
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code |
7 |
| ProtoCF: Prototypical Collaborative Filtering for Few-shot Recommendation |
Aravind Sankar, Junting Wang, Adit Krishnan, Hari Sundaram |
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code |
7 |
| Siamese Neural Networks for Content-based Cold-Start Music Recommendation |
Michael Pulis, Josef Bajada |
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code |
7 |
| Pessimistic Reward Models for Off-Policy Learning in Recommendation |
Olivier Jeunen, Bart Goethals |
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code |
7 |
| A Constrained Optimization Approach for Calibrated Recommendations |
Sinan Seymen, Himan Abdollahpouri, Edward C. Malthouse |
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code |
7 |
| Counterfactual Learning and Evaluation for Recommender Systems: Foundations, Implementations, and Recent Advances |
Yuta Saito, Thorsten Joachims |
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code |
7 |
| Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item? |
Daichi Amagata, Takahiro Hara |
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code |
6 |
| Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders |
Guillaume SalhaGalvan, Romain Hennequin, Benjamin Chapus, VietAnh Tran, Michalis Vazirgiannis |
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code |
6 |
| "Serving Each User": Supporting Different Eating Goals Through a Multi-List Recommender Interface |
Alain Starke, Edis Asotic, Christoph Trattner |
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code |
6 |
| 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 |
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code |
6 |
| Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021 |
Jiawei Chen, Xiang Wang, Fuli Feng, Xiangnan He |
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code |
6 |
| Towards Unified Metrics for Accuracy and Diversity for Recommender Systems |
Javier Parapar, Filip Radlinski |
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code |
6 |
| Auditing the Effect of Social Network Recommendations on Polarization in Geometrical Ideological Spaces |
Pedro Ramaciotti Morales, JeanPhilippe Cointet |
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code |
6 |
| FR-FMSS: Federated Recommendation via Fake Marks and Secret Sharing |
Zhaohao Lin, Weike Pan, Zhong Ming |
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code |
6 |
| 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 |
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code |
5 |
| A Payload Optimization Method for Federated Recommender Systems |
Farwa K. Khan, Adrian Flanagan, Kuan Eeik Tan, Zareen Alamgir, Muhammad Ammaduddin |
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code |
5 |
| Dynamic Graph Construction for Improving Diversity of Recommendation |
Rui Ye, Yuqing Hou, Te Lei, Yunxing Zhang, Qing Zhang, Jiale Guo, Huaiwen Wu, Hengliang Luo |
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code |
5 |
| A Low-Code Tool Supporting the Development of Recommender Systems |
Claudio Di Sipio, Juri Di Rocco, Davide Di Ruscio, Phuong Thanh Nguyen |
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code |
5 |
| Follow the guides: disentangling human and algorithmic curation in online music consumption |
Quentin Villermet, Jérémie Poiroux, Manuel Moussallam, Thomas Louail, Camille Roth |
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code |
5 |
| Information Interactions in Outcome Prediction: Quantification and Interpretation using Stochastic Block Models |
Gaël PouxMédard, Julien Velcin, Sabine Loudcher |
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code |
5 |
| 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 |
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code |
4 |
| Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions |
Ivica Kostric, Krisztian Balog, Filip Radlinski |
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code |
4 |
| Connecting Students with Research Advisors Through User-Controlled Recommendation |
Behnam Rahdari, Peter Brusilovsky, Alireza Javadian Sabet |
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code |
4 |
| User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms |
Ningxia Wang, Li Chen |
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code |
4 |
| Recommendation on Live-Streaming Platforms: Dynamic Availability and Repeat Consumption |
Jérémie Rappaz, Julian J. McAuley, Karl Aberer |
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code |
4 |
| I Want to Break Free! Recommending Friends from Outside the Echo Chamber |
Antonela Tommasel, Juan Manuel Rodriguez, Daniela Godoy |
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code |
4 |
| Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender Systems |
Danni Peng, Sinno Jialin Pan, Jie Zhang, Anxiang Zeng |
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code |
4 |
| Quality Metrics in Recommender Systems: Do We Calculate Metrics Consistently? |
YanMartin Tamm, Rinchin Damdinov, Alexey Vasilev |
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code |
4 |
| Accordion: A Trainable Simulator forLong-Term Interactive Systems |
James McInerney, Ehtsham Elahi, Justin Basilico, Yves Raimond, Tony Jebara |
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code |
4 |
| Top-K Contextual Bandits with Equity of Exposure |
Olivier Jeunen, Bart Goethals |
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code |
4 |
| Predicting Music Relistening Behavior Using the ACT-R Framework |
Markus ReiterHaas, Emilia ParadaCabaleiro, Markus Schedl, Elham Motamedi, Marko Tkalcic, Elisabeth Lex |
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code |
4 |
| Evaluating the Robustness of Off-Policy Evaluation |
Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno |
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code |
4 |
| Tops, Bottoms, and Shoes: Building Capsule Wardrobes via Cross-Attention Tensor Network |
Huiyuan Chen, Yusan Lin, Fei Wang, Hao Yang |
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code |
4 |
| 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 |
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code |
3 |
| Generation-based vs. Retrieval-based Conversational Recommendation: A User-Centric Comparison |
Ahtsham Manzoor, Dietmar Jannach |
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code |
3 |
| A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models |
Alexander Dallmann, Daniel Zoller, Andreas Hotho |
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code |
3 |
| Large-scale Interactive Conversational Recommendation System using Actor-Critic Framework |
Ali Montazeralghaem, James Allan, Philip S. Thomas |
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code |
3 |
| Recommender Systems for Personalized User Experience: Lessons learned at Booking.com |
Ioannis Kangas, Maud Schwoerer, Lucas J. Bernardi |
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code |
3 |
| Negative Interactions for Improved Collaborative Filtering: Don't go Deeper, go Higher |
Harald Steck, Dawen Liang |
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code |
3 |
| RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation |
Wenqiang Lei, Chongming Gao, Maarten de Rijke |
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code |
3 |
| The role of preference consistency, defaults and musical expertise in users' exploration behavior in a genre exploration recommender |
Yu Liang, Martijn C. Willemsen |
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code |
3 |
| Debiased Off-Policy Evaluation for Recommendation Systems |
Yusuke Narita, Shota Yasui, Kohei Yata |
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code |
3 |
| Multi-Modal Recommender Systems: Hands-On Exploration |
QuocTuan Truong, Aghiles Salah, Hady W. Lauw |
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code |
3 |
| 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 |
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code |
3 |
| 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 |
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code |
3 |
| DataHunter: A System for Finding Datasets Based on Scientific Problem Descriptions |
Michael Färber, AnnKathrin Leisinger |
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code |
3 |
| 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 |
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code |
2 |
| Content-based book recommendations: Personalised and explainable recommendations without the cold-start problem |
Niels Bogaards, Frederique Schut |
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code |
2 |
| Together is Better: Hybrid Recommendations Combining Graph Embeddings and Contextualized Word Representations |
Marco Polignano, Cataldo Musto, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro |
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code |
2 |
| Values of User Exploration in Recommender Systems |
Minmin Chen, Yuyan Wang, Can Xu, Ya Le, Mohit Sharma, Lee Richardson, SuLin Wu, Ed H. Chi |
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code |
2 |
| Online Learning for Recommendations at Grubhub |
Alex Egg |
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code |
2 |
| Global-Local Item Embedding for Temporal Set Prediction |
Seungjae Jung, YoungJin Park, Jisu Jeong, KyungMin Kim, Hiun Kim, Minkyu Kim, Hanock Kwak |
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code |
2 |
| Fast Multi-Step Critiquing for VAE-based Recommender Systems |
Diego Antognini, Boi Faltings |
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code |
2 |
| cDLRM: Look Ahead Caching for Scalable Training of Recommendation Models |
Keshav Balasubramanian, Abdulla Alshabanah, Joshua D. Choe, Murali Annavaram |
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code |
2 |
| Hierarchical Latent Relation Modeling for Collaborative Metric Learning |
VietAnh Tran, Guillaume SalhaGalvan, Romain Hennequin, Manuel Moussallam |
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code |
2 |
| You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack |
Jacopo Tagliabue |
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code |
2 |
| Shared Neural Item Representations for Completely Cold Start Problem |
Ramin Raziperchikolaei, Guannan Liang, Youngjoo Chung |
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code |
2 |
| Building a Platform for Ensemble-based Personalized Research Literature Recommendations for AI and Data Science at Zeta Alpha |
Jakub Zavrel, Artem Grotov, Jonathan Mitnik |
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code |
1 |
| Learning Dynamic Insurance Recommendations from Users' Click Sessions |
Simone Borg Bruun |
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code |
1 |
| Recommendations and Results Organization in Netflix Search |
Sudarshan Dnyaneshwar Lamkhede, Christoph Kofler |
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code |
1 |
| Leveraging Multi-Faceted User Preferences for Improving Click-Through Rate Predictions |
Pan Li |
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code |
1 |
| Learning a Voice-based Conversational Recommender using Offline Policy Optimization |
François Mairesse, Zhonghao Luo, Tao Ye |
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code |
1 |
| Learning to Match Job Candidates Using Multilingual Bi-Encoder BERT |
Dor Lavi |
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code |
1 |
| Personalised Outfit Recommendations: Use Cases, Challenges and Opportunities |
Nick Landia |
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code |
1 |
| Investigating Overparameterization for Non-Negative Matrix Factorization in Collaborative Filtering |
Yuhi Kawakami, Mahito Sugiyama |
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code |
1 |
| Large-Scale Modeling of Mobile User Click Behaviors Using Deep Learning |
Xin Zhou, Yang Li |
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code |
1 |
| Towards Source-Aligned Variational Models for Cross-Domain Recommendation |
Aghiles Salah, ThanhBinh Tran, Hady W. Lauw |
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code |
1 |
| 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 |
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code |
1 |
| Local Factor Models for Large-Scale Inductive Recommendation |
Longqi Yang, Tobias Schnabel, Paul N. Bennett, Susan T. Dumais |
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code |
1 |
| Burst-induced Multi-Armed Bandit for Learning Recommendation |
Rodrigo Alves, Antoine Ledent, Marius Kloft |
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code |
1 |
| Exploration in Recommender Systems |
Minmin Chen |
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code |
1 |
| Estimating and Penalizing Preference Shift in Recommender Systems |
Micah Carroll, Dylan HadfieldMenell, Stuart Russell, Anca D. Dragan |
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code |
1 |
| Multi-Step Critiquing User Interface for Recommender Systems |
Diana Andreea Petrescu, Diego Antognini, Boi Faltings |
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code |
1 |
| End-to-End Session-Based Recommendation on GPU |
Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Benedikt Schifferer |
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code |
1 |
| Matrix Factorization for Collaborative Filtering Is Just Solving an Adjoint Latent Dirichlet Allocation Model After All |
Florian Wilhelm |
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code |
1 |
| Partially Observable Reinforcement Learning for Dialog-based Interactive Recommendation |
Yaxiong Wu, Craig Macdonald, Iadh Ounis |
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code |
1 |
| Privacy Preserving Collaborative Filtering by Distributed Mediation |
Alon Ben Horin, Tamir Tassa |
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code |
1 |
| Building Public Service Recommenders: Logbook of a Journey |
Christina Boididou, Di Sheng, Felix J. Mercer Moss, Alessandro Piscopo |
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code |
1 |
| Drug Discovery as a Recommendation Problem: Challenges and Complexities in Biological Decisions |
Anna Gogleva, Eliseo Papa, Erik Jansson, Greet De Baets |
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code |
1 |
| Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES) |
Eva Zangerle, Christine Bauer, Alan Said |
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code |
1 |
| 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 |
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code |
1 |
| Scaling TensorFlow to 300 million predictions per second |
Jan Hartman, Davorin Kopic |
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code |
1 |
| Neural Basket Embedding for Sequential Recommendation |
Vojtech Vancura |
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code |
0 |
| AIR: Personalized Product Recommender System for Nike's Digital Transformation |
Steven Essinger, Dave Huber, Daniel Tang |
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code |
0 |
| The Idiosyncratic Effects of Adversarial Training on Bias in Personalized Recommendation Learning |
Vito Walter Anelli, Tommaso Di Noia, Felice Antonio Merra |
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code |
0 |
| Transfer Learning in Collaborative Recommendation for Bias Reduction |
Zinan Lin, Dugang Liu, Weike Pan, Zhong Ming |
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code |
0 |
| Personalizing Peloton: Combining Rankers and Filters To Balance Engagement and Business Goals |
Shayak Banerjee, Arnab Bhadury, Nilothpal Talukder, Santosh Thammana |
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code |
0 |
| Recommenders in Banking: An End-to-end Personalization Pipeline within ING |
Carlos VaqueroPatricio, Nikki Van Ommeren, Santiago GilBegue |
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code |
0 |
| Modeling Users and Items for Recommenders: There Is More than Semantics |
Mete Sertkan |
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code |
0 |
| Online Evaluation Methods for the Causal Effect of Recommendations |
Masahiro Sato |
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code |
0 |
| Jointly Optimize Capacity, Latency and Engagement in Large-scale Recommendation Systems |
Hitesh Khandelwal, Viet HaThuc, Avishek Dutta, Yining Lu, Nan Du, Zhihao Li, Qi Hu |
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code |
0 |
| RecSysOps: Best Practices for Operating a Large-Scale Recommender System |
Mohammad Saberian, Justin Basilico |
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code |
0 |
| Eigenvalue Perturbation for Item-based Recommender Systems |
Cesare Bernardis, Paolo Cremonesi |
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code |
0 |
| An Ontology-based Knowledgebase for User Profile and Garment Features in Apparel Recommender Systems |
Bolanle Olufisayo Dahunsi |
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code |
0 |
| Biases in Recommendation System |
Saumya Bhadani |
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code |
0 |
| Measuring and Mitigating Bias and Harm in Personalized Advertising |
Muhammad Ali |
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code |
0 |
| 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 GarciaGathright, Bouke Huurnink, Even Oldridge |
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code |
0 |
| Boosting Local Recommendations With Partially Trained Global Model |
Yuxi Zhang, Kexin Xie |
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code |
0 |
| Challenges Experienced in Public Service Media Recommendation Systems |
Andreas Grün, Xenija Neufeld |
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code |
0 |
| Fairness in Reviewer Recommendations at Elsevier |
Daniel James Kershaw, Rob Koeling, Stephan Bourgeois, Antonio Trenta, Harriet J. Muncey |
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code |
0 |
| Offline Evaluation Standards for Recommender Systems |
Chin Lin Wong, Diego Marinho de Oliveira, Farhad Zafari, Fernando Mourão, Rafael Colares, Sabir Ribas |
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code |
0 |
| Recommendations at Videoland |
Mateo Gutierrez Granada, Daan Odijk |
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code |
0 |
| Scaling Enterprise Recommender Systems for Decentralization |
Maurits van der Goes |
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code |
0 |
| Automatic Collection Creation and Recommendation |
Sanidhya Singal, Piyush Singh, Manjeet Dahiya |
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code |
0 |
| An Interpretable Recommendation Model for Gerontological Care |
Andre Paulino de Lima, Laurentino Augusto Dantas, Marcelo Garcia Manzato, Maria da Graça Campos Pimentel, Brunela D. M. Orlandi, Paula Castro |
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code |
0 |
| Horizontal Cross-Silo Federated Recommender Systems |
Saikishore Kalloori, Severin Klingler |
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code |
0 |
| Play It Again, Sam! Recommending Familiar Music in Fresh Ways |
Giovanni Gabbolini, Derek Bridge |
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code |
0 |
| Optimizing the Selection of Recommendation Carousels with Quantum Computing |
Maurizio Ferrari Dacrema, Nicolò Felicioni, Paolo Cremonesi |
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code |
0 |
| Sequence Adaptation via Reinforcement Learning in Recommender Systems |
Stefanos Antaris, Dimitrios Rafailidis |
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code |
0 |
| 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 |
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code |
0 |
| Generic Automated Lead Ranking in Dynamics CRM |
Royi Ronen, Hilik Berezin, Rotem Preizler, Gopal Kasturi, A. J. Ezzour, Sayalee Bhanavase, Edan Hauon, Oron Nir |
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code |
0 |
| NU: BRIEF - A Privacy-aware Newsletter Personalization Engine for Publishers |
Ernesto DiazAviles, Claudia OrellanaRodriguez, Igor Brigadir, Reshma Narayanan Kutty |
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code |
0 |
| Argument-based generation and explanation of recommendations |
Andrés SeguraTinoco |
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code |
0 |
| Learning to Represent Human Motives for Goal-directed Web Browsing |
JyunYu Jiang, ChiaJung Lee, Longqi Yang, Bahareh Sarrafzadeh, Brent J. Hecht, Jaime Teevan |
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code |
0 |