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ACM International Conference on Recommender Systems

RecSys

A

CORE rank

CORE rank (raw)

A

Acceptance rate

18.0% (2024 full papers)

Fields of research

Data Management and Data Science

Papers indexed

2,902

2007–2025

Papers per year

2007239 peak2025

RecSys papers

2,902 records sourced from DBLP. Search titles, filter by year, sort by recency.

YearTitleAuthors
2017DIETOS: A Recommender System for Health Profiling and Diet Management in Chronic Diseases.Giuseppe Agapito, Mariadelina Simeoni, Barbara Calabrese, Pietro Hiram Guzzi, Giorgio Fuiano, Mario Cannataro
2017RecSys Challenge 2017: Offline and Online Evaluation.Fabian Abel, Yashar Deldjoo, Mehdi Elahi, Daniel Kohlsdorf
2017Towards Effective Exploration/Exploitation in Sequential Music Recommendation.Himan Abdollahpouri, Steve Essinger
2017Controlling Popularity Bias in Learning-to-Rank Recommendation.Himan Abdollahpouri, Robin Burke, Bamshad Mobasher
2017Using Explainability for Constrained Matrix Factorization.Behnoush Abdollahi, Olfa Nasraoui
2017Improving the Trustworthiness of Recommendations in Collaborative Filtering under the Belief Function Framework.Raoua Abdelkhalek
2017Recommender systems for citizens: the CitRec'17 workshop manifesto.Jie Yang, Ivn Cantador, Diana Nurbakova, Mara E. Corts-Cediel, Alessandro Bozzon
2017Data-Driven Repricing Strategies in Competitive Markets: An Interactive Simulation Platform.Martin Boissier, Rainer Schlosser, Nikolai Podlesny, Sebastian Serth, Marvin Bornstein, Johanna Latt, Jan Lindemann, Jan Selke, Matthias Uflacker
2017Metalearning for Context-aware Filtering: Selection of Tensor Factorization Algorithms.Tiago Cunha, Carlos Soares, Andr C. P. L. F. de Carvalho
2016Hypothesis Testing: How to Eliminate Ideas as Soon as Possible.Roman Zykov
2016A combination of simple models by forward predictor selection for job recommendation.Dvid Zibriczky
2016Neural Autoregressive Collaborative Filtering for Implicit Feedback.Yin Zheng, Cailiang Liu, Bangsheng Tang, Hanning Zhou
2016Adapt to Emotional Reactions in Context-aware Personalization.Yong Zheng
2016Gaze Prediction for Recommender Systems.Qian Zhao, Shuo Chang, F. Maxwell Harper, Joseph A. Konstan
2016An ensemble method for job recommender systems.Chenrui Zhang, Xueqi Cheng
2016Complements and Substitutes in Product Recommendations: The Differential Effects on Consumers' Willingness-to-pay.Mingyue Zhang, Jesse C. Bockstedt
2016Infusing Collaborative Recommenders with Distributed Representations.Greg Zanotti, Miller Horvath, Lucas Nunes Barbosa, Venkata Trinadh Kumar Gupta Immedisetty, Jonathan Gemmell
2016LSRS'16: Workshop on Large-Scale Recommender Systems.Tao Ye, Danny Bickson, Denis Parra
2016Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization.Jie Yang, Zhu Sun, Alessandro Bozzon, Jie Zhang
2016Detecting Trending Venues Using Foursquare's Data.Stephanie Yang, Max Sklar
2016Recommending the World's Knowledge: Application of Recommender Systems at Quora.Lei Yang, Xavier Amatriain
2016Job recommendation with Hawkes process: an effective solution for RecSys Challenge 2016.Wenming Xiao, Xiao Xu, Kang Liang, Junkang Mao, Jun Wang
2016Using Navigation to Improve Recommendations in Real-Time.Chao-Yuan Wu, Christopher V. Alvino, Alexander J. Smola, Justin Basilico
2016Combining Dynamic A/B Experimentation and Recommender Systems in MOOCs.Joseph Jay Williams, Luong Hoang
2016Generating Pseudotransactions for Improving Sparse Matrix Factorization.Agung Toto Wibowo
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Comparable venues

Other A*/A conferences filed under the same field of research.