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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
2020Unbiased Learning for the Causal Effect of Recommendation.Masahiro Sato, Sho Takemori, Janmajay Singh, Tomoko Ohkuma
2020Contextual Meta-Bandit for Recommender Systems Selection.Marlesson R. O. Santana, Luckeciano C. Melo, Fernando H. F. Camargo, Bruno Brando, Anderson Soares, Renan M. Oliveira, Sandor Caetano
2020A Nudge-based Recommender System Towards Responsible Online Socializing.Rim Ben Salem, Esma Ameur, Hicham Hage
2020Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions.Yuta Saito
2020Fifth International Workshop on Health Recommender Systems (HealthRecSys 2020).Alan Said, Hanna Schfer, Helma Torkamaan, Christoph Trattner
2020Bayesian Value Based Recommendation: A modelling based alternative to proxy and counterfactual policy based recommendation.David Rohde, Flavian Vasile, Sergey Ivanov, Otmane Sakhi
2020VMI-PSL: Visual Model Inspector for Probabilistic Soft Logic.Aaron Rodden, Tarun Salh, Eriq Augustine, Lise Getoor
2020Neural Collaborative Filtering vs. Matrix Factorization Revisited.Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson
2020On the Heterogeneous Information Needs in the Job Domain: A Unified Platform for Student Career.Markus Reiter-Haas, David Wittenbrink, Emanuel Lacic
2020MultiRec: A Multi-Relational Approach for Unique Item Recommendation in Auction Systems.Ahmed Rashed, Shayan Jawed, Lars Schmidt-Thieme, Andre Hintsches
2020Behavior-based Popularity Ranking on Amazon Video.Lakshmi Ramachandran
2020User Modeling and Churn Prediction in Over-the-top Media Services.Vineeth Rakesh, Ajith Pudiyavitil, Jaideep Chandrashekar
2020Mining Social Networks to Learn about Rumors, Hate Speech, Bias and Polarization - Abstract.Brbara Poblete
2020Taking advantage of images and texts in recommender systems: semantics and explainability.Pablo Prez-Nez
2020Exploiting Performance Estimates for Augmenting Recommendation Ensembles.Gustavo Penha, Rodrygo L. T. Santos
2020What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation.Gustavo Penha, Claudia Hauff
2020Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation.Francisco J. Pea, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Erika Duriakova, Barry Smyth, Aonghus Lawlor
2020A Recommender System for Healthy and Personalized Recipes Recommendations.Florian Pecune, Lucile Callebert, Stacy Marsella
2020Exploratory Methods for Evaluating Recommender Systems.Joey De Pauw
2020Efficiency-Effectiveness Trade-offs in Recommendation Systems.Iulia Paun
2020Towards Safety and Sustainability: Designing Local Recommendations for Post-pandemic World.Gourab K. Patro, Abhijnan Chakraborty, Ashmi Banerjee, Niloy Ganguly
2020Leveraging User Embeddings and Text to Improve CTR Predictions With Deep Recommender Systems.Carlos Miguel Patio, Camilo Velsquez, Juan Manuel Muoz, Juan Manuel Gutirrez, David Ricardo Valencia, Cristian Bartolome Aramburu
2020CuratorNet: Visually-aware Recommendation of Art Images.Denis Parra, Pablo Messina, Manuel Cartagena, Felipe del-Rio, Patricio Cerda-Mardini
2020Personalized User Modelling for Context-Aware Lifestyle Recommendations to Improve Sleep.Vaibhav Pandey, Dhruv Deepak Upadhyay, Nitish Nag, Ramesh C. Jain
2020Investigating the Impact of Audio States & Transitions for Track Sequencing in Music Streaming Sessions.Aaron Ng, Rishabh Mehrotra
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Comparable venues

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