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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
2023Nonlinear Bandits Exploration for Recommendations.Yi Su, Minmin Chen
2023Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering.Martin Spisk, Radek Bartyzal, Antonn Hoskovec, Ladislav Peska, Miroslav Tuma
2023Towards Sustainability-aware Recommender Systems: Analyzing the Trade-off Between Algorithms Performance and Carbon Footprint.Giuseppe Spillo, Allegra De Filippo, Cataldo Musto, Michela Milano, Giovanni Semeraro
2023Knowledge-Aware Recommender Systems based on Multi-Modal Information Sources.Giuseppe Spillo
2023OutRank: Speeding up AutoML-based Model Search for Large Sparse Data sets with Cardinality-aware Feature Ranking.Blaz Skrlj, Blaz Mramor
2023From Research to Production: Towards Scalable and Sustainable Neural Recommendation Models on Commodity CPU Hardware.Anshumali Shrivastava, Vihan Lakshman, Tharun Medini, Nicholas Meisburger, Joshua Engels, David Torres Ramos, Benito Geordie, Pratik Pranav, Shubh Gupta, Yashwanth Adunukota, Siddharth Jain
2023A Simple yet Strong Approach for Installation Prediction in ShareChat Ads.Xiaoteng Shen, Liangcai Su, Zhutian Lin, Xi Xiao
2023Identifying Controversial Pairs in Item-to-Item Recommendations.Junyi Shen, Dayvid V. R. Oliveira, Jin Cao, Brian Knott, Goodman Gu, Sindhu Vijaya Raghavan, Yunye Jin, Nikita Sudan, Rob Monarch
2023Everyone's a Winner! On Hyperparameter Tuning of Recommendation Models.Faisal Shehzad, Dietmar Jannach
2023Interface Design to Mitigate Inflation in Recommender Systems.Rana Shahout, Yehonatan Peisakhovsky, Sasha Stoikov, Nikhil Garg
2023Ex2Vec: Characterizing Users and Items from the Mere Exposure Effect.Bruno Massoni Sguerra, Viet-Anh Tran, Romain Hennequin
2023Ti-DC-GNN: Incorporating Time-Interval Dual Graphs for Recommender Systems.Nikita Severin, Andrey V. Savchenko, Dmitrii Kiselev, Maria Ivanova, Ivan Kireev, Ilya Makarov
2023Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation.Mete Sertkan, Sophia Althammer, Sebastian Hofsttter, Peter Knees, Julia Neidhardt
2023Investigating the effects of incremental training on neural ranking models.Benedikt Schifferer, Wenzhe Shi, Gabriel de Souza Pereira Moreira, Even Oldridge, Chris Deotte, Gilberto Titericz, Kazuki Onodera, Praveen Dhinwa, Vishal Agrawal, Chris Green
2023Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives.Markus Schedl, Vito Walter Anelli, Elisabeth Lex
2023Annotation Practices in Societally Impactful Machine Learning Applications: What are Popular Recommender Systems Models Actually Trained On?Andra-Georgiana Sav, Andrew M. Demetriou, Cynthia C. S. Liem
2023Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences.Scott Sanner, Krisztian Balog, Filip Radlinski, Ben Wedin, Lucas Dixon
2023Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023).Alan Said, Eva Zangerle, Christine Bauer
2023Scalable Deep Q-Learning for Session-Based Slate Recommendation.Aayush Singha Roy, Edoardo D'Amico, Elias Z. Tragos, Aonghus Lawlor, Neil Hurley
2023Towards Health-Aware Fairness in Food Recipe Recommendation.Mehrdad Rostami, Mohammad Aliannejadi, Mourad Oussalah
2023Time-Aware Item Weighting for the Next Basket Recommendations.Aleksey Romanov, Oleg Lashinin, Marina Ananyeva, Sergey Kolesnikov
2023BehavRec: Workshop on Recommendations for Behavior Change.Amon Rapp, Federica Cena, Christoph Trattner, Rita Orji, Julita Vassileva, Alain Starke
2023BVAE: Behavior-aware Variational Autoencoder for Multi-Behavior Multi-Task Recommendation.Qianzhen Rao, Yang Liu, Weike Pan, Zhong Ming
2023Incorporating Time in Sequential Recommendation Models.Mostafa Rahmani, James Caverlee, Fei Wang
2023CR-SoRec: BERT driven Consistency Regularization for Social Recommendation.Tushar Prakash, Raksha Jalan, Brijraj Singh, Naoyuki Onoe
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Comparable venues

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