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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
2011Recommendations as a conversation with the user.Daniel Tunkelang
2011Design guidelines for mobile group recommender systems to handle inaccurate or missing location data.Markus Tschersich
2011CrimeWalker: a recommendation model for suspect investigation.Mohammad A. Tayebi, Mohsen Jamali, Martin Ester, Uwe Glsser, Richard Frank
2011Applications of the conjugate gradient method for implicit feedback collaborative filtering.Gbor Takcs, Istvn Pilszy, Domonkos Tikk
2011Product recommendation and rating prediction based on multi-modal social networks.Panagiotis Symeonidis, Eleftherios Tiakas, Yannis Manolopoulos
2011Recommender systems at the long tail.Neel Sundaresan
2011Item popularity and recommendation accuracy.Harald Steck
2011Rating: how difficult is it?E. Isaac Sparling, Shilad Sen
2011Group recommendation using feature space representing behavioral tendency and power balance among members.Shunichi Seko, Takashi Yagi, Manabu Motegi, Shin-yo Muto
2011An Evaluation of Novelty and Diversity Based on Fuzzy Logic.Simone Santini, Pablo Castells
2011Personalizing tags: a folksonomy-like approach for recommending movies.Alan Said, Benjamin Kille, Ernesto William De Luca, Sahin Albayrak
2011Challenge on context-aware movie recommendation: CAMRa2011.Alan Said, Shlomo Berkovsky, Ernesto William De Luca, Jannis Hermanns
2011myMicSound: an online sound-based microphone recommendation system.Andrew T. Sabin, Chun Liang Chan
2011A user-centric evaluation framework for recommender systems.Pearl Pu, Li Chen, Rong Hu
2011The "top N" news recommender: count distortion and manipulation resistance.Shankar Prawesh, Balaji Padmanabhan
2011Stochastic matching and collaborative filtering to recommend people to people.Luiz Augusto Sangoi Pizzato, Cameron Silvestrini
2011Machine learned job recommendation.Ioannis K. Paparrizos, Berkant Barla Cambazoglu, Aristides Gionis
2011Fusion-based Recommender System for Improving Serendipity.Kenta Oku, Fumio Hattori
2011The Oblivion Problem: Exploiting Forgotten Items to Improve Recommendation Diversity.Fernando Mouro, Claudiane Fonseca, Camila Souza Araujo, Wagner Meira Jr.
2011Social link recommendation by learning hidden topics.Masoud Makrehchi
2011Leveraging the linkedin social network data for extracting content-based user profiles.Pasquale Lops, Marco de Gemmis, Giovanni Semeraro, Fedelucio Narducci, Cataldo Musto
2011LOGO: a long-short user interest integration in personalized news recommendation.Lei Li, Li Zheng, Tao Li
2011Multi-criteria service recommendation based on user criteria preferences.Liwei Liu, Nikolay Mehandjiev, Dong-Ling Xu
2011Wisdom of the better few: cold start recommendation via representative based rating elicitation.Nathan Nan Liu, Xiangrui Meng, Chao Liu, Qiang Yang
2011Random walk based entity ranking on graph for multidimensional recommendation.Sangkeun Lee, Sang-il Song, Minsuk Kahng, Dongjoo Lee, Sang-goo Lee
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