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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
2014System U: automatically deriving personality traits from social media for people recommendation.Hernan Badenes, Mateo N. Bengualid, Jilin Chen, Liang Gou, Eben M. Haber, Jalal Mahmud, Jeffrey W. Nichols, Aditya Pal, Jerald Schoudt, Barton A. Smith, Ying Xuan, Huahai Yang, Michelle X. Zhou
2014Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces.Yoram Bachrach, Yehuda Finkelstein, Ran Gilad-Bachrach, Liran Katzir, Noam Koenigstein, Nir Nice, Ulrich Paquet
2014Diversified Utility Maximization for Recommendations.Azin Ashkan, Branislav Kveton, Shlomo Berkovsky, Zheng Wen
2014The Role of Prior Experience in User's Engagement with a New Recommender System.Marcelo Gabriel Armentano, Silvia N. Schiaffino, Anala Amandi
2014The recommender problem revisited.Xavier Amatriain
2014Convex AUC optimization for top-N recommendation with implicit feedback.Fabio Aiolli
2014PERSPeCT: collaborative filtering for tailored health communications.Roy J. Adams, Rajani S. Sadasivam, Kavitha Balakrishnan, Rebecca L. Kinney, Thomas K. Houston, Benjamin M. Marlin
2014On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems.Panagiotis Adamopoulos, Alexander Tuzhilin
2014Estimating the Value of Multi-Dimensional Data Sets in Context-based Recommender Systems.Panagiotis Adamopoulos, Alexander Tuzhilin
2014REDD 2014 - international workshop on recommender systems evaluation: dimensions and design.Panagiotis Adamopoulos, Alejandro Bellogn, Pablo Castells, Paolo Cremonesi, Harald Steck
2013A fast parallel SGD for matrix factorization in shared memory systems.Yong Zhuang, Wei-Sheng Chin, Yu-Chin Juan, Chih-Jen Lin
2013The Role of Emotions in Context-aware Recommendation.Yong Zheng, Bamshad Mobasher, Robin D. Burke
2013Effectiveness of the data generated on different time in latent factor model.Qianru Zheng, Horace H. S. Ip
2013To personalize or not: a risk management perspective.Weinan Zhang, Jun Wang, Bowei Chen, Xiaoxue Zhao
2013Improving augmented reality using recommender systems.Zhuo Zhang, Shang Shang, Sanjeev R. Kulkarni, Pan Hui
2013Recommending branded products from social media.Yongzheng Zhang, Marco Pennacchiotti
2013Recommendation in heterogeneous information networks with implicit user feedback.Xiao Yu, Xiang Ren, Yizhou Sun, Bradley Sturt, Urvashi Khandelwal, Quanquan Gu, Brandon Norick, Jiawei Han
2013First workshop on large-scale recommender systems: research and best practice(LSRS 2013).Tao Ye, Danny Bickson, Quan Yuan
2013Catch-up TV recommendations: show old favourites and find new ones.Mengxi Xu, Shlomo Berkovsky, Sebastien Ardon, Sipat Triukose, Anirban Mahanti, Irena Koprinska
2013Personalized next-song recommendation in online karaokes.Xiang Wu, Qi Liu, Enhong Chen, Liang He, Jingsong Lv, Can Cao, Guoping Hu
2013Selecting Gestural User Interaction Patterns for Recommender Applications on Smartphones.Wolfgang Wrndl, Jan Weicker, Batrice Lamche
2013When power users attack: assessing impacts in collaborative recommender systems.David C. Wilson, Carlos E. Seminario
2013Learning to rank recommendations with the k-order statistic loss.Jason Weston, Hector Yee, Ron J. Weiss
2013Nonlinear latent factorization by embedding multiple user interests.Jason Weston, Ron J. Weiss, Hector Yee
2013Online multi-task collaborative filtering for on-the-fly recommender systems.Jialei Wang, Steven C. H. Hoi, Peilin Zhao, Zhiyong Liu
2,3012,325 of 2,902← PreviousNext →

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