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ACM Conference on Recommender Systems (RecSys)

Source type: conference
Alternate names: 18th ACM Conference on Recommender Systems, Proceedings of the 17th ACM Conference on Recommender Systems, Proceedings of the 20th ACM Conference on Recommender Systems, Conference on Recommender Systems, Sixteenth ACM Conference on Recommender Systems
Fully OA: No
DOAJ: No
OpenAlex ID: S7407086088
Deep Neural Networks for YouTube Recommendations
2016 · Paul Covington, Jay Adams, et al. · ACM Conference on Recommender Systems (RecSys) · 3,541
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A matrix factorization technique with trust propagation for recommendation in social networks
2010 · Mohsen Jamali, Martin Ester · ACM Conference on Recommender Systems (RecSys) · 1,661
Hidden factors and hidden topics
2013 · Julian McAuley, Jure Leskovec · ACM Conference on Recommender Systems (RecSys) · 1,565
Performance of recommender algorithms on top-n recommendation tasks
2010 · Paolo Cremonesi, Yehuda Koren, et al. · ACM Conference on Recommender Systems (RecSys) · 1,440
The YouTube video recommendation system
2010 · James Davidson, Benjamin Liebald, et al. · ACM Conference on Recommender Systems (RecSys) · 1,222
Trust-aware recommender systems
2007 · Paolo Massa, Paolo Avesani · ACM Conference on Recommender Systems (RecSys) · 1,198
A user-centric evaluation framework for recommender systems
2011 · Pearl Pu, Li Chen, et al. · ACM Conference on Recommender Systems (RecSys) · 867
Convolutional Matrix Factorization for Document Context-Aware Recommendation
2016 · Donghyun Kim, Chanyoung Park, et al. · ACM Conference on Recommender Systems (RecSys) · 796
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks
2017 · Massimo Quadrana, Alexandros Karatzoglou, et al. · ACM Conference on Recommender Systems (RecSys) · 743
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Field-aware Factorization Machines for CTR Prediction
2016 · Yuchin Juan, Yong Zhuang, et al. · ACM Conference on Recommender Systems (RecSys) · 731
Rank and relevance in novelty and diversity metrics for recommender systems
2011 · Saúl Vargas, Pablo Castells · ACM Conference on Recommender Systems (RecSys) · 726
Multiverse recommendation
2010 · Alexandros Karatzoglou, Xavier Amatriain, et al. · ACM Conference on Recommender Systems (RecSys) · 722
Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations
2020 · Hongyan Tang, Junning Liu, et al. · ACM Conference on Recommender Systems (RecSys) · 673
Beyond accuracy
2010 · Mouzhi Ge, Carla Delgado-Battenfeld, et al. · ACM Conference on Recommender Systems (RecSys) · 667
Are we really making much progress? A worrying analysis of recent neural recommendation approaches
2019 · Maurizio Ferrari Dacrema, Paolo Cremonesi, et al. · ACM Conference on Recommender Systems (RecSys) · 632
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Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
2022 · Shijie Geng, Shuchang Liu, et al. · ACM Conference on Recommender Systems (RecSys) · 540
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Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations
2016 · Balázs Hidasi, Massimo Quadrana, et al. · ACM Conference on Recommender Systems (RecSys) · 537
Personalized recommendation in social tagging systems using hierarchical clustering
2008 · Andriy Shepitsen, Jonathan Gemmell, et al. · ACM Conference on Recommender Systems (RecSys) · 525
Exploring temporal effects for location recommendation on location-based social networks
2013 · Huiji Gao, Jiliang Tang, et al. · ACM Conference on Recommender Systems (RecSys) · 522
When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation
2017 · Dietmar Jannach, Malte Ludewig · ACM Conference on Recommender Systems (RecSys) · 513
Group recommendations with rank aggregation and collaborative filtering
2010 · Linas Baltrunas, Tadas Makcinskas, et al. · ACM Conference on Recommender Systems (RecSys) · 507
Neural Collaborative Filtering vs. Matrix Factorization Revisited
2020 · Steffen Rendle, Walid Krichene, et al. · ACM Conference on Recommender Systems (RecSys) · 496
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Latent dirichlet allocation for tag recommendation
2009 · Ralf Krestel, Peter Fankhauser, et al. · ACM Conference on Recommender Systems (RecSys) · 492
Recommending twitter users to follow using content and collaborative filtering approaches
2010 · John Hannon, Mike Bennett, et al. · ACM Conference on Recommender Systems (RecSys) · 482
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Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction
2017 · Sungyong Seo, Jing Huang, et al. · ACM Conference on Recommender Systems (RecSys) · 481
Works count: 2,743
Citation count: 88,220
H-index: 134
I10-index: 1,145
2yr mean citedness: 2.881
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