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Context-awareness in recommender systems: research workshop and movie recommendation challenge

Authors:

Gediminas Adomavicius,

Alexander Tuzhilin,

Shlomo Berkovsky,

Ernesto W. De Luca,

Alan SaidAuthors Info & Claims

RecSys '10: Proceedings of the fourth ACM conference on Recommender systems

Pages 385 - 386

https://doi.org/10.1145/1864708.1864801

Published: 26 September 2010 Publication History

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Abstract

CARS and CAMRa were organized under the Context-awareness in Recommendation Systems special event and gathered academic researchers as well as industrial practitioners in a workshop and challenge.

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Bashir SRaza SMisic V(2024)A Narrative Review of Identity, Data and Location Privacy Techniques in Edge Computing and Mobile CrowdsourcingElectronics10.3390/electronics1321422813:21(4228)Online publication date: 28-Oct-2024
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Schiavon LNipoti BCanale A(2024)Accelerated structured matrix factorizationJournal of Computational and Graphical Statistics10.1080/10618600.2023.2301072(1-19)Online publication date: 3-Jan-2024
https://doi.org/10.1080/10618600.2023.2301072
Wang CLiu AQin T(2024)Learning-to-rank debias with popularity-weighted negative sampling and popularity regularizationNeurocomputing10.1016/j.neucom.2024.127681587(127681)Online publication date: Jun-2024
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Index Terms

Context-awareness in recommender systems: research workshop and movie recommendation challenge
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking

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Information

Published In

RecSys '10: Proceedings of the fourth ACM conference on Recommender systems

September 2010

402 pages

ISBN:9781605589060

DOI:10.1145/1864708

General Chairs:
Xavier Amatriain
Telefonica Research, Spain
,
Marc Torrens
Strands, Spain
,
Program Chairs:
Paul Resnick
University of Michigan, USA
,
Markus Zanker
Alpen-Adria-Universität Klagenfurt, Austria

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Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 September 2010

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RecSys '10

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SIGCHI

RecSys '10: Fourth ACM Conference on Recommender Systems

September 26 - 30, 2010

Barcelona, Spain

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Overall Acceptance Rate 254 of 1,295 submissions, 20%

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Bashir SRaza SMisic V(2024)A Narrative Review of Identity, Data and Location Privacy Techniques in Edge Computing and Mobile CrowdsourcingElectronics10.3390/electronics1321422813:21(4228)Online publication date: 28-Oct-2024
https://doi.org/10.3390/electronics13214228
Schiavon LNipoti BCanale A(2024)Accelerated structured matrix factorizationJournal of Computational and Graphical Statistics10.1080/10618600.2023.2301072(1-19)Online publication date: 3-Jan-2024
https://doi.org/10.1080/10618600.2023.2301072
Wang CLiu AQin T(2024)Learning-to-rank debias with popularity-weighted negative sampling and popularity regularizationNeurocomputing10.1016/j.neucom.2024.127681587(127681)Online publication date: Jun-2024
https://doi.org/10.1016/j.neucom.2024.127681
Zhu Z(2023)Deep Learning for FM-Based Recommendation: A Systematic Study on DeepFm and Its ApplicationFrontier Computing10.1007/978-981-99-1428-9_92(747-756)Online publication date: 24-May-2023
https://doi.org/10.1007/978-981-99-1428-9_92
Kapur GAsic Hussain M(2023)Identifying Challenges of Indian Users Searching NSFW Content in Al-Assisted PlatformsDesign in the Era of Industry 4.0, Volume 210.1007/978-981-99-0264-4_33(391-404)Online publication date: 30-Jul-2023
https://doi.org/10.1007/978-981-99-0264-4_33
Zheng Y(2022)Context-Aware Collaborative Filtering Using Context Similarity: An Empirical ComparisonInformation10.3390/info1301004213:1(42)Online publication date: 17-Jan-2022
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Casillo MGupta BLombardi MLorusso ASantaniello DValentino C(2022)Context Aware Recommender Systems: A Novel Approach Based on Matrix Factorization and Contextual BiasElectronics10.3390/electronics1107100311:7(1003)Online publication date: 24-Mar-2022
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Javadian Sabet AShekari MGuan CRossi MSchreiber FTanca L(2022)THOR: A Hybrid Recommender System for the Personalized Travel ExperienceBig Data and Cognitive Computing10.3390/bdcc60401316:4(131)Online publication date: 4-Nov-2022
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Lakehal AAlti ARoose P(2022)Novel Semantic-Based Probabilistic Context Aware Approach for Situations Enrichment and AdaptationApplied Sciences10.3390/app1202073212:2(732)Online publication date: 12-Jan-2022
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Rhee WCho SSuh B(2022)Countering Popularity Bias by Regularizing Score DifferencesProceedings of the 16th ACM Conference on Recommender Systems10.1145/3523227.3546757(145-155)Online publication date: 12-Sep-2022
https://dl.acm.org/doi/10.1145/3523227.3546757
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Putting things in context: Challenge on Context-Aware Movie Recommendation

3rd workshop on context-aware recommender systems (CARS 2011)

4th workshop on context-aware recommender systems (CARS 2012)

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