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Recommending and evaluating choices in a virtual community of use

Authors:

Will Hill,

Larry Stead,

Mark Rosenstein, and

George FurnasAuthors Info & Claims

CHI '95: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

May 1995

Pages 194 - 201

https://doi.org/10.1145/223904.223929

Published: 01 May 1995 Publication History

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Dayang PMbouche Bomda U(2024)Integration and Recommendation System of Profiles based on Professional Social NetworksEAI Endorsed Transactions on Context-aware Systems and Applications10.4108/eetcasa.450010:1Online publication date: 15-Jan-2024
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Ashtari NChilana P(2024)How New Developers Approach Augmented Reality Development Using Simplified Creation Tools: An Observational StudyMultimodal Technologies and Interaction10.3390/mti80400358:4(35)Online publication date: 22-Apr-2024
https://doi.org/10.3390/mti8040035
Yu SWang HSu YNiu ZLi ZLiu JWang J(2024)Privacy-preserving recommendation system based on social relationshipsJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2024.10192336:2(101923)Online publication date: Feb-2024
https://doi.org/10.1016/j.jksuci.2024.101923
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Index Terms

Recommending and evaluating choices in a virtual community of use
1. Human-centered computing
2. Information systems
  1. World Wide Web
    1. Web applications
      1. Internet communications tools

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Published In

CHI '95: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

May 1995

598 pages

ISBN:0201847051

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ACM Press/Addison-Wesley Publishing Co.

United States

Publication History

Published: 01 May 1995

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CHI95

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SIGCHI

CHI95: Conference on Human Factor in Computing Systems

May 7 - 11, 1995

Colorado, Denver, USA

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Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Dayang PMbouche Bomda U(2024)Integration and Recommendation System of Profiles based on Professional Social NetworksEAI Endorsed Transactions on Context-aware Systems and Applications10.4108/eetcasa.450010:1Online publication date: 15-Jan-2024
https://doi.org/10.4108/eetcasa.4500
Ashtari NChilana P(2024)How New Developers Approach Augmented Reality Development Using Simplified Creation Tools: An Observational StudyMultimodal Technologies and Interaction10.3390/mti80400358:4(35)Online publication date: 22-Apr-2024
https://doi.org/10.3390/mti8040035
Yu SWang HSu YNiu ZLi ZLiu JWang J(2024)Privacy-preserving recommendation system based on social relationshipsJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2024.10192336:2(101923)Online publication date: Feb-2024
https://doi.org/10.1016/j.jksuci.2024.101923
Luo FRanzi GDong Z(2024)Occupant-to-grid integrationBuilding Energy Management Systems and Techniques10.1016/B978-0-323-96107-3.00009-6(295-311)Online publication date: 2024
https://doi.org/10.1016/B978-0-323-96107-3.00009-6
Ammar KInoubli WZghal SMephu Nguifo E(2024)Graph Representation Learning for Recommendation Systems: A Short ReviewAdvances in Information Systems, Artificial Intelligence and Knowledge Management10.1007/978-3-031-51664-1_3(33-48)Online publication date: 20-Jan-2024
https://doi.org/10.1007/978-3-031-51664-1_3
Chen J(2023)The Grey Correlation Algorithm is Used to Evaluate the Quality of Independent Innovation Talents Training in UniversitiesProceedings of the 2023 4th International Conference on Education, Knowledge and Information Management (ICEKIM 2023)10.2991/978-94-6463-172-2_8(51-58)Online publication date: 30-Jun-2023
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Véras DNascimento ACallou G(2023)Towards Recommender Systems Integrating Contextual Information from Multiple Domains through Tensor FactorizationArtificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications10.2174/9789815136746123010007(72-109)Online publication date: 14-Aug-2023
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UYANIK BORMAN G(2023)A Manhattan distance based hybrid recommendation systemInternational Journal of Applied Mathematics Electronics and Computers10.18100/ijamec.123209011:1(20-29)Online publication date: 31-Mar-2023
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T. R. MVinoth Kumar VLim S(2023)UsCoTc: Improved Collaborative Filtering (CFL) recommendation methodology using user confidence, time context with impact factors for performance enhancementPLOS ONE10.1371/journal.pone.028290418:3(e0282904)Online publication date: 15-Mar-2023
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Jain DJain AGonge SJoshi RKothari SKotecha K(2023)Movie Recommendation System and Data Analysis2023 International Conference on Computer, Electronics & Electrical Engineering & their Applications (IC2E3)10.1109/IC2E357697.2023.10262669(1-7)Online publication date: 8-Jun-2023
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