Article

Improving collaborative filtering with trust-based metrics

Authors:

Jianshu Weng,

Chunyan Miao,

Angela GohAuthors Info & Claims

SAC '06: Proceedings of the 2006 ACM symposium on Applied computing

Pages 1860 - 1864

https://doi.org/10.1145/1141277.1141717

Published: 23 April 2006 Publication History

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Abstract

Despite its success, similarity-based collaborative filtering suffers from some significant limitations, such as scalability and sparsity. This paper introduces trust to the domain of collaborative filtering to overcome these limitations. Compared with the similarity-based CF, introduction of trust does improve the performance of CF in terms of coverage, prediction accuracy, and robustness in the presence of attacks. Experimental results based on a real dataset are illustrated as evidences to support our claim.

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Cited By

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Chawla S(2021)Web Page Recommender System using hybrid of Genetic Algorithm and Trust for Personalized Web SearchResearch Anthology on Multi-Industry Uses of Genetic Programming and Algorithms10.4018/978-1-7998-8048-6.ch034(656-675)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-8048-6.ch034
OKYAY SAYGÜN S(2020)İşbirlikçi Filtreleme için Pearson Korelasyonu Üzerine Statik ve Dinamik Önem Ağırlıklandırma Çarpanları ÇalışmasıEuropean Journal of Science and Technology10.31590/ejosat.822968Online publication date: 7-Nov-2020
https://doi.org/10.31590/ejosat.822968
Chawla S(2018)Web Page Recommender System using hybrid of Genetic Algorithm and Trust for Personalized Web SearchJournal of Information Technology Research10.4018/JITR.201804010711:2(110-127)Online publication date: 1-Apr-2018
https://dl.acm.org/doi/10.4018/JITR.2018040107
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Index Terms

Improving collaborative filtering with trust-based metrics
1. Information systems
  1. Information retrieval

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Information & Contributors

Information

Published In

SAC '06: Proceedings of the 2006 ACM symposium on Applied computing

April 2006

1967 pages

ISBN:1595931082

DOI:10.1145/1141277

Conference Chair:
Hisham M. Haddad
Kennesaw State University, Kennesaw, Georgia

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 April 2006

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SAC06

Sponsor:

SIGAPP

SAC06: The 2006 ACM Symposium on Applied Computing

April 23 - 27, 2006

Dijon, France

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

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Chawla S(2021)Web Page Recommender System using hybrid of Genetic Algorithm and Trust for Personalized Web SearchResearch Anthology on Multi-Industry Uses of Genetic Programming and Algorithms10.4018/978-1-7998-8048-6.ch034(656-675)Online publication date: 2021
https://doi.org/10.4018/978-1-7998-8048-6.ch034
OKYAY SAYGÜN S(2020)İşbirlikçi Filtreleme için Pearson Korelasyonu Üzerine Statik ve Dinamik Önem Ağırlıklandırma Çarpanları ÇalışmasıEuropean Journal of Science and Technology10.31590/ejosat.822968Online publication date: 7-Nov-2020
https://doi.org/10.31590/ejosat.822968
Chawla S(2018)Web Page Recommender System using hybrid of Genetic Algorithm and Trust for Personalized Web SearchJournal of Information Technology Research10.4018/JITR.201804010711:2(110-127)Online publication date: 1-Apr-2018
https://dl.acm.org/doi/10.4018/JITR.2018040107
Chawla S(2017)Intelligent Information Retrieval Using Hybrid of Fuzzy Set and TrustOriental journal of computer science and technology10.13005/ojcst/10.02.0910:2(311-325)Online publication date: 19-Apr-2017
https://doi.org/10.13005/ojcst/10.02.09
Yi HZhang F(2016)Robust recommendation method based on suspicious users measurement and multidimensional trustJournal of Intelligent Information Systems10.1007/s10844-015-0375-246:2(349-367)Online publication date: 1-Apr-2016
https://dl.acm.org/doi/10.1007/s10844-015-0375-2
Lai CLiu DLiu M(2015)Recommendations based on personalized tendency for different aspects of influences in social mediaJournal of Information Science10.1177/016555151560332441:6(814-829)Online publication date: 1-Dec-2015
https://dl.acm.org/doi/10.1177/0165551515603324
Faisal MAlsumait AAl-ameer Z(2014)Trust inference algorithms for social networksJournal of Engineering Research10.7603/s40632-014-0003-22:2Online publication date: 21-May-2014
https://doi.org/10.7603/s40632-014-0003-2
Bellogín ACastells PCantador I(2014)Neighbor Selection and Weighting in User-Based Collaborative FilteringACM Transactions on the Web10.1145/25799938:2(1-30)Online publication date: 1-Mar-2014
https://dl.acm.org/doi/10.1145/2579993
Karampiperis PKoukourikos AStoitsis G(2014)Collaborative Filtering Recommendation of Educational Content in Social Environments Utilizing Sentiment Analysis TechniquesRecommender Systems for Technology Enhanced Learning10.1007/978-1-4939-0530-0_1(3-23)Online publication date: 22-Mar-2014
https://doi.org/10.1007/978-1-4939-0530-0_1
Yan SZheng XChen DWang Y(2013)Exploiting two-faceted web of trust for enhanced-quality recommendationsExpert Systems with Applications: An International Journal10.1016/j.eswa.2013.06.03540:17(7080-7095)Online publication date: 1-Dec-2013
https://dl.acm.org/doi/10.1016/j.eswa.2013.06.035
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