poster

A probability-based trust prediction model using trust-message passing

Authors:

Hyun-Kyo Oh,

Jin-Woo Kim,

Sang-Wook Kim,

Kichun LeeAuthors Info & Claims

WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web

Pages 161 - 162

https://doi.org/10.1145/2487788.2487867

Published: 13 May 2013 Publication History

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Abstract

We propose a probability-based trust prediction model based on trust-message passing which takes advantage of the two kinds of information: an explicit information and an implicit information.

References

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P. Massa and P. Avesani. Controversial Users Demand Local Trust Metrics: an Experimental Study on Epinions.com Community. AAAI, pages 121--126, 2005.

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V.-A. Nguyen, E. P. Lim, J. Jiang, and A. Sun. To Trust or Not To Trust? Predicting Online Trusts using Trust Antecedent Framework. ICDM, pages 896--901, 2009.

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Cited By

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Singh AChatterjee K(2023)Trust management in online computing environment: a complete reviewJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-023-04676-915:1(491-545)Online publication date: 14-Sep-2023
https://doi.org/10.1007/s12652-023-04676-9
Shen PLiu SWang YHan L(2019)Unsupervised Negative Link Prediction in Signed Social NetworksMathematical Problems in Engineering10.1155/2019/73483012019:1Online publication date: 30-Apr-2019
https://doi.org/10.1155/2019/7348301
Huang LTan WSun Y(2019)Collaborative recommendation algorithm based on probabilistic matrix factorization in probabilistic latent semantic analysisMultimedia Tools and Applications10.1007/s11042-018-6232-x78:7(8711-8722)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1007/s11042-018-6232-x
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Index Terms

A probability-based trust prediction model using trust-message passing
1. Information systems
  1. Information systems applications
    1. Data mining

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Information & Contributors

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Published In

WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide Web

May 2013

1636 pages

ISBN:9781450320382

DOI:10.1145/2487788

General Chairs:
Daniel Schwabe
PUC-Rio - Brazil
,
Virgílio Almeida
UFMG - Brazil
,
Hartmut Glaser
CGI.br - Brazil
,
Program Chairs:
Ricardo Baeza-Yates
Yahoo! Labs - Spain & Chile
,
Sue Moon
KAIST - South Korea

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 May 2013

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Conference

WWW '13

Sponsor:

NICBR
CGIBR

WWW '13: 22nd International World Wide Web Conference

May 13 - 17, 2013

Rio de Janeiro, Brazil

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WWW '13 Companion Paper Acceptance Rate 831 of 1,250 submissions, 66%;

Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Cited By

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Singh AChatterjee K(2023)Trust management in online computing environment: a complete reviewJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-023-04676-915:1(491-545)Online publication date: 14-Sep-2023
https://doi.org/10.1007/s12652-023-04676-9
Shen PLiu SWang YHan L(2019)Unsupervised Negative Link Prediction in Signed Social NetworksMathematical Problems in Engineering10.1155/2019/73483012019:1Online publication date: 30-Apr-2019
https://doi.org/10.1155/2019/7348301
Huang LTan WSun Y(2019)Collaborative recommendation algorithm based on probabilistic matrix factorization in probabilistic latent semantic analysisMultimedia Tools and Applications10.1007/s11042-018-6232-x78:7(8711-8722)Online publication date: 1-Apr-2019
https://dl.acm.org/doi/10.1007/s11042-018-6232-x
Oh HKim JKim SLee K(2019)A unified framework of trust prediction based on message passingCluster Computing10.1007/s10586-018-1807-x22:1(2049-2061)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1007/s10586-018-1807-x
Xu CXu LLu YXu HZhu Z(2019)E-government recommendation algorithm based on probabilistic semantic cluster analysis in combination of improved collaborative filtering in big-data environment of government affairsPersonal and Ubiquitous Computing10.1007/s00779-019-01228-x23:3-4(475-485)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1007/s00779-019-01228-x
Zuo XLiu XYang B(2018)Coupled Low Rank Approximation for Collaborative Filtering in Social NetworksIEEE Access10.1109/ACCESS.2018.28064886(13326-13335)Online publication date: 2018
https://doi.org/10.1109/ACCESS.2018.2806488
Gong JGao XCheng HLiu JSong YZhang MZhao Y(2017)Integrating a weighted-average method into the random walk framework to generate individual friend recommendationsScience China Information Sciences10.1007/s11432-017-9243-760:11Online publication date: 13-Oct-2017
https://doi.org/10.1007/s11432-017-9243-7
Jang MKim SHa JKim JKim YGeller JChoi WLeung CPark Y(2016)Effectiveness of reverse edges and uncertainty in PIN-TRUST for trust predictionProceedings of the Sixth International Conference on Emerging Databases: Technologies, Applications, and Theory10.1145/3007818.3007827(81-85)Online publication date: 17-Oct-2016
https://dl.acm.org/doi/10.1145/3007818.3007827
Jang MFaloutsos CKim SKang UHa JMukhopadhyay SZhai CBertino ECrestani FMostafa JTang JSi LZhou XChang YLi YSondhi P(2016)PIN-TRUSTProceedings of the 25th ACM International on Conference on Information and Knowledge Management10.1145/2983323.2983753(629-638)Online publication date: 24-Oct-2016
https://dl.acm.org/doi/10.1145/2983323.2983753
Cai GWang LHe H(2015)Trust Prediction Based on Interactive Relations StrengthApplications and Techniques in Information Security10.1007/978-3-662-48683-2_17(189-200)Online publication date: 8-Nov-2015
https://doi.org/10.1007/978-3-662-48683-2_17
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