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Predicting trusts among users of online communities: an epinions case study

Authors:

Jaideep Srivastava,

Young Ae KimAuthors Info & Claims

EC '08: Proceedings of the 9th ACM conference on Electronic commerce

Pages 310 - 319

https://doi.org/10.1145/1386790.1386838

Published: 08 July 2008 Publication History

Abstract

Trust between a pair of users is an important piece of information for users in an online community (such as electronic commerce websites and product review websites) where users may rely on trust information to make decisions. In this paper, we address the problem of predicting whether a user trusts another user. Most prior work infers unknown trust ratings from known trust ratings. The effectiveness of this approach depends on the connectivity of the known web of trust and can be quite poor when the connectivity is very sparse which is often the case in an online community. In this paper, we therefore propose a classification approach to address the trust prediction problem. We develop a taxonomy to obtain an extensive set of relevant features derived from user attributes and user interactions in an online community. As a test case, we apply the approach to data collected from Epinions, a large product review community that supports various types of interactions as well as a web of trust that can be used for training and evaluation. Empirical results show that the trust among users can be effectively predicted using pre-trained classifiers.

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Cited By

Li ZJiang FZhong WYan C(2025)Social Network-Based Folk Culture Propagation in the Digital Age: Analyzing Dissemination Mechanisms and Influential FactorsTsinghua Science and Technology10.26599/TST.2024.901004930:2(894-907)Online publication date: Apr-2025
https://doi.org/10.26599/TST.2024.9010049
Rahul Araddy DVenkatesh (2024)Trust-Object Identification: Approach Towards Trustworthy Objects Identification in S-IoT2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS)10.1109/ICKECS61492.2024.10616460(1-8)Online publication date: 18-Apr-2024
https://doi.org/10.1109/ICKECS61492.2024.10616460
Sagar SMahmood AWang KSheng QPabani JZhang W(2023) Trust–SIoT : Toward Trustworthy Object Classification in the Social Internet of Things IEEE Transactions on Network and Service Management10.1109/TNSM.2023.324783120:2(1210-1223)Online publication date: Jun-2023
https://doi.org/10.1109/TNSM.2023.3247831
Show More Cited By

Index Terms

Predicting trusts among users of online communities: an epinions case study
1. Information systems
  1. Information systems applications
    1. Data mining
  2. World Wide Web
    1. Web applications
    2. Web services

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Published In

cover image ACM Conferences

EC '08: Proceedings of the 9th ACM conference on Electronic commerce

July 2008

332 pages

ISBN:9781605581699

DOI:10.1145/1386790

General Chair:
Lance Fortnow
Northwestern University, USA
,
Program Chairs:
John Riedl
University of Minnesota, USA
,
Tuomas Sandholm
Carnegie-Mellon University, USA

Copyright © 2008 ACM.

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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Publication History

Published: 08 July 2008

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EC '08

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EC '08: ACM Conference on Electronic Commerce

July 8 - 12, 2008

Il, Chicago, USA

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Overall Acceptance Rate 664 of 2,389 submissions, 28%

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EC '25

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The 25th ACM Conference on Economics and Computation

July 7 - 11, 2025

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Cited By

Li ZJiang FZhong WYan C(2025)Social Network-Based Folk Culture Propagation in the Digital Age: Analyzing Dissemination Mechanisms and Influential FactorsTsinghua Science and Technology10.26599/TST.2024.901004930:2(894-907)Online publication date: Apr-2025
https://doi.org/10.26599/TST.2024.9010049
Rahul Araddy DVenkatesh (2024)Trust-Object Identification: Approach Towards Trustworthy Objects Identification in S-IoT2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS)10.1109/ICKECS61492.2024.10616460(1-8)Online publication date: 18-Apr-2024
https://doi.org/10.1109/ICKECS61492.2024.10616460
Sagar SMahmood AWang KSheng QPabani JZhang W(2023) Trust–SIoT : Toward Trustworthy Object Classification in the Social Internet of Things IEEE Transactions on Network and Service Management10.1109/TNSM.2023.324783120:2(1210-1223)Online publication date: Jun-2023
https://doi.org/10.1109/TNSM.2023.3247831
Vikash Vijay Kumar T(2023)Trust assessment in social networksInternational Journal of System Assurance Engineering and Management10.1007/s13198-023-02118-515:5(1650-1666)Online publication date: 3-Oct-2023
https://doi.org/10.1007/s13198-023-02118-5
Liu HXue SYang JWu J(2023)Enhancing Trust Prediction in Attributed Social Networks with Self-Supervised LearningWeb Information Systems Engineering – WISE 202310.1007/978-981-99-7254-8_13(160-175)Online publication date: 21-Oct-2023
https://doi.org/10.1007/978-981-99-7254-8_13
Sarna GBhatia M(2022)Structure-Based Analysis of Different Categories of Cyberbullying in Dynamic Social NetworkResearch Anthology on Combating Cyber-Aggression and Online Negativity10.4018/978-1-6684-5594-4.ch013(211-230)Online publication date: 4-Mar-2022
https://doi.org/10.4018/978-1-6684-5594-4.ch013
Liu YWang B(2022)User Trust Inference in Online Social Networks: A Message Passing PerspectiveApplied Sciences10.3390/app1210518612:10(5186)Online publication date: 20-May-2022
https://doi.org/10.3390/app12105186
Xu RLiu GHua XYe SZhang XLu J(2022)Attention-aware Multi-hop Trust Inference in Online Social Networks2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)10.1109/DSAA54385.2022.10032362(1-10)Online publication date: 13-Oct-2022
https://doi.org/10.1109/DSAA54385.2022.10032362
Zhang SZheng NWang D(2022)A Novel Attention-based Global and Local Information Fusion Neural Network for Group RecommendationMachine Intelligence Research10.1007/s11633-022-1336-119:4(331-346)Online publication date: 17-Jun-2022
https://doi.org/10.1007/s11633-022-1336-1
Ting HKang XLi TWang HChu C(2021)On the Trust and Trust Modeling for the Future Fully-Connected Digital World: A Comprehensive StudyIEEE Access10.1109/ACCESS.2021.31007679(106743-106783)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3100767
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