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Trust- and Distrust-Based Recommendations for Controversial Reviews
- Source :
- WebSci'09 Proceedings
- Publication Year :
- 2011
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2011.
-
Abstract
- Recommender systems that incorporate a social trust network among their users have the potential to make more personalized recommendations compared to traditional collaborative filtering systems, provided they succeed in utilizing the additional trust and distrust information to their advantage. We compare the performance of several well-known trust-enhanced techniques for recommending controversial reviews from Epinions.com, and provide the first experimental study of using distrust in the recommendation process.
- Subjects :
- recommender system
Technology and Engineering
Distrust
Computer Networks and Communications
Computer science
media_common.quotation_subject
Intelligent decision support system
Recommender system
Trust network
computer.software_genre
World Wide Web
Prediction algorithms
Artificial Intelligence
trust network
distrust
InformationSystems_MISCELLANEOUS
Web service
computer
media_common
Subjects
Details
- ISSN :
- 15411672
- Volume :
- 26
- Database :
- OpenAIRE
- Journal :
- IEEE Intelligent Systems
- Accession number :
- edsair.doi.dedup.....f8179c42bc21d8237aed51973ab8b08e