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A Recommender System Model Combining Trust with Topic Maps
Zhejiang University. (e-Service Research Center)
Dalarna University, School of Technology and Business Studies, Information Systems. (Information Systems)ORCID iD: 0000-0003-3681-8173
Zhejiang University. (e-Service Research Center)
Zhejiang University. (e-Service Research Center)
2013 (English)In: World Wide Web: Internet and Web Information Systems: APWeb 2013, 2013Conference paper, Published paper (Refereed)
Abstract [en]

Recommender Systems (RS) aim to suggest users with items that they might like based on users' opinion on items. In practice, information about the users' opinion on items is usually sparse compared to the vast information about users and items. Therefore it is hard to analyze and justify users' favorites, particularly those of cold start users. In this paper, we propose a trust model based on the user trust network, which is composed of the trust relationships among users. We also introduce the widely used conceptual model Topic Map, with which we try to classify items into topics for Recommender analysis. We novelly combine trust relations among users with Topic Maps to resolve the sparsity problem and cold start problem. The evaluation shows our model and method can achieve a good recommendation effect.

Place, publisher, year, edition, pages
2013.
Keyword [en]
Recommender Systems; Reputation; Topic Maps; Trust Model; Trust Propagation
National Category
Information Systems
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-12037DOI: 10.1007/978-3-642-37401-2_22ISBN: 978-364237400-5 (print)OAI: oai:DiVA.org:du-12037DiVA: diva2:611881
Conference
The 15th Asia-Pacific Web Conference (APWeb) 4-6 April, 2013, Sydney, Australia
Available from: 2013-03-19 Created: 2013-03-19 Last updated: 2016-08-29Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf