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A computational model for trust-based collaborative filtering: an empirical study of hotel recommendations
Högskolan Dalarna, Akademin Industri och samhälle, Informatik. (Information Systems)ORCID-id: 0000-0003-3681-8173
Högskolan Dalarna, Akademin Industri och samhälle, Informatik.
Zhejiang University. (e-Service Research Center)
2013 (engelsk)Inngår i: Web Information Systems Engineering - WISE 2013: 14th International Conference, Nanjing, China, October 13-15, 2013, Proceedings, Part II / [ed] Lin, X., Manolopoulos, Y., Srivastava, D., Huang, G., 2013, Vol. 8182, s. 266-279Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The inherent weakness of the data on user ratings collected from the web, such as sparsity and cold-start, has limited the data analysis capability and prediction accuracy. To alleviate this problem, trust is incorporated in the CF approaches with encouraging experimental results. In this paper, we propose a computational model for trust-based CF with a method to generate and propagate trust in a social network. We apply this method to measure trusts on users’ ratings of hotels and show its feasibility by comparing the testing results with the traditional CF methods, e.g. Mean Absolute Error.

sted, utgiver, år, opplag, sider
2013. Vol. 8182, s. 266-279
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; 8182
Emneord [en]
CF, Trust
HSV kategori
Forskningsprogram
Komplexa system - mikrodataanalys, Allmänt Mikrodataaanalys - metod
Identifikatorer
URN: urn:nbn:se:du-12033ISI: 000337296200022ISBN: 978-3-642-54370-8 (tryckt)ISBN: 978-3-642-54369-2 (tryckt)OAI: oai:DiVA.org:du-12033DiVA, id: diva2:611866
Konferanse
26th European Conference on Operational Research, Rome 1-4 July 2013
Prosjekter
Trust ComputationTilgjengelig fra: 2013-03-19 Laget: 2013-03-19 Sist oppdatert: 2018-01-11bibliografisk kontrollert

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Song, William Wei

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