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Web 2.0 Recommendation service by multi-collaborative filtering trust network algorithm
Chen Wei1; Simon Fong2; Richard Khoury3
Source PublicationInformation Systems Frontiers
ABS Journal Level3

Recommendation Services (RS) are an essential part of online marketing campaigns. They make it possible to automatically suggest advertisements and promotions that fit the interests of individual users. Social networking websites, and the Web 2.0 in general, offer a collaborative online platform where users socialize, interact and discuss topics of interest with each other. These websites have created an abundance of information about users and their interests. The computational challenge however is to analyze and filter this information in order to generate useful recommendations for each user. Collaborative Filtering (CF) is a recommendation service technique that collects information from a user's preferences and from trusted peer users in order to infer a new targeted suggestion. CF and its variants have been studied extensively in the literature on online recommending, marketing and advertising systems. However, most of the work done was based on Web 1.0, where all the information necessary for the computations is assumed to always be completely available. By contrast, in the distributed environment of Web 2.0, such as in current social networks, the required information may be either incomplete or scattered over different sources. In this paper, we propose the Multi-Collaborative Filtering Trust Network algorithm, an improved version of the CF algorithm designed to work on the Web 2.0 platform. Our simulation experiments show that the new algorithm yields a clear improvement in prediction accuracy compared to the original CF algorithm. 

KeywordRecommendation System Collaborative Filtering Social Network Web 2.0
URLView the original
Indexed BySCIE
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Theory & Methods
WOS IDWOS:000322901700003
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Cited Times [WOS]:19   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorChen Wei
Affiliation1.Lenovo China, No.6 ChuangYe Road, Haidian District, Beijing 100085, China
2.Faculty of Science and Technology, University of Macau, Av. Padre Tomás Pereira Taipa, Macau, S.A.R, China
3.Department of Software Engineering, Lakehead University, 955 Oliver Road, Thunder Bay, ON P7B 5E1, Canada
Recommended Citation
GB/T 7714
Chen Wei,Simon Fong,Richard Khoury. Web 2.0 Recommendation service by multi-collaborative filtering trust network algorithm[J]. Information Systems Frontiers,2012,15(4):533-551.
APA Chen Wei,Simon Fong,&Richard Khoury.(2012).Web 2.0 Recommendation service by multi-collaborative filtering trust network algorithm.Information Systems Frontiers,15(4),533-551.
MLA Chen Wei,et al."Web 2.0 Recommendation service by multi-collaborative filtering trust network algorithm".Information Systems Frontiers 15.4(2012):533-551.
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