E-Commerce Recommending Model Based on Trust Community

Xu Dong Zhao; Shao Zhong Zhang; Hai Dong Zhong; Shi Feng Weng

doi:10.4028/www.scientific.net/AMM.543-547.4251

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Design of Value Evaluation System Based on the Method of Clustering Analysis and Discriminant Analysis
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Discussion on the Usage of Computer-Assisted Method in Evaluation of Enterprise Financial Management
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Research on Undergraduate Financial Management Practice Teaching Mode Based on Computer Network Technology
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Research on Trust Cloud-Based Trust Evaluation Model for C2C Electronic Commerce
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E-Commerce Recommending Model Based on Trust Community
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Analysis of Land Economy Distribution and Driving Influences
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547E-Commerce Recommending Model Based on Trust...

E-Commerce Recommending Model Based on Trust Community

Abstract:

To responses to the current information "overload" problem widespread in e-commerce systems, a new approach, using the method of user clustering, node trust value analyzing and product evaluating is put forward to build an e-commerce trust community for e-commerce recommendation. According to some of the most trusted neighbors` evaluation information for goods, the recommendation model predicts the score of goods that the users have purchased, to recommend items which have a higher value score, to a customer. In the proposed recommending algorithm, the time effect of recommendation is taken into consideration to provide effective recommending services for users.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

4251-4257

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.4251

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Online since:

March 2014

Authors:

Xu Dong Zhao*, Shao Zhong Zhang, Hai Dong Zhong, Shi Feng Weng

Keywords:

E-Commerce, Recommending Model, Trust Community, Trust Recommendation

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* - Corresponding Author

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