E-Commerce Personalized Recommendation

Yan Zhang

doi:10.4028/www.scientific.net/AMR.989-994.4996

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994E-Commerce Personalized Recommendation

E-Commerce Personalized Recommendation

Abstract:

With the rapid development of electronic commerce, the problem of "information overload" leads to the difficulty that user can't search the required goods effectively , personalized recommendation technology has been applied in e-commerce and popularization. By using the method of qualitative analysis of the current e-commerce site, the paper compare the information retrieval, association rule, content-based filtering and collaborative filtering four main recommendation technologies and analysis the advantages and disadvantages in the application layer, the recommendation technologies are introduced to review e-commerce research hot topic in the field of personalized recommendation, and analysis the current domestic e-commerce personalized recommendation theory research and application status, finally propose the challenges faced by e-commerce personalized recommendation domain.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

4996-4999

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.4996

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Online since:

July 2014

Authors:

Yan Zhang*

Keywords:

E-Commerce, Personalized System, Recommendation

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* - Corresponding Author

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