The Application Design of Personalized Recommendation System Based on Data Mining to E-Commerce

Li Sun

doi:10.4028/www.scientific.net/AMR.989-994.4538

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994The Application Design of Personalized...

The Application Design of Personalized Recommendation System Based on Data Mining to E-Commerce

Abstract:

Personalized recommendation application system of product and service is a valid tool to boost sales in both online and offline business. It has been reported and has been our experience that algorithmic –modeling phase occupies at most 20% of the effort in a data–mining project. The other 80% is how to put the “model” into practical application. The implementation process of personalized recommendation system based on data mining to E-commerce was discussed in this paper. We also proposed architecture of the system, described the application of technology, designed some features of the function modules.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

4538-4541

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.4538

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Online since:

July 2014

Authors:

Li Sun*

Keywords:

Data Mining (DM), E-Commerce, Freakommendation, System Architecture

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* - Corresponding Author

References

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