Simplified Recommendation Algorithm Based on Content and Clustering in E-Commerce

Bing Xu; Yong Hai Yu

doi:10.4028/www.scientific.net/AMR.403-408.2498

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408Simplified Recommendation Algorithm Based on...

Simplified Recommendation Algorithm Based on Content and Clustering in E-Commerce

Abstract:

With the prosperity of e-commerce, more and more people willing to perform web shopping, the traditional recommendation algorithm makes the quality of system decreased dramatically in this situation. To solve this problem, we present a simplified recommendation algorithm that combines the content and clustering techniques to calculate the customer’s nearest neighbor. Experimental results show the efficiency of our algorithm.

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Periodical:

Advanced Materials Research (Volumes 403-408)

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2498-2501

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.2498

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Online since:

November 2011

Authors:

Bing Xu, Yong Hai Yu

Keywords:

Clustering, Content-Based, E-Commerce (EC), Recommendation, Simplification Algorithm

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