Research of the Collaborative Filtering Algorithm for E-Commerce

Abstract:

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In this paper we mainly discuss the Collaborative Filtering algorithm which is widely applied in E-commerce. This article presents the idea of Collaborative Filtering algorithm and its main step. It analyzes the problem of cold start and data sparsity which affect the accuracy of prediction and results, as well as an idea of improvement Collaborative Filtering algorithm.

Info:

Periodical:

Advanced Materials Research (Volumes 121-122)

Edited by:

Donald C. Wunsch II, Honghua Tan, Dehuai Zeng, Qi Luo

Pages:

717-721

DOI:

10.4028/www.scientific.net/AMR.121-122.717

Citation:

Y. Luo "Research of the Collaborative Filtering Algorithm for E-Commerce", Advanced Materials Research, Vols. 121-122, pp. 717-721, 2010

Online since:

June 2010

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Price:

$35.00

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