The Development of E-Commerce Recommendation System Based on Collaborative Filtering

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The recommendation system in the e-commerce is to provide customers with product information and recommendations to help customers decide what to buy goods and analog sales staff to recommend merchandise to complete the purchase process. Collaborative filtering process is based on known user evaluation to predict the target user interest in the target, and then recommended to the target user. This paper proposes the development of E-commerce recommendation system based on Collaborative filtering. Experimental data sets prove that the proposed algorithm is effective and reasonable.

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Edited by:

Wei Deng and Qi Luo

Pages:

636-640

Citation:

G. F. Kuang, "The Development of E-Commerce Recommendation System Based on Collaborative Filtering", Advanced Engineering Forum, Vols. 6-7, pp. 636-640, 2012

Online since:

September 2012

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