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

Guo Fang Kuang

doi:10.4028/www.scientific.net/AEF.6-7.636

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HomeAdvanced Engineering ForumAdvanced Engineering Forum Vols. 6-7The Development of E-Commerce Recommendation...

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

Abstract:

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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Periodical:

Advanced Engineering Forum (Volumes 6-7)

Pages:

636-640

DOI:

https://doi.org/10.4028/www.scientific.net/AEF.6-7.636

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Online since:

September 2012

Authors:

Guo Fang Kuang

Keywords:

Collaborative Filtering (CF), E-Commerce (EC), Recommendation System

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Creative Commons CC BY 4.0

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