E-commerce Collaborative Recommendation System Based on Agent

【Abstract】The paper improves the traditional collaborative filtering method which needs artificial evaluation. The advanced method can gain evaluation value automatically through user transaction pattern and establish evaluation matrix. Aiming at problems of current personalized information recommendation systems, this paper applies Agent and designs collaborative filtering method to E-commerce personalized information recommendation, and designed E-commerce collaborative recommendation system based on Agent, namely, ECCRS, which is based on server. ECCRS considers time of page calling and novelty of page. It can supply recommendation service for unregister users and combined off-line processing, incremental updating and on-line recommendation. The experimental results indicate that the recommendation method of ECCRS is