Research on Optimizing Recommend System for Agriculture Information Personalization based on User Clustering
Yan Zhao, Bai Shou-hua · 2012
In order to boost the development of agriculture informatization by improving the effective available information on Web. An hierachical users clustering algorithm is presented which is used to analy with agriculture web log, and is applied to recommend system for agriculture information personalization. The expectations are attaining users interests visiting pattern, and providing information personalization services for various user group. The experiment result verified the availability and feasibility by this method.