Recommendation Model Based on Blending Recommendation Technology
Huimin Wang · Jisuanji gongcheng · 2010
Aiming at the common problems including difficulties in product content analysis,low density in customer scores and new customer recommendation,existing in recommendation technologies today,this paper designs a blending recommendation technology which employs demography analysis technology based on cooperating filtering technology,and implements a recommendation model instance in a Web resource system.Experimental results indicate that this technology can solve the problems mentioned before,and efficiently improve recommendation quality comparing to the traditional technologies.