Recommendation Model Based on Blending Recommendation Technology

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.