Algorithms recommend research on personalized search engine
Lian Qi · Jisuanji yingyong yanjiu · 2010
The introduction of personalized into search engine caused the problems of a sparse,accuracy,scalability.In view of the above problem,this paper proposed a collaborative filtering recommendation algorithms based on the impact of SVD to recommend resources of potential interest to users,using matrix-related technologies and expanding its influence.The experiment shows that the algorithm can effectively solve the above problems,significantly improve the recommendation quality of the personalization system.