A New Personalized Recommendation Algorithm of Combining Content-based and Collaborative Filters
Liu Xue-qin · Computer and Modernization · 2013
Personalized recommendation service system is based on user history record and recommendation algorithm to provide personalized information or commodities for different users which they may be interested in.According to the problems exist in collaborative filtering recommendation algorithm and content-based recommendation algorithm respectively,this paper presents a recommendation algorithm called ASVD that alternately merge and optimized project-latent topic matrix which is from the process of using singular value decomposition algorithm to decompose the project-keywords matrix based on project content and user ratings users-project matrix to eliminate the noise to improve the accuracy of the recommendation.Experiments show that the new hybrid algorithm ASVD can significantly improve recommendation accuracy.