Collaborative filtering fusion method based on rate credibility
Guan Wang · Jisuanji yingyong yanjiu · 2014
To overcome several limitations in the research of collaborative filtering( CF) fusion,this paper presented a CF recommendation fusion algorithm based on rate credibility. This method calculated trustworthy subset which rated times above the average rated times from both user-based and item-based recommendation set,calculated optimal λ on trustworthy subset repeatedly. The method used optimal λ to fuse user-based and item-based recommendation set. Experimental results show that this algorithm can effectively achieve higher recommendation accuracy and reliability and better recommendation results.