This paper quantifies the degree of user credit and adjusts it by specific items

and then gains accurate quantification on the credibility of ratings.In the case

the paper establishes the credibility matrix of ratings

and proposes four optimized similarity models based on credibility. The comparative experimental results

tested on different data sets

demonstrate that the newly proposed models have better performance in prediction accuracy of items at a reasonable cost in time

compared to traditional models.