Collaborative Filtering Recommendation Algorithm Based on Comprehensive Interest Measure

To address the low accuracy of identifying nearest neighbors and bad recommendation performance in traditional collaborative filtering algorithms,the concept of comprehensive interest measure which is a full description of user interest is proposed. Based on this,a novel collaborative filtering algorithm is introduced. Experimental results suggest that this algorithm can efficiently improve the accuracy of computing nearest neighbors and provid better recommendation results than traditional collaborative filtering algorithm.