Computer Science ›› 2014, Vol. 41 ›› Issue (Z11): 320-322.

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Collaborative Recommendation Algorithm Combining User’s Judging Power and Similarity

ZHANG Li and XUE Yu-qing   

  • Online:2018-11-14 Published:2018-11-14

Abstract: As an effective way to solve information overload,collaborative filtering(CF) technology has been successfully used in recommendation system.To improve the performance of CF algorithm,first,this paper evaluated user’s judging power based on historical scoring.Then combining user’s judging power and similarity,an improved collaborative recommendation algorithm was proposed.Experimental results show that judging power has positive correlation with recommendation abilities of users,which also verify that judging power extracts the depth information from historical scoring and factors influencing a user on adopting recommendation results.So it can characterize the similarity between users better and improve the accuracy of a recommendation algorithm.

Key words: Collaborative filtering,User’s judging power,Similarity,Recommendation system

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