Title: A Collaborative Filtering Recommendation Algorithm Based on User's Preference Order
Abstract: Collaborative filtering is the most successful technology for building recommendation systems.Unfortunately,this method does not reflect user′s interests with the number of users and items.So this paper describes a new algorithm for collaborative filtering;the nearest neighbors of target user can be found based on the similarity of the user′s preference order and produce recommendation.It can be used to solve the problem on severe dependence of traditional collaborative filtering on user's rank rating,which does not reflect user′s interests.This algorithm may effectively improve the traditional collaborative filtering algorithms used to find the target user′s neighbors.Experiment results show that the new algorithm performs well in personalized recommendation system.
Publication Year: 2009
Publication Date: 2009-01-01
Language: en
Type: article
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