Computer Science ›› 2013, Vol. 40 ›› Issue (6): 276-278.

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Recommendation Research Based on Improved URP Model and K Nearest Neighbors

XIA Li-min,ZHAO Ye-dong,PENG Dong-liang and ZHANG Wei   

  • Online:2018-11-16 Published:2018-11-16

Abstract: The methods used to recommend products suffer from the problems such as cold starting and accurate.To address these problems,a new recommendation method based on improved URP model and K nearest neighbors was proposed.Users and items are modeled by improved URP model,and this model can solve the new user problem effectively.The rates predicted are optimized by K nearest neighbors to solve the new item problem.The experimental results show that the new method has good quality for recommendation.

Key words: URP model,K nearest neighbors,Proceed progress,Gibbs sampling

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