Computer Science ›› 2017, Vol. 44 ›› Issue (2): 88-92, 116.doi: 10.11896/j.issn.1002-137X.2017.02.011

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One-class Personalized Collaborative Ranking Algorithm Incorporating Social Network

LI Gai, CHEN Qiang, LI Lei and PAN Jin-cai   

  • Online:2018-11-13 Published:2018-11-13

Abstract: The research’s key idea of one-class personalized collaborative Ranking Algorithm is to make use of partial order of items.In the early research of these problems,the training data are only implicit feedback dataset,this limits the sorting accuracy.With the advent of online social networks,in order to improve the performance of one-class personalized collaborative ranking algorithm,we proposed a new one-class personalized collaborative ranking algorithm incorporating social network.We conducted our experiment on two large real-world datasets with social information.The experiment results illustrate that our approach achieves a better performance than several traditional OCCF methods.Experiments also show that the social network information plays an important role in improving the performance of one-class perso-nalized collaborative ranking algorithm.

Key words: Recommended systems,Collaborative ranking,Social network,One-class collaborative filtering,Implicit feedback dataset

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