Computer Science ›› 2017, Vol. 44 ›› Issue (2): 267-269, 305.doi: 10.11896/j.issn.1002-137X.2017.02.044

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LDA-RR:A Recommendation Method Based on Ratings and Reviews

WANG Jian and HUANG Jia-jin   

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

Abstract: Recommender system is one of the effective ways to solve the problem of information overload.The collaborative filtering method is a typical method of recommender systems.The traditional collaborative filtering algorithm only takes rating information into account,while reviews contain more specific characteristic information about users and items.In this paper,we proposed an improved LDA algorithm which can combine ratings with review opinions of users.We assumed that each user has an implicit topic distribution,each topic has an implicit item distribution,and the distribution of words is determined by the topic and the item,then we used the potential topic distribution to mine user’s interests and make recommendations.The experiment shows that our algorithm can effectively improve the recommendation quality.

Key words: Recommendation system,Information overload,Collaborative filtering,Topic model

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