A Hybrid Recommendation Method Based on Features
WANG Sheng
WEN Weidong
Abstract：This paper proposes a hybrid method based on features of movies in terms of user interests.In this paper, topics of the movie can be captured by LDA model with the documents of movie plots.Accommodating with all the above mentioned features, user profile which presents user interests can be created by the rated movies.Finally, the predict rating for user to the new movies depends on the user similarity calculated by the user profile and the affinity of the user and the movie.Experiments based on the MovieLens-1m dataset show that the proposed method is better than the existing collaborative filtering method.
Keywords：hybrid recommendationuser profileuser similarity
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 261-265,331 )