Personalized service technology has become the research focus of digital library. This paper proposes a multi-objective evolutionary biclustering technique to carry out clustering of rows and columns at the same time, and the algorithm is able to group similarities between users and items. In order to evaluate the proposed methodology, the paper applied it to MovieLcns dataset which contains user＇s ratings to a large set of movies. The results indicate that the proposal is able to provide useful recommendations for the users,...
