A Book Recommendation Method Considered Readers and Literatures for University Literature Service

Xiao CHEN

Abstract


Because of the varieties of reader selection and literature categories, the rating matrix is often sparse and diffused excessively, that leads an inefficiency book recommendation. Aiming that, considered the implicit relation between reader group and literature classes, a collaborative cluster recommendation method has been constructed, the balance factor  is defined, which is used to coordinate the weight of reader group and literature classes. Finally, through the test and validity evaluation, the cluster method mentioned in the paper can get a more productive recommendation than traditional reader cluster method.

Keywords


Data mining, Collaborative Filtering, Recommendation, Cluster


DOI
10.12783/dtssehs/icesd2017/11666

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