Content-based filtering for recommendation systems using multiattribute networks

作者：

Highlights：

• We propose a content-based filtering algorithm based on a multiattribute network.

• Network analysis can consider similarities among indirectly-connected items.

• The proposed method addresses the data sparsity and over-specialization problems.

• The experiment with “MovieLens” demonstrates the robustness of the proposed method.

摘要

•We propose a content-based filtering algorithm based on a multiattribute network.•Network analysis can consider similarities among indirectly-connected items.•The proposed method addresses the data sparsity and over-specialization problems.•The experiment with “MovieLens” demonstrates the robustness of the proposed method.

论文关键词：Content-based filtering,Recommender system,Movie recommendation,Network analysis

论文评审过程：Received 21 April 2017, Revised 1 August 2017, Accepted 2 August 2017, Available online 3 August 2017, Version of Record 8 August 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.08.008