Exploiting two-faceted web of trust for enhanced-quality recommendations

作者：

Highlights：

• A CF approach that establishes and exploits a two-faceted web of trust is proposed.

• The approach mitigates the data sparsity problem and the cold start problem.

• The approach captures the temporal nature of trust and interest.

• The approach meets the required adaptivity of the CF system.

• The experiment shows that the method usually outperforms other CF approaches.

摘要

•A CF approach that establishes and exploits a two-faceted web of trust is proposed.•The approach mitigates the data sparsity problem and the cold start problem.•The approach captures the temporal nature of trust and interest.•The approach meets the required adaptivity of the CF system.•The experiment shows that the method usually outperforms other CF approaches.

论文关键词：Collaborative filtering,Sparsity problem,Temporality and adaptivity,Two-faceted web of trust

论文评审过程：Available online 27 June 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.06.035