Sentiment based matrix factorization with reliability for recommendation

作者：

Highlights：

• We incorporate sentiment analysis and user reliability into recommendation.

• The user reliability adjusts the weights of rating and sentiment information.

• Our algorithm outperforms the state-of-the-art algorithms on eight Amazon datasets.

摘要

•We incorporate sentiment analysis and user reliability into recommendation.•The user reliability adjusts the weights of rating and sentiment information.•Our algorithm outperforms the state-of-the-art algorithms on eight Amazon datasets.

论文关键词：Collaborative filtering,Matrix factorization,Recommender system,Sentiment analysis

论文评审过程：Received 19 December 2018, Revised 26 April 2019, Accepted 1 June 2019, Available online 3 June 2019, Version of Record 14 June 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.06.001