Adaptive sentiment-aware one-class collaborative filtering
作者：
Highlights：
• A sentiment-aware one-class collaborative filtering method is proposed.
• The method integrates user sentiment with ratings via fixed or learned mappings.
• The method compares favorably with other models on three large multimedia datasets.
• Improvements are consistent and independent from the negative class assumption.
摘要
•A sentiment-aware one-class collaborative filtering method is proposed.•The method integrates user sentiment with ratings via fixed or learned mappings.•The method compares favorably with other models on three large multimedia datasets.•Improvements are consistent and independent from the negative class assumption.
论文关键词：One-class collaborative filtering,Sentiment analysis,Multimedia recommendation
论文评审过程：Received 17 February 2015, Revised 19 August 2015, Accepted 20 August 2015, Available online 28 August 2015, Version of Record 20 October 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.08.035
