Explicit factor models for explainable recommendation based on phrase-level sentiment analysis
Explicit factor models for explainable recommendation based on phrase-level sentiment analysis
Yongfeng Zhang,Guokun Lai,3 Authors,Shaoping Ma
2014 · DOI: 10.1145/2600428.2609579
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · 838 Citations
TLDR
The Explicit Factor Model (EFM) is proposed to generate explainable recommendations, meanwhile keep a high prediction accuracy, and online experiments show that the detailed explanations make the recommendations and disrecommendations more influential on user's purchasing behavior.