PURS: Personalized Unexpected Recommender System for Improving User Satisfaction.
Pan LiMaofei QueZhichao JiangYao HuAlexander TuzhilinPublished in: CoRR (2021)
Keyphrases
- user satisfaction
- recommender systems
- user profiles
- information filtering
- information systems
- user modeling
- personalized recommendation
- collaborative filtering
- service quality
- user model
- perceived quality
- customer satisfaction
- product recommendation
- information quality
- user perceptions
- perceived usefulness
- personalized search
- quality attributes
- user interests
- user preferences
- user engagement
- e learning
- search experience
- structural equation modeling
- electronic commerce
- kolmogorov smirnov