PURS: Personalized Unexpected Recommender System for Improving User Satisfaction.
Pan LiMaofei QueZhichao JiangYao HuAlexander TuzhilinPublished in: RecSys (2020)
Keyphrases
- user satisfaction
- recommender systems
- information filtering
- user profiles
- user modeling
- information systems
- personalized recommendation
- user model
- service quality
- collaborative filtering
- product recommendation
- customer satisfaction
- perceived quality
- user perceptions
- user interests
- structural equation modeling
- perceived usefulness
- user preferences
- e learning
- kolmogorov smirnov
- databases
- quality attributes
- information quality
- personalized search
- social networks