PERS: A Personalized and Explainable POI Recommender System.
Ramesh BaralTao LiPublished in: CoRR (2017)
Keyphrases
- recommender systems
- user preferences
- personalized recommendation
- collaborative recommendation
- user profiles
- information filtering
- user modeling
- collaborative filtering
- product recommendation
- user model
- user specific
- web personalization
- personalized search
- personal preferences
- user profiling
- matrix factorization
- user interests
- user behavior
- personalized services
- recommendation systems
- user feedback
- individual user
- implicit feedback
- personalized information
- e learning
- user oriented
- information overload
- data sets
- trust aware
- cold start problem
- user generated
- movie recommendation
- spreading activation
- recommendation algorithms
- cold start
- user context
- user generated content
- location based services
- recommendation quality
- providing personalized