GeoTeCS: Exploiting Geographical, Temporal, Categorical and Social Aspects for Personalized POI Recommendation (Invited Paper).
Ramesh BaralDingding WangTao LiShu-Ching ChenPublished in: IRI (2016)
Keyphrases
- invited paper
- social aspects
- user preferences
- personalized recommendation
- collaborative learning
- e learning
- recommender systems
- collaborative filtering
- information systems
- user profiles
- virtual communities
- computer science
- databases
- intelligent systems
- information infrastructure
- user feedback
- data management
- machine learning