Loc2Vec-Based Cluster-Level Transition Behavior Mining for Successive POI Recommendation.
Yan WenJiansong ZhangQingtian ZengXin ChenFeng ZhangPublished in: IEEE Access (2019)
Keyphrases
- user preferences
- collaborative recommendation
- levels of abstraction
- subspace clusters
- higher level
- data mining
- pattern mining
- knowledge discovery
- text mining
- state transitions
- frequent patterns
- sequential patterns
- web mining
- subspace clustering
- pattern discovery
- data mining methods
- road network
- data mining algorithms
- user profiles
- data mining techniques
- recommender systems