Actively Learning to Rank Semantic Associations for Personalized Contextual Exploration of Knowledge Graphs.
Federico BianchiMatteo PalmonariMarco CremaschiElisabetta FersiniPublished in: ESWC (1) (2017)
Keyphrases
- learning to rank
- ranking functions
- loss function
- balancing exploration and exploitation
- evaluation measures
- semantic information
- direct optimization
- learning to rank algorithms
- active learning
- knowledge discovery
- information retrieval
- collaborative filtering
- query dependent
- directly optimize
- association rules
- contextual information
- document retrieval
- ranking svm
- e learning
- user profiles
- data mining techniques