Exploiting Multiple Features for Learning to Rank in Expert Finding.
Hai-Tao ZhengQi LiYong JiangShu-Tao XiaLan-Shan ZhangPublished in: ADMA (2) (2013)
Keyphrases
- learning to rank
- multiple features
- expert finding
- information retrieval
- ranking functions
- language modeling
- loss function
- web mining
- data fusion
- information management
- feature set
- expert search
- document retrieval
- relevance feedback
- feature space
- image retrieval
- topic modeling
- collaborative filtering
- low level features
- feature vectors
- retrieval systems
- metric learning
- retrieval model
- test collection
- supervised learning
- natural language processing
- multi class
- web search
- information extraction
- language model
- topic models
- class labels