Learning to Rank Target Types for Entity-Bearing Queries.
Darío GarigliottiKrisztian BalogPublished in: LEARNER@ICTIR (2017)
Keyphrases
- learning to rank
- relevance judgments
- ranking functions
- retrieval systems
- information retrieval
- query dependent
- query suggestion
- ranking models
- loss function
- query processing
- web search engines
- ranking svm
- collaborative filtering
- document retrieval
- direct optimization
- user queries
- evaluation measures
- test collection
- evaluation metrics
- named entities
- query logs
- learning to rank algorithms
- normalized discounted cumulative gain
- retrieval effectiveness
- precision and recall
- data sources
- information retrieval systems
- data sets
- active learning
- pairwise
- entity ranking
- feature extraction
- decision trees
- search engine