A Novel Relational Learning-to-Rank Approach for Topic-Focused Multi-document Summarization.
Yadong ZhuYanyan LanJiafeng GuoPan DuXueqi ChengPublished in: ICDM (2013)
Keyphrases
- learning to rank
- ranking functions
- loss function
- information retrieval
- evaluation measures
- document retrieval
- ranking svm
- direct optimization
- collaborative filtering
- manifold ranking
- test collection
- retrieval systems
- machine learning
- multi document summarization
- supervised learning
- learning to rank algorithms
- semantic web
- random walk
- balancing exploration and exploitation