Adapting ranking functions to user preference.
Keke ChenYa ZhangZhaohui ZhengHongyuan ZhaGordon SunPublished in: ICDE Workshops (2008)
Keyphrases
- ranking functions
- user preferences
- learning to rank
- document retrieval
- web search
- web search engines
- user behavior
- collaborative filtering
- user specific
- user profiles
- recommender systems
- ranking algorithm
- supervised learning
- preference models
- user feedback
- recommendation systems
- social influence
- directly optimize
- collaborative recommendation
- active sampling
- information retrieval
- preference model
- making recommendations
- preference learning
- ranking models
- pairwise
- similarity measure
- image processing
- search engine