Learning to rank hotels for search and recommendation from session-based interaction logs and meta data.
Malte LudewigDietmar JannachPublished in: RecSys Challenge (2019)
Keyphrases
- learning to rank
- search sessions
- collaborative filtering
- user feedback
- information retrieval
- ranking functions
- query dependent
- information seeking
- web search
- metadata
- loss function
- ranking models
- user interaction
- evaluation measures
- query suggestion
- document retrieval
- supervised learning
- learning to rank algorithms
- user behavior
- ranking svm
- direct optimization
- recommender systems
- directly optimize
- relevance feedback
- active learning