Learning to Rank in Generative Retrieval.
Yongqi LiNan YangLiang WangFuru WeiWenjie LiPublished in: CoRR (2023)
Keyphrases
- learning to rank
- information retrieval
- document retrieval
- retrieval systems
- ranking functions
- query dependent
- test collection
- evaluation measures
- loss function
- information retrieval systems
- retrieval model
- evaluation metrics
- ranking svm
- text retrieval
- document collections
- direct optimization
- relevance judgments
- average precision
- retrieval effectiveness
- information retrieval and machine learning
- generative model
- collaborative filtering
- query expansion
- language model
- web search
- user feedback
- relevance feedback
- ranking algorithm
- multimedia retrieval
- data sets
- balancing exploration and exploitation
- machine learning
- learning to rank algorithms
- search engine
- feature extraction
- ad hoc retrieval
- support vector