Listwise Generative Retrieval Models via a Sequential Learning Process.
Yubao TangRuqing ZhangJiafeng GuoMaarten de RijkeWei ChenXueqi ChengPublished in: ACM Trans. Inf. Syst. (2024)
Keyphrases
- retrieval model
- learning to rank
- document retrieval
- learning process
- test collection
- information retrieval
- ranking functions
- pairwise
- loss function
- retrieval systems
- language model
- retrieval effectiveness
- language modeling
- information retrieval systems
- text retrieval
- ranking algorithm
- language modeling framework
- generative model
- relevance feedback
- vector space model
- active learning
- vector space
- tf idf
- balancing exploration and exploitation
- query expansion
- query dependent
- reinforcement learning
- retrieval functions
- learning environment
- retrieval process
- query terms
- user queries
- document collections
- e learning
- learning algorithm
- evaluation measures
- learning to rank algorithms
- relevant documents
- databases
- relevance judgments
- multimedia
- average precision
- missing data
- support vector
- dimensionality reduction
- probabilistic model