LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback.
Yunchang ZhuLiang PangYanyan LanHuawei ShenXueqi ChengPublished in: SIGIR (2022)
Keyphrases
- query reformulation
- pseudo relevance feedback
- query expansion
- retrieval effectiveness
- retrieval systems
- document retrieval
- average precision
- language model
- query formulation
- relevance feedback
- relevant documents
- information retrieval systems
- test collection
- anchor text
- query terms
- information extraction
- search sessions
- semantic relationships
- information retrieval
- user feedback
- retrieval model
- image classification
- text categorization
- image representation