BM25 Pseudo Relevance Feedback Using Anserini at Waseda University.
Zhaohao ZengTetsuya SakaiPublished in: OSIRRC@SIGIR (2019)
Keyphrases
- pseudo relevance feedback
- document retrieval
- retrieval effectiveness
- query expansion
- language model
- retrieval model
- term frequency
- relevant documents
- ad hoc retrieval
- language modelling
- average precision
- retrieved documents
- information retrieval
- relevance feedback
- document collections
- automatic query expansion
- text retrieval
- relevance model
- ranking functions
- original query
- information retrieval systems
- language modeling
- e learning
- test collection
- document length
- query specific
- text categorization
- probabilistic model
- multimedia
- pseudo feedback
- interactive query expansion
- term weighting
- n gram
- image representation
- co occurrence
- information extraction
- web pages
- learning algorithm