Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection.
Shariq BashirAndreas RauberPublished in: CIKM (2009)
Keyphrases
- pseudo relevance feedback
- prior art
- relevant documents
- retrieved documents
- document retrieval
- patent documents
- query expansion
- retrieval effectiveness
- document ranking
- ad hoc retrieval
- trec collections
- query terms
- patent retrieval
- information retrieval systems
- language model
- expert search
- trec test collections
- term selection
- query specific
- relevance model
- original query
- pseudo feedback
- test collection
- information retrieval
- ad hoc information retrieval
- patent search
- document collections
- relevance feedback
- user queries
- retrieval model
- irrelevant documents
- term frequency
- keywords
- automatic query expansion
- average precision
- language modeling
- ranked list
- web documents
- structured documents
- retrieval systems
- active learning
- search engine