Abstract
We present a computationally efficient method for automatic grouping of web search results based on reformulating the original query to alternative queries the user may have intended. The method requires no data other than query logs and the standard inverted indices used by most search engines. Our method outperforms standard web search in the task of enabling users to quickly find relevant documents for informational queries.
Cite
CITATION STYLE
Daumé, H., & Brill, E. (2004). Web search intent induction via automatic query reformulation. In HLT-NAACL 2004 - Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, Short Papers (pp. 49–52). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1613984.1613997
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
