Systems and methods that employ a distributional analysis on a query log to improve search results

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United States of America Patent

PATENT NO 7617202
APP PUB NO 20040254920A1
SERIAL NO

10462473

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Abstract

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The present invention provides systems and methods that employ a statistical distributional analysis to improve content search engine search results. In particular, a substring and/or a string sequence distributional algorithm can be applied to a set of queries to generate a distributional characteristic (e.g., a profile) for the set of queries, wherein the set is selected from a plurality of queries stored on a query log. Typically, the queries are selected based on a substring of interest and/or an identification of a user initiating searches. The distributional characteristic can then be employed to determine a distributional similarity measure that can be utilized in connection with a search to facilitate search results via providing a mechanism to determine synonymous search terms, spelling corrections/variations, and facilitate collaborative filtering, for example. Thus, the present invention employs a novel technique that mines and employs previous queries to enhance the query search results.

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Patent Owner(s)

Patent OwnerAddress
MICROSOFT TECHNOLOGY LICENSING LLCONE MICROSOFT WAY REDMOND WA 98052

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Brill, Eric D Redmond , US 59 4267
Carmichael, Philip F Woodinville , US 3 200

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