Query identification and normalization for web search

Data processing: database and file management or data structures – Database and file access – Query optimization

Reexamination Certificate

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Reexamination Certificate

active

07974971

ABSTRACT:
A computer-implemented method for processing user entered query data to improve results of a search of pages using a local search database, when searching the internet, is disclosed. The method includes receiving the user entered query data and parsing each word of the query data and segmenting words using a probabilistic dictionary to determine a likelihood that the word is for a particular name. And, associating the particular names with a name tag to create one or more tagged name terms. Then, normalizing each of the tagged name terms and the normalizing including boosting information if found in the local search database and determining proximity between selected ones of the tagged name terms. The method then generates an optimized search query that incorporates normalized terms and operators. The optimized search query being applied to the internet to enable search results to be produced and displayed to the user in response to the entered query data.

REFERENCES:
patent: 7571177 (2009-08-01), Damle
Peng et al, “Context Sensitive Stemming for Web Search”, 2007, ACM, 8 pages.
Hidetsugu Nanba, “Query Expansion using an Automatically Constructed Thesaurus”, 2007, Hiroshima City University, p. 414-419.
Ali Shiri “Query Expansion Behavior within a Thesaurus Enhanced Search Environment: A User Centered Evaluation”,2006, Wiley InterScience, 17 pages.

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