1
Dwayne E Bowman, Ruben E Ortega, Michael L Hamrick, Joel R Spiegel, Timothy R Kohn: Refining search queries by the suggestion of correlated terms from prior searches. Amazon Com, Knobbe Martens Olson & Bear, December 21, 1999: US06006225 (700 worldwide citation)

A search engine is disclosed which suggests related terms to the user to allow the user to refine a search. The related terms are generated using query term correlation data which reflects the frequencies with which specific terms have previously appeared within the same query. The correlation data ...


2
Dwayne E Bowman, Ruben E Ortega, Michael L Hamrick, Joel R Spiegel, Timothy R Kohn: System and method for refining search queries. Amazon com, Knobbe Martens Olson & Bear, January 2, 2001: US06169986 (321 worldwide citation)

A search engine is disclosed which suggests related terms to the user to allow the user to refine a search. The related terms are generated using query term correlation data which reflects the frequencies with which specific terms have previously appeared within the same query. The correlation data ...


3
Ruben Ernesto Ortega, Dwayne Edward Bowman, Michael L Hamrick, Joel R Spiegel, Timothy R Kohn: System and method for correcting spelling errors in search queries. Amazon com, Knobbe Martens Olson & Bear, November 7, 2000: US06144958 (136 worldwide citation)

A search engine is disclosed that uses correlations between search terms to correct misspelled terms within search queries. The correlations are based at least in-part on historical query submissions to the search engine. Preferably, the correlations reflect the frequencies with which the search ter ...


4
Ruben E Ortega, Dwayne E Bowman, Michael L Hamrick, Joel R Spiegel, Timothy R Kohn: Identifying related search terms based on search behaviors of users. A9 com, Knobbe Martens Olson & Bear, August 9, 2011: US07996398 (1 worldwide citation)

A system is disclosed that identifies related search terms by performing a term co-occurrence analysis of search query submissions of users. The system may give different amounts of weight to different search query submissions based, for example, on whether subsequent user actions reveal that partic ...


5
Ruben E Ortega, Dwayne E Bowman, Michael L Hamrick, Joel R Spiegel, Timothy R Kohn: Identifying related search terms based on search behaviors of users. Knobbe Martens Olson & Bear, February 10, 2011: US20110035370-A1

A system is disclosed that identifies related search terms by performing a term co-occurrence analysis of search query submissions of users. The system may give different amounts of weight to different search query submissions based, for example, on whether subsequent user actions reveal that partic ...



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