Google Inc.

Dan Guez

Hyung-Jin Kim

Michael Herscovici

Yossi Matias

Lev Finkelstein

Tomer Shmiel

Yosi Markovich

Shaul Markovitch

Giora Unger

Dror Eiger

Itzhak Barokas

A computer-implemented method for processing query information includes receiving query information at a server system. The query information includes a portion of a query from a search requestor. The method also includes obtaining a set of predicted queries relevant to the portion of the search requestor query based upon the portion of the query from the search requestor and data indicative of search requestor behavior relative to previously submitted queries. The method also includes providing the set of predicted queries to the search requestor.

Autocompletion using previously submitted query data

Technology described herein enhances a user's search experience by providing refined search results that are relevant to a displayed document. Contextual search results are obtained which identify a list of documents responsive to a formulated query that is based on the user's search query, as well as one or more supplemental terms that are based on content in the displayed document during user entry of the search query. The contextual search results are then 'refined' by re-ranking the documents in the list, based on the similarity between the user's original search query and terms in these documents. This re-ranking enables contextual search results to be provided that are also highly relevant to the user's informational need.

Query formulation and search in the context of a displayed document

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Midkiff, TX, United States of America

Dan Guez