Google Inc.

Olcan Sercinoglu

Jeffrey Adgate Dean

Paul Haahr

Simon Tong

Karl Pfleger

Steve Lawrence

Monika Hildegard Henzinger

Sanjay Ghemawat

Benedict A Gomes

Gauthaum K Thambidorai

Amitabh Singhal

Gautham K Thambidorai

Artem Boytsov

Michael Burrows

Anurag Acharya

Urs Hoelzle

Matt Cutts

Monika Henzinger

Paul G Haahr

Amitabh K Singhal

A search engine server system receives from a client system a search query and identifies a set of documents in accordance with the search query. A content snippet corresponding to content in a respective document of the identified set of documents is generated, the content snippet associated with at least one query term of the one or more query terms in the search query. A response to the search query is returned to the client system, the response including information identifying at least the respective document and including the content snippet. Generating the content snippet includes performing a first decompression operation on first token identifiers, from a compressed document repository, to provide a set of second token identifiers, and performing a second decompression operation on the set of second token identifiers to recover uncompressed content comprising a portion of the respective document.

Generating content snippets using a tokenspace repository

A computer-implemented method includes calculating first statistics about a user-identified event within a first subset of a database of events; selecting a second subset of the database of events based on said first statistics; calculating second statistics about the user-identified event within the second subset of the database of events; merging the first and second statistics as statistics of the user-identified event within the entire database of events; and generating a result including at least a portion of the merged statistics of the user-identified event.

Systems and methods for generating statistics from search engine query logs

A multi-stage query processing system and method enables multi-stage query scoring, including 'snippet' generation, through incremental document reconstruction facilitated by a multi-tiered mapping scheme. At one or more stages of a multi-stage query processing system a set of relevancy scores are used to select a subset of documents for presentation as an ordered list to a user. The set of relevancy scores can be derived in part from one or more sets of relevancy scores determined in prior stages of the multi-stage query processing system. In some embodiments, the multi-stage query processing system is capable of executing one or more passes on a user query, and using information from each pass to expand the user query for use in a subsequent pass to improve the relevancy of documents in the ordered list.

Multi-stage query processing system and method for use with tokenspace repository

A system may determine an extent to which a document is selected when the document is included in a set of search results, generate a score for the document based, at least in part, on the extent to which the document is selected when the document is included in a set of search results; and rank the document with regard to at least one other document based, at least in part, on the score.

Document scoring based on query analysis

Document ranking based on document classification

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Mountain View, CA, United States of America

Olcan Sercinoglu