Google Inc.

Digital Equipment Corporation

Leland Stanford Junior University

Hewlett-Packard Development Company, L.p.

Compaq Information Technologies Group, L.p.

Alta Vista Company

Monika Hildegard Henzinger

Jeffrey Adgate Dean

Simon Tong

Paul Haahr

Karl Pfleger

Steve Lawrence

Alexander Mark Franz

Urs Hoelzle

Olcan Sercinoglu

Sergey Brin

Luis Gravano

Brian Christopher Milch

David Desjardins

Sanjay Ghemawat

Georges R Harik

Anurag Acharya

Lawrence E Page

Krishna Asur Bharat

Richard Lee Sites

Benedict A Gomes

Bay-Wei W Chang

William Edward Weihl

David Marwood

William Pugh

Shahid Choudhry

Michael Burrows

Christopher Richard Uhlik

John Ogden Lamping

Mehran Sahami

Aaron Lee

Andrei Z Broder

Amit Singhal

John Piscitello

Steve Okamoto

Marcin Kaszkiel

Peter C Chane

Matthew Vosburgh

Mark T Vandevoorde

Shun-Tak Albert Leung

Carl Alan Waldspurger

Behshad Behzadi

Marc Alexander Najork

Luiz Andre Barroso

Robert J Stets, Jr

Yaniv Bernstein

Zhe Qian

Matt Cutts

Michael David Mitzenmacher

Arash Baratloo

Benjamin Thomas Smith

Richard Tucker

Clark Allan Heydon

Deborah Anne Wallach

Keith H Randall

Benjamin Liebald

Martin Farach-Colton

Wilburt Labio

Lance M Berc

Ming-Yee Iu

Stefan Burkhardt

Matthias Ruhl

Suresh Venkatasubramanian

Puneet Kumar

A system limits search results based on context information. The system obtains the context information and a search query, and obtains a set of references to documents in response to the search query. The system then filters the set of references based on the context information and presents the filtered set of references to a user.

In-context searching

Improved duplicate and near-duplicate detection techniques may assign a number of fingerprints to a given document by (i) extracting parts from the document, (ii) assigning the extracted parts to one or more of a predetermined number of lists, and (iii) generating a fingerprint from each of the populated lists. Two documents may be considered to be near-duplicates if any one of their fingerprints match.

Detecting duplicate and near-duplicate files

A media stream, such as a news broadcast, is supplemented with documents that are relevant to the media stream. The documents may be web pages returned from a search engine. A search query generation component generates search queries for the search engine based on the media stream. A post processing component may re-rank and/or filter the documents to enhance the viewing experience for the user.

Finding web pages relevant to multimedia streams

An advertiser may be provided with fast and accurate estimates of the future cost and/or performance information for one or more actual or hypothetical ads (generally referred to as 'proto-ads'). Past auction information may be used to simulate auctions that the proto-ad would have competed in. The proto-ad may then participate in a 'replay' of such past auctions.

Estimating cost and/or performance information for an advertisement in an advertising system

A system may receive a voice search query and may determine word hypotheses for the voice query. Each word hypothesis may include one or more terms. The system may obtain a search query log and may determine, for each word hypothesis, a quantity of other search queries, in the search query log, that include the one or more terms. The system may determine weights based on the determined quantities. The system may generate, based on the weights, a first search query from the word hypotheses and may obtain a first set of search results. The system may modify, based on the first set of search results, one or more of the weights. The system may generate a second search query from the word hypotheses and obtain, based on the second search query, a second set of search results for the voice query.

Voice search engine interface for scoring search hypotheses

A system facilitates a search by a user. The system detects selection of one or more words in a document currently accessed by the user, generates a search query using the selected word(s), and retrieves a document based on the search query. When the document includes one or more links corresponding to a linked document, the system analyzes each of the links, prefetches the linked documents corresponding to a number of the links, and presents the document to the user. The system receives selection of one of the links and retrieves the linked document corresponding to the selected link. The system identifies one or more pieces of information in the retrieved document, determines a link to a related document for each of the identified pieces of information, and provides the determined links with the related document to the user.

Hypertext browser assistant

Systems and methods for improving search rankings using advertising data are disclosed. In one embodiment, a search engine implements a method comprising receiving a search query, identifying a plurality of articles relevant the search query, determining advertising data associated with the search query, and ranking the articles based at least in part on the advertising data.

Methods and systems for improving search rankings using advertising data

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

A method may include obtaining, based on a content of a search query, one or more documents in a first language; identifying one or more documents in a second language that contain an anchor that links to the one or more documents in the first language, the second language being different than the first language; and translating one or more terms of the search query into the second language using content included in the one or more documents in the second language.

Systems and methods for using anchor text as parallel corpora for cross-language information retrieval

Techniques are disclosed that locate implicitly defined semantic structures in a document, such as, for example, implicitly defined lists in an HTML document. The semantic structures can be used in the calculation of distance values between terms in the documents. The distance values may be used, for example, in the generation of ranking scores that indicate a relevance level of the document to a search query.

Document ranking based on semantic distance between terms in a document

A system may provide items during a time period and determine a quality of the items provided during the time period using a time series model.

Systems and methods for determining a quality of provided items

Growing community of inventors

Menlo Park, CA, United States of America

Monika Hildegard Henzinger