Source: http://www.google.com/patents/US8185523?dq=mirroring+data+in+a+remote+data+storage+system
Timestamp: 2013-12-10 01:42:32
Document Index: 270955252

Matched Legal Cases: ['Application No. 200680013556', 'Application No. 2007', 'Application No. 2008', 'Application No. 2006800172703', 'Application No. 095109496', 'Application No. 06738810']

Patent US8185523 - Search engine that applies feedback from users to improve search results - Google PatentsSearch Images Maps Play YouTube News Gmail Drive More »Advanced Patent Search | Sign inAdvanced Patent SearchPatentsThe present invention is directed to methods of and systems for ranking results returned by a search engine. A method in accordance with the invention comprises determining a formula having variables and parameters, wherein the formula is for computing a relevance score for a document and a search query,...http://www.google.com/patents/US8185523?utm_source=gb-gplus-sharePatent US8185523 - Search engine that applies feedback from users to improve search resultsPublication numberUS8185523 B2Publication typeGrantApplication numberUS 11/378,756Publication dateMay 22, 2012Filing dateMar 17, 2006Priority dateMar 18, 2005Also published asCA2601768A1, CN101523338A, EP1866738A2, EP1866738A4, US20070106659, WO2006102122A2, WO2006102122A3Publication number11378756, 378756, US 8185523 B2, US 8185523B2, US-B2-8185523, US8185523 B2, US8185523B2InventorsYunshan Lu, Gordon P. Rios, Michael TanneOriginal AssigneeSearch Engine Technologies, LlcExport CitationBiBTeX, EndNote, RefManPatent Citations (37), Non-Patent Citations (23), Referenced by (2), Classifications (13), Legal Events (5) External Links: USPTO, USPTO Assignment, EspacenetSearch engine that applies feedback from users to improve search resultsUS 8185523 B2Abstract The present invention is directed to methods of and systems for ranking results returned by a search engine. A method in accordance with the invention comprises determining a formula having variables and parameters, wherein the formula is for computing a relevance score for a document and a search query, and ranking the document based on the relevance score. Preferably, determining the formula comprises tuning the parameters based on user input. Preferably, the parameters are determined using a machine learning technique, such as one that includes a form of statistical classification.
Patent CitationsCited PatentFiling datePublication dateApplicantTitleUS6029195Dec 5, 1997Feb 22, 2000Herz; Frederick S. M.System for customized electronic identification of desirable objectsUS6256622Apr 21, 1998Jul 3, 2001Apple Computer, Inc.Logical division of files into multiple articles for search and retrievalUS6324566Jul 16, 1998Nov 27, 2001International Business Machines CorporationInternet advertising via bookmark set based on client specific informationUS6327590 *May 5, 1999Dec 4, 2001Xerox CorporationSystem and method for collaborative ranking of search results employing user and group profiles derived from document collection content analysisUS6360215Nov 3, 1998Mar 19, 2002Inktomi CorporationMethod and apparatus for retrieving documents based on information other than document contentUS6601075Jul 27, 2000Jul 29, 2003International Business Machines CorporationSystem and method of ranking and retrieving documents based on authority scores of schemas and documentsUS6718365Apr 13, 2000Apr 6, 2004International Business Machines CorporationMethod, system, and program for ordering search results using an importance weightingUS6775664Oct 22, 2001Aug 10, 2004Lycos, Inc.Information filter system and method for integrated content-based and collaborative/adaptive feedback queriesUS6823491Aug 31, 2000Nov 23, 2004International Business Machines CorporationSystem and method for a dynamically integrated search engineUS7188117Sep 3, 2002Mar 6, 2007Xerox CorporationSystems and methods for authoritativeness grading, estimation and sorting of documents in large heterogeneous document collectionsUS7283997 *May 14, 2003Oct 16, 2007Apple Inc.System and method for ranking the relevance of documents retrieved by a queryUS7395259Jul 30, 2004Jul 1, 2008A9.Com, Inc.Search engine system and associated content analysis methods for locating web pages with product offeringsUS7890501Mar 30, 2010Feb 15, 2011Facebook, Inc.Visual tags for search results generated from social network informationUS20020120609Oct 22, 2001Aug 29, 2002Lang Andrew K.Collaborative/adaptive search engineUS20020129014Jan 10, 2001Sep 12, 2002Kim Brian S.Systems and methods of retrieving relevant informationUS20020165856Mar 12, 2002Nov 7, 2002Gilfillan Lynne E.Collaborative research systemsUS20030041054 *Aug 27, 2001Feb 27, 2003Jianchang MaoMethod and apparatus for merging result lists from multiple search enginesUS20030212663May 8, 2002Nov 13, 2003Doug LenoNeural network feedback for enhancing text searchUS20040024755 *Mar 14, 2003Feb 5, 2004Rickard John TerrellSystem and method for indexing non-textual dataUS20040030697Jul 31, 2002Feb 12, 2004American Management Systems, Inc.System and method for online feedbackUS20040068486 *Oct 2, 2002Apr 8, 2004Xerox CorporationSystem and method for improving answer relevance in meta-search enginesUS20040117354Dec 16, 2002Jun 17, 2004Azzaro Steven HectorProcess for tagging and measuring qualityUS20050033771Apr 30, 2004Feb 10, 2005Schmitter Thomas A.Contextual advertising systemUS20050071328 *Sep 30, 2003Mar 31, 2005Lawrence Stephen R.Personalization of web searchUS20050131866Dec 3, 2003Jun 16, 2005Badros Gregory J.Methods and systems for personalized network searchingUS20050149473 *Dec 24, 2003Jul 7, 2005Microsoft CorporationDynamic grouping of content including captive dataUS20050149499Dec 30, 2003Jul 7, 2005Google Inc., A Delaware CorporationSystems and methods for improving search qualityUS20050234972 *Apr 15, 2004Oct 20, 2005Microsoft CorporationReinforced clustering of multi-type data objects for search term suggestionUS20050289120Jul 26, 2001Dec 29, 2005Goto.Com, Inc.System and method for influencing a position on a search result list generated by a computer network search engineUS20060173880Jan 28, 2005Aug 3, 2006Microsoft CorporationSystem and method for generating contextual survey sequence for search resultsUS20060271524Feb 27, 2006Nov 30, 2006Michael TanneMethods of and systems for searching by incorporating user-entered informationUS20070011154Apr 11, 2006Jan 11, 2007Textdigger, Inc.System and method for searching for a queryUS20070112761Jun 28, 2006May 17, 2007Zhichen XuSearch engine with augmented relevance ranking by community participationUS20070185858Aug 2, 2006Aug 9, 2007Yunshan LuSystems for and methods of finding relevant documents by analyzing tagsJP2001350794A Title not availableJP2004013323A Title not availableWO1999066427A1Jun 11, 1999Dec 23, 1999Amazon ComSystem and method for refining search queries* Cited by examinerNon-Patent CitationsReference1Arjomandi, Noosha, Non-Final Office Action mailed Jul. 8, 2009, U.S. Appl. No. 11/364,617, 15 pages.2Claire Cardie "Empirical Methods in Information Extraction", Al Magazine, 18(4), 1997, pp. 65-79.3Foreign Office Action, China Patent Office, dated Jul. 6, 2011, China Patent Application No. 200680013556.8, Filed Feb. 28, 2006.4Foreign Office Action, Japan Patent Office, dated May 11, 2011, Japan Patent Application No. 2007-558198, Filed Aug. 28, 2007.5Foreign Office Action, Japan Patent Office, dated May 12, 2011, Japan Patent Application No. 2008-502111, Filed Sep. 18, 2007.6Foreign Office Action; China State Intellectual Property Office, dated Sep. 27, 2010, Chinese Patent Application No. 2006800172703.7, Filed Mar. 17, 2006.7Gerard Salton, "Dynamic Document Processing", Communications of the ACM, 15(7), 658-668 (1972).8Hwee Tou Ng et al., "A Machine Learning Approach to Answering Questions for Reading Comprehension Tests", DSO National Laboratories, pp. 124-132.9Jimin Liu et al., "Building Semantic Perceptron Net for Topic Spotting", School of Computing, National University of Singapore, 8 pages.10Julian Kupiec et al., "A Trainable Document Summarizer", Xerox Palo Alto Research Center, 6 pages.11K. Sparck et al., "A probabilistic of information retrieval: development and status", Computer Laboratory, University of Cambridge, Aug. 1998, pp. 1-74.12Lynette Hirschman et al., "Deep Read: A Reading Comprehension System", The MITRE Corporation, pp. 325-332.13Notification of Examination, Taiwan Intellectual Property Office, dated Sep. 23, 2010, Taiwan Patent Application No. 095109496, Wink Technologies.14Richard M. Tong et al., "Conceptual Information Retrieval using RUBRIC", Advanced Decision Systems, pp. 247-253.15Search Report and Preliminary Opinion, European Patent Office, dated Sep. 6, 2010, European Patent Application No. 06738810.8, Search Engine Technologies, LLC.16Sergey Brin et al., "The Anatomy of a Large-Scale Hypertextual Web Search Engine", Computer Science Department, Stanford University, pp. 1-26.17Stephen Soderland, "Learning Information Extraction Rules for Semi-Structured and Free Text", Machine Learning, 34, 233-272 (1999).18Steve Lawrence & C. Lee Giles, "Accessibility of information on the web", Nature, 400(8), Jul. 1999, pp. 107-109.19Vladimir Eske "User Profile Management in a Web Search Engine", Computer Science Department Saarland University, Jun. 2004, pp. 1-123.20Wee Meng Soon et al., "Corpus-Based Learning for Noun Phrase Coreference Resolution", DSO National Laboratories, pp. 285-291.21Yiming Yang et al., "A Comparative Study on Feature Selection in Text Categorization", 9 pages.22Yiming Yang et al., "A re-examination of text categorization methods", Proceedings of SIGIR '99, pp. 42-49.23Yu Suzuki, An Automatic Selection Method of Integration Function, Technical Report of IEICE, Japan, The Institute of Electronics, Information and Communication Engineers, Jul. 7, 2004, vol. 104, No. 177, pp. 195-200.Referenced byCiting PatentFiling datePublication dateApplicantTitleUS20080066052 *Sep 7, 2007Mar 13, 2008Stephen WolframMethods and systems for determining a formulaUS20100082808 *Sep 29, 2009Apr 1, 2010Red Aril, Inc.System and method for automatically delivering relevant internet content* Cited by examinerClassifications U.S. Classification707/723, 707/999.003, 707/748International ClassificationG06F17/30Cooperative ClassificationG06F17/30705, Y10S707/99933, G06F17/30867, G06F17/30648, G06F17/30554European ClassificationG06F17/30S4V, G06F17/30T4, G06F17/30W1F, G06F17/30T2F2RLegal EventsDateCodeEventDescriptionAug 14, 2012CCCertificate of correctionOct 6, 2008ASAssignmentOwner name: SEARCH ENGINE TECHNOLOGIES, LLC, CALIFORNIAFree format text: CORRECTIVE ASSIGNMENT TO CORRECT SERIAL NUMBER 11/378,576, PREVIOUSLY RECORDED AT REEL 021445 FRAME0637;ASSIGNOR:WINK TECHNOLOGIES, INC.;REEL/FRAME:021653/0191Effective date: 20080814Aug 22, 2008ASAssignmentFree format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:WINK TECHNOLOGIES, INC.;REEL/FRAME:021445/0637Owner name: SEARCH ENGINE TECHNOLOGIES, LLC, CALIFORNIAEffective date: 20080814Jan 25, 2007ASAssignmentOwner name: WINK TECHNOLOGIES, INC., CALIFORNIAFree format text: RE-RECORD TO DELETE SERIAL NO. 11-378-576 PREVIOUSLY RECORDED ON REEL 017973 FRAME 0795.;ASSIGNOR:MACHINE PHASE SYSTEMS LIMITED;REEL/FRAME:018838/0430Effective date: 20050630Free format text: RE-RECORD TO DELETE SERIAL NO. 11-378-576 PREVIOUSLY RECORDED ON REEL 017973 FRAME 0795;ASSIGNOR:MACHINE PHASE SYSTEMS LIMITED;REEL/FRAME:018838/0430Jun 7, 2006ASAssignmentOwner name: WINK TECHNOLOGIES,CALIFORNIAFree format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:MACHINE PHASE SYSTEMS, LIMITED;REEL/FRAME:17973/795Effective date: 20050630Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:MACHINE PHASE SYSTEMS, LIMITED;REEL/FRAME:017973/0795Owner name: WINK TECHNOLOGIES, CALIFORNIARotateOriginal ImageGoogle Home - Sitemap - USPTO Bulk Downloads - Privacy Policy - Terms of Service - About Google Patents - Send FeedbackData provided by IFI CLAIMS Patent Services©2012 Google