WO2001080070A3 - Search engine with search task model and interactive search task-refinement process - Google Patents

Search engine with search task model and interactive search task-refinement process Download PDF

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Publication number
WO2001080070A3
WO2001080070A3 PCT/EP2001/003945 EP0103945W WO0180070A3 WO 2001080070 A3 WO2001080070 A3 WO 2001080070A3 EP 0103945 W EP0103945 W EP 0103945W WO 0180070 A3 WO0180070 A3 WO 0180070A3
Authority
WO
WIPO (PCT)
Prior art keywords
search
user
refine
task model
task
Prior art date
Application number
PCT/EP2001/003945
Other languages
French (fr)
Other versions
WO2001080070A2 (en
Inventor
James D Schaffer
Kwok P Lee
Paul Rutter
Original Assignee
Koninkl Philips Electronics Nv
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Koninkl Philips Electronics Nv filed Critical Koninkl Philips Electronics Nv
Priority to KR1020017016059A priority Critical patent/KR20020019079A/en
Priority to JP2001577202A priority patent/JP2004515829A/en
Publication of WO2001080070A2 publication Critical patent/WO2001080070A2/en
Publication of WO2001080070A3 publication Critical patent/WO2001080070A3/en

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/332—Query formulation
    • G06F16/3325—Reformulation based on results of preceding query

Abstract

A search engine provides an intelligent assistant that accepts a task model definition for each search that can be compared to a result of the search and used to refine the search either by requesting additional input or automatically. The general approach of a task model is to determine either directly or passively, whether the search results are a good match for what the user is seeking. This way the system has something to compare to the search results the user retrieves. As is well known, much frustration can attend the process of doing research of complex data sets. The above provides a mechanism for allowing a user to specify information, or for the system to infer information, that can be compared to a search result or used to refine a search before it is done. As shown, this can be used as a basis for an intelligent assistant that gives the user opportunities to refine his search by offering alternative search terms.
PCT/EP2001/003945 2000-04-13 2001-04-06 Search engine with search task model and interactive search task-refinement process WO2001080070A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
KR1020017016059A KR20020019079A (en) 2000-04-13 2001-04-06 Search engine with search task model and interactive search task-refinement process
JP2001577202A JP2004515829A (en) 2000-04-13 2001-04-06 Search engine with search task model and interactive search task improvement process

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US54864300A 2000-04-13 2000-04-13
US09/548,643 2000-04-13

Publications (2)

Publication Number Publication Date
WO2001080070A2 WO2001080070A2 (en) 2001-10-25
WO2001080070A3 true WO2001080070A3 (en) 2003-12-04

Family

ID=24189753

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2001/003945 WO2001080070A2 (en) 2000-04-13 2001-04-06 Search engine with search task model and interactive search task-refinement process

Country Status (3)

Country Link
JP (1) JP2004515829A (en)
KR (1) KR20020019079A (en)
WO (1) WO2001080070A2 (en)

Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6859803B2 (en) * 2001-11-13 2005-02-22 Koninklijke Philips Electronics N.V. Apparatus and method for program selection utilizing exclusive and inclusive metadata searches
US7617205B2 (en) 2005-03-30 2009-11-10 Google Inc. Estimating confidence for query revision models
US9223868B2 (en) 2004-06-28 2015-12-29 Google Inc. Deriving and using interaction profiles
US7870147B2 (en) 2005-03-29 2011-01-11 Google Inc. Query revision using known highly-ranked queries
US7565345B2 (en) * 2005-03-29 2009-07-21 Google Inc. Integration of multiple query revision models
US7747639B2 (en) 2005-08-24 2010-06-29 Yahoo! Inc. Alternative search query prediction
US7844599B2 (en) 2005-08-24 2010-11-30 Yahoo! Inc. Biasing queries to determine suggested queries
US7516124B2 (en) 2005-12-20 2009-04-07 Yahoo! Inc. Interactive search engine
US7672932B2 (en) 2005-08-24 2010-03-02 Yahoo! Inc. Speculative search result based on a not-yet-submitted search query
US7664746B2 (en) 2005-11-15 2010-02-16 Microsoft Corporation Personalized search and headlines
US8788517B2 (en) * 2006-06-28 2014-07-22 Microsoft Corporation Intelligently guiding search based on user dialog
US7761805B2 (en) 2006-09-11 2010-07-20 Yahoo! Inc. Displaying items using a reduced presentation
US7630970B2 (en) 2006-11-28 2009-12-08 Yahoo! Inc. Wait timer for partially formed query
CN103207862A (en) * 2012-01-13 2013-07-17 阿尔卡特朗讯公司 Method and device for injecting additional information in video
CN103823898A (en) * 2014-03-14 2014-05-28 联想(北京)有限公司 Data processing method, device and electronic equipment
US9900648B2 (en) 2015-08-21 2018-02-20 Echostar Technologies L.L.C. Systems and methods for search and categorization

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0774868A1 (en) * 1995-11-17 1997-05-21 Thomson Consumer Electronics, Inc. A scheduler apparatus employing a gopher for use in a television receiver
US6026388A (en) * 1995-08-16 2000-02-15 Textwise, Llc User interface and other enhancements for natural language information retrieval system and method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6026388A (en) * 1995-08-16 2000-02-15 Textwise, Llc User interface and other enhancements for natural language information retrieval system and method
EP0774868A1 (en) * 1995-11-17 1997-05-21 Thomson Consumer Electronics, Inc. A scheduler apparatus employing a gopher for use in a television receiver

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
STEVE LAWRENCE, C. LEE GILES: "Context and Page Analysis for Improved Web Search", IEEE INTERNET COMPUTING, 31 August 1998 (1998-08-31), pages 38 - 46, XP002255811, Retrieved from the Internet <URL:http://www.neci.nec.com/~lawrence/papers/search-ic98/search-ic98.pdf> [retrieved on 20030926] *
SUSAN GAUCH, JOHN B. SMITH: "An Expert System for Automatic Query Reformulation", J. AM. SOC. INF. SCI., 31 December 1993 (1993-12-31), pages 1 - 30, XP002255810, Retrieved from the Internet <URL:http://www.ittc.ukans.edu/~sgauch/papers/escdb.ps> [retrieved on 20030926] *

Also Published As

Publication number Publication date
WO2001080070A2 (en) 2001-10-25
KR20020019079A (en) 2002-03-09
JP2004515829A (en) 2004-05-27

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