WO2017064561A3 - Selection of initial document collection for visual interactive search - Google Patents

Selection of initial document collection for visual interactive search Download PDF

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Publication number
WO2017064561A3
WO2017064561A3 PCT/IB2016/001590 IB2016001590W WO2017064561A3 WO 2017064561 A3 WO2017064561 A3 WO 2017064561A3 IB 2016001590 W IB2016001590 W IB 2016001590W WO 2017064561 A3 WO2017064561 A3 WO 2017064561A3
Authority
WO
WIPO (PCT)
Prior art keywords
documents
initial
user
selection
space
Prior art date
Application number
PCT/IB2016/001590
Other languages
French (fr)
Other versions
WO2017064561A2 (en
Inventor
Diego Guy M. LEGRAND
Philip M. Long
Nigel Duffy
Original Assignee
Sentient Technologies (Barbados) Limited
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 Sentient Technologies (Barbados) Limited filed Critical Sentient Technologies (Barbados) Limited
Publication of WO2017064561A2 publication Critical patent/WO2017064561A2/en
Publication of WO2017064561A3 publication Critical patent/WO2017064561A3/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
    • G06F16/34—Browsing; Visualisation therefor

Abstract

Roughly described, a system for user identification of a desired document. A database identifies a catalog of documents in an embedding space, in which the distance between documents corresponds to a measure of their dissimilarity. The system presents an initial collection of the documents toward the user from an initial candidate space which is part of the embedding space, then in response to iterative user input, refines the candidate space and subsequent collections of documents presented toward the user. The initial collection is determined using a weighted cost-based iterative addition to the initial collection of documents from the initial candidate space, trading off between two sub-objectives of representativeness and diversity.
PCT/IB2016/001590 2015-10-15 2016-10-17 Selection of initial document collection for visual interactive search WO2017064561A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201562242258P 2015-10-15 2015-10-15
US62/242,258 2015-10-15

Publications (2)

Publication Number Publication Date
WO2017064561A2 WO2017064561A2 (en) 2017-04-20
WO2017064561A3 true WO2017064561A3 (en) 2017-07-06

Family

ID=58517053

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2016/001590 WO2017064561A2 (en) 2015-10-15 2016-10-17 Selection of initial document collection for visual interactive search

Country Status (1)

Country Link
WO (1) WO2017064561A2 (en)

Citations (9)

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Publication number Priority date Publication date Assignee Title
US6098034A (en) * 1996-03-18 2000-08-01 Expert Ease Development, Ltd. Method for standardizing phrasing in a document
US6286018B1 (en) * 1998-03-18 2001-09-04 Xerox Corporation Method and apparatus for finding a set of documents relevant to a focus set using citation analysis and spreading activation techniques
US6353825B1 (en) * 1999-07-30 2002-03-05 Verizon Laboratories Inc. Method and device for classification using iterative information retrieval techniques
US20020164078A1 (en) * 2001-03-23 2002-11-07 Fujitsu Limited Information retrieving system and method
US20050165600A1 (en) * 2004-01-27 2005-07-28 Kas Kasravi System and method for comparative analysis of textual documents
US20080243842A1 (en) * 2007-03-28 2008-10-02 Xerox Corporation Optimizing the performance of duplicate identification by content
US7814107B1 (en) * 2007-05-25 2010-10-12 Amazon Technologies, Inc. Generating similarity scores for matching non-identical data strings
US20130212090A1 (en) * 2012-02-09 2013-08-15 Stroz Friedberg, LLC Similar document detection and electronic discovery
US8972394B1 (en) * 2009-07-20 2015-03-03 Google Inc. Generating a related set of documents for an initial set of documents

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6098034A (en) * 1996-03-18 2000-08-01 Expert Ease Development, Ltd. Method for standardizing phrasing in a document
US6286018B1 (en) * 1998-03-18 2001-09-04 Xerox Corporation Method and apparatus for finding a set of documents relevant to a focus set using citation analysis and spreading activation techniques
US6353825B1 (en) * 1999-07-30 2002-03-05 Verizon Laboratories Inc. Method and device for classification using iterative information retrieval techniques
US20020164078A1 (en) * 2001-03-23 2002-11-07 Fujitsu Limited Information retrieving system and method
US20050165600A1 (en) * 2004-01-27 2005-07-28 Kas Kasravi System and method for comparative analysis of textual documents
US20080243842A1 (en) * 2007-03-28 2008-10-02 Xerox Corporation Optimizing the performance of duplicate identification by content
US7814107B1 (en) * 2007-05-25 2010-10-12 Amazon Technologies, Inc. Generating similarity scores for matching non-identical data strings
US8972394B1 (en) * 2009-07-20 2015-03-03 Google Inc. Generating a related set of documents for an initial set of documents
US20130212090A1 (en) * 2012-02-09 2013-08-15 Stroz Friedberg, LLC Similar document detection and electronic discovery

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
STASKO ET AL.: "Jigsaw: supporting investigative analysis through interactive visualization.", 2008, XP031221446, Retrieved from the Internet <URL:http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1014.9375&rep=rep1&type=pdf> [retrieved on 20170419] *

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