IN2015DN00832A - - Google Patents

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Publication number
IN2015DN00832A
IN2015DN00832A IN832DEN2015A IN2015DN00832A IN 2015DN00832 A IN2015DN00832 A IN 2015DN00832A IN 832DEN2015 A IN832DEN2015 A IN 832DEN2015A IN 2015DN00832 A IN2015DN00832 A IN 2015DN00832A
Authority
IN
India
Prior art keywords
items
list
processing unit
user interface
feature value
Prior art date
Application number
Inventor
Jan Korst
Serverius Petrus Paulus Pronk
Mauro Barbieri
Original Assignee
Funke Digital Tv Guide Gmbh
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 Funke Digital Tv Guide Gmbh filed Critical Funke Digital Tv Guide Gmbh
Publication of IN2015DN00832A publication Critical patent/IN2015DN00832A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2457—Query processing with adaptation to user needs
    • G06F16/24578—Query processing with adaptation to user needs using ranking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241—Advertisements
    • G06Q30/0251—Targeted advertisements
    • G06Q30/0269—Targeted advertisements based on user profile or attribute
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4662—Learning process for intelligent management, e.g. learning user preferences for recommending movies characterized by learning algorithms
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/482—End-user interface for program selection
    • H04N21/4826—End-user interface for program selection using recommendation lists, e.g. of programs or channels sorted out according to their score

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • Accounting & Taxation (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Human Computer Interaction (AREA)
  • Software Systems (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Computational Linguistics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • User Interface Of Digital Computer (AREA)
  • Digital Computer Display Output (AREA)

Abstract

The invention refers to a method and a device for adjusting filter parameters wherein the device comprises a display a physical user interface a memory and a processing unit that is operatively connected to the display the physical user interface and the memory. The memory comprises a (plurality of) sorted list of items comprising a plurality of items in an ordered manner wherein the order of the items is determined by their rank and each item is characterized by at least one feature value pair that represents a value of a feature of the item. The processing unit is configured to generate a graphical representation of the items in the list in an ordered manner on the display. The processing unit is further configured to respond to the physical user interface so as to allow a user to re order (rearrange) and/or drop items in the graphical representation of the list of items. The processing unit is further configured to modify the rank of the items in the list according to the graphical representation after rearrangement in response to the physical user interface. The processing unit is further configured to determine a like degree for at least some of the feature value pairs characterizing the items in the re ordered list so that a product of feature value pair like degree indicating factors for a particular item matches the rank of the items in the re ordered list when compared to a product of feature value pair like degree indicating factors of other items in the reordered list.
IN832DEN2015 2012-07-06 2013-07-05 IN2015DN00832A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP12175382.6A EP2682910A1 (en) 2012-07-06 2012-07-06 Device and method for automatic filter adjustment
PCT/EP2013/064314 WO2014006209A1 (en) 2012-07-06 2013-07-05 Device and method for automatic filter adjustment

Publications (1)

Publication Number Publication Date
IN2015DN00832A true IN2015DN00832A (en) 2015-06-12

Family

ID=48746559

Family Applications (1)

Application Number Title Priority Date Filing Date
IN832DEN2015 IN2015DN00832A (en) 2012-07-06 2013-07-05

Country Status (6)

Country Link
US (1) US9959316B2 (en)
EP (2) EP2682910A1 (en)
CN (1) CN104508692B (en)
IN (1) IN2015DN00832A (en)
RU (1) RU2633096C2 (en)
WO (1) WO2014006209A1 (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140317105A1 (en) * 2013-04-23 2014-10-23 Google Inc. Live recommendation generation
US10296612B2 (en) 2015-09-29 2019-05-21 At&T Mobility Ii Llc Sorting system
US10416959B2 (en) 2015-10-27 2019-09-17 At&T Mobility Ii Llc Analog sorter
US10261832B2 (en) 2015-12-02 2019-04-16 At&T Mobility Ii Llc Sorting apparatus
US10496370B2 (en) 2015-12-02 2019-12-03 At&T Intellectual Property I, L.P. Adaptive alphanumeric sorting apparatus

Family Cites Families (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR0129964B1 (en) * 1994-07-26 1998-04-18 김광호 Musical instrument selectable karaoke
US5616876A (en) * 1995-04-19 1997-04-01 Microsoft Corporation System and methods for selecting music on the basis of subjective content
US5930784A (en) * 1997-08-21 1999-07-27 Sandia Corporation Method of locating related items in a geometric space for data mining
US6493702B1 (en) * 1999-05-05 2002-12-10 Xerox Corporation System and method for searching and recommending documents in a collection using share bookmarks
KR100530475B1 (en) * 1999-11-10 2006-01-09 론치 미디어, 인크. Internet radio and broadcast method
US7937725B1 (en) * 2000-07-27 2011-05-03 Koninklijke Philips Electronics N.V. Three-way media recommendation method and system
US7757250B1 (en) * 2001-04-04 2010-07-13 Microsoft Corporation Time-centric training, inference and user interface for personalized media program guides
DE10154656A1 (en) * 2001-05-10 2002-11-21 Ibm Computer based method for suggesting articles to individual users grouped with other similar users for marketing and sales persons with user groups determined using dynamically calculated similarity factors
US7836057B1 (en) 2001-09-24 2010-11-16 Auguri Corporation Weighted preference inference system and method
US9092523B2 (en) 2005-02-28 2015-07-28 Search Engine Technologies, Llc Methods of and systems for searching by incorporating user-entered information
US8412698B1 (en) 2005-04-07 2013-04-02 Yahoo! Inc. Customizable filters for personalized search
US8468244B2 (en) * 2007-01-05 2013-06-18 Digital Doors, Inc. Digital information infrastructure and method for security designated data and with granular data stores
JP4941161B2 (en) 2007-08-02 2012-05-30 ブラザー工業株式会社 Motion detection device
US20090163183A1 (en) * 2007-10-04 2009-06-25 O'donoghue Hugh Recommendation generation systems, apparatus and methods
US20090164929A1 (en) 2007-12-20 2009-06-25 Microsoft Corporation Customizing Search Results
CN101661477A (en) * 2008-08-26 2010-03-03 华为技术有限公司 Search method and system
EP2202655A1 (en) 2008-12-23 2010-06-30 Axel Springer Digital TV Guide GmbH Biased recommender system
US8160996B2 (en) * 2009-02-02 2012-04-17 The Hong Kong Polytechnic University Sequence online analytical processing system

Also Published As

Publication number Publication date
EP2870578A1 (en) 2015-05-13
RU2015103735A (en) 2016-08-27
CN104508692A (en) 2015-04-08
RU2633096C2 (en) 2017-10-11
WO2014006209A1 (en) 2014-01-09
EP2682910A1 (en) 2014-01-08
US9959316B2 (en) 2018-05-01
US20150169585A1 (en) 2015-06-18
CN104508692B (en) 2019-10-01

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