EP3895032A4 - System and method for obtaining recommendations using scalable cross-domain collaborative filtering - Google Patents

System and method for obtaining recommendations using scalable cross-domain collaborative filtering Download PDF

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Publication number
EP3895032A4
EP3895032A4 EP19895759.9A EP19895759A EP3895032A4 EP 3895032 A4 EP3895032 A4 EP 3895032A4 EP 19895759 A EP19895759 A EP 19895759A EP 3895032 A4 EP3895032 A4 EP 3895032A4
Authority
EP
European Patent Office
Prior art keywords
collaborative filtering
domain collaborative
scalable cross
obtaining recommendations
recommendations
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
EP19895759.9A
Other languages
German (de)
French (fr)
Other versions
EP3895032A1 (en
Inventor
Dinesh Kumar
Yuanyuan Pan
Prashant GUARAV
Fransisco Kurniadi
Krishnakumar Govindarajalu
Kimberly Kidney
Tao Sun
Yue Xin
Kevin Ward
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
PayPal Inc
Original Assignee
PayPal Inc
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
Priority claimed from US16/215,808 external-priority patent/US11157987B2/en
Application filed by PayPal Inc filed Critical PayPal Inc
Publication of EP3895032A1 publication Critical patent/EP3895032A1/en
Publication of EP3895032A4 publication Critical patent/EP3895032A4/en
Pending legal-status Critical Current

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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
    • G06F16/90—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

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
EP19895759.9A 2018-12-11 2019-12-03 System and method for obtaining recommendations using scalable cross-domain collaborative filtering Pending EP3895032A4 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US16/215,808 US11157987B2 (en) 2018-12-07 2018-12-11 System and method for obtaining recommendations using scalable cross-domain collaborative filtering
PCT/US2019/064328 WO2020123209A1 (en) 2018-12-11 2019-12-03 System and method for obtaining recommendations using scalable cross-domain collaborative filtering

Publications (2)

Publication Number Publication Date
EP3895032A1 EP3895032A1 (en) 2021-10-20
EP3895032A4 true EP3895032A4 (en) 2022-08-17

Family

ID=71076613

Family Applications (1)

Application Number Title Priority Date Filing Date
EP19895759.9A Pending EP3895032A4 (en) 2018-12-11 2019-12-03 System and method for obtaining recommendations using scalable cross-domain collaborative filtering

Country Status (4)

Country Link
EP (1) EP3895032A4 (en)
CN (1) CN113168424A (en)
AU (2) AU2019395313A1 (en)
WO (1) WO2020123209A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113779380B (en) * 2021-08-12 2023-11-21 阿里巴巴（中国）有限公司 Cross-domain recommendation and content recommendation methods, devices and equipment

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050193002A1 (en) * 2004-02-26 2005-09-01 Yahoo! Inc. Method and system for generating recommendations
US20090013002A1 (en) * 2007-03-31 2009-01-08 Sony Deutschland Gmbh Method for content recommendation
US20140214562A1 (en) * 2013-01-29 2014-07-31 Wal-Mart Stores, Inc. Customized Impulse Shelves
US20170250930A1 (en) * 2016-02-29 2017-08-31 Outbrain Inc. Interactive content recommendation personalization assistant

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Publication number Priority date Publication date Assignee Title
US7630986B1 (en) * 1999-10-27 2009-12-08 Pinpoint, Incorporated Secure data interchange
US7130807B1 (en) * 1999-11-22 2006-10-31 Accenture Llp Technology sharing during demand and supply planning in a network-based supply chain environment
CN103620593A (en) * 2011-04-19 2014-03-05 诺基亚公司 Method and apparatus for providing feature-based collaborative filtering
CA2825498C (en) * 2012-08-31 2017-05-16 Accenture Global Services Limited Hybrid recommendation system
JP5938009B2 (en) * 2013-05-28 2016-06-22 日本電信電話株式会社 Information recommendation device, information recommendation method, and information recommendation program
CN103745356A (en) * 2013-12-23 2014-04-23 苏州亚安智能科技有限公司 Orientation electronic-commerce platform based on customer demands
US10043205B2 (en) * 2014-06-30 2018-08-07 Microsoft Technology Licensing, Llc Lead recommendations
US10565615B2 (en) * 2014-07-01 2020-02-18 Transform Sr Brands Llc System and method for personalized add-on purchase
CN105488216B (en) * 2015-12-17 2020-08-21 上海中彦信息科技股份有限公司 Recommendation system and method based on implicit feedback collaborative filtering algorithm
US10339198B2 (en) * 2015-12-18 2019-07-02 Bitly, Inc. Systems and methods for benchmarking online activity via encoded links
CN107743249A (en) * 2017-11-27 2018-02-27 四川长虹电器股份有限公司 A kind of CTR predictor methods based on Model Fusion

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050193002A1 (en) * 2004-02-26 2005-09-01 Yahoo! Inc. Method and system for generating recommendations
US20090013002A1 (en) * 2007-03-31 2009-01-08 Sony Deutschland Gmbh Method for content recommendation
US20140214562A1 (en) * 2013-01-29 2014-07-31 Wal-Mart Stores, Inc. Customized Impulse Shelves
US20170250930A1 (en) * 2016-02-29 2017-08-31 Outbrain Inc. Interactive content recommendation personalization assistant

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
ANONYMOUS: "Batch versus Stream processing. Combine? - InfluxData Community Forums", 31 July 2018 (2018-07-31), XP093185633, Retrieved from the Internet <URL:https://community.influxdata.com/t/batch-versus-stream-processing-combine/792> *
DAMASKINOS GEORGIOS ET AL: "Capturing the Moment: Lightweight Similarity Computations", 2017 IEEE 33RD INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE), IEEE, 19 April 2017 (2017-04-19), pages 747 - 758, XP033099563, DOI: 10.1109/ICDE.2017.126 *
See also references of WO2020123209A1 *

Also Published As

Publication number Publication date
AU2023203082A1 (en) 2023-06-08
AU2019395313A1 (en) 2021-06-24
CN113168424A (en) 2021-07-23
WO2020123209A1 (en) 2020-06-18
EP3895032A1 (en) 2021-10-20

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