WO2013184383A3 - App recommendation using crowd-sourced localized app usage data - Google Patents

App recommendation using crowd-sourced localized app usage data Download PDF

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Publication number
WO2013184383A3
WO2013184383A3 PCT/US2013/042483 US2013042483W WO2013184383A3 WO 2013184383 A3 WO2013184383 A3 WO 2013184383A3 US 2013042483 W US2013042483 W US 2013042483W WO 2013184383 A3 WO2013184383 A3 WO 2013184383A3
Authority
WO
WIPO (PCT)
Prior art keywords
app
usage data
apps
crowd
recommendation
Prior art date
Application number
PCT/US2013/042483
Other languages
French (fr)
Other versions
WO2013184383A2 (en
Inventor
Leonardo A. SOTO MATAMALA
Ronald K. Huang
Lukas Marti
Xiaoyuan Tu
Original Assignee
Apple 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 US13/842,724 external-priority patent/US9510141B2/en
Application filed by Apple Inc. filed Critical Apple Inc.
Publication of WO2013184383A2 publication Critical patent/WO2013184383A2/en
Publication of WO2013184383A3 publication Critical patent/WO2013184383A3/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/958Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking

Abstract

Apps may be tagged with location data when they are used. Mobile device may anonymously submit app usage data. Aggregated app usage data from many mobile devices may be analyzed to determine apps that are particularly relevant to a given location (i.e., exhibiting a high degree of localization). Analysis may include determining the app usage intensity, whether hotspots exist or not at a given location, the spatial entropy of a particular app, the device populations in a particular area, etc. Based on the localized app analysis, apps may be ranked according to local relevance, and, based on this ranking, app recommendations may be provided to a user.
PCT/US2013/042483 2012-06-04 2013-05-23 App recommendation using crowd-sourced localized app usage data WO2013184383A2 (en)

Applications Claiming Priority (10)

Application Number Priority Date Filing Date Title
US201261655427P 2012-06-04 2012-06-04
US61/655,427 2012-06-04
US201261657403P 2012-06-08 2012-06-08
US61/657,403 2012-06-08
US201261699705P 2012-09-11 2012-09-11
US61/699,705 2012-09-11
US13/842,724 US9510141B2 (en) 2012-06-04 2013-03-15 App recommendation using crowd-sourced localized app usage data
US13/843,291 US9195721B2 (en) 2012-06-04 2013-03-15 Mobile device with localized app recommendations
US13/843,291 2013-03-15
US13/842,724 2013-03-15

Publications (2)

Publication Number Publication Date
WO2013184383A2 WO2013184383A2 (en) 2013-12-12
WO2013184383A3 true WO2013184383A3 (en) 2014-05-15

Family

ID=49712802

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2013/042483 WO2013184383A2 (en) 2012-06-04 2013-05-23 App recommendation using crowd-sourced localized app usage data

Country Status (1)

Country Link
WO (1) WO2013184383A2 (en)

Families Citing this family (18)

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US9195721B2 (en) 2012-06-04 2015-11-24 Apple Inc. Mobile device with localized app recommendations
US9390378B2 (en) 2013-03-28 2016-07-12 Wal-Mart Stores, Inc. System and method for high accuracy product classification with limited supervision
US9436919B2 (en) 2013-03-28 2016-09-06 Wal-Mart Stores, Inc. System and method of tuning item classification
US9483741B2 (en) 2013-03-28 2016-11-01 Wal-Mart Stores, Inc. Rule-based item classification
US9913100B2 (en) 2014-05-30 2018-03-06 Apple Inc. Techniques for generating maps of venues including buildings and floors
US10108748B2 (en) 2014-05-30 2018-10-23 Apple Inc. Most relevant application recommendation based on crowd-sourced application usage data
US9402161B2 (en) 2014-07-23 2016-07-26 Apple Inc. Providing personalized content based on historical interaction with a mobile device
WO2016039676A1 (en) * 2014-09-11 2016-03-17 Telefonaktiebolaget L M Ericsson (Publ) Pre-processing of user data
US9971972B2 (en) 2014-12-30 2018-05-15 Oath Inc. Predicting the next application that you are going to use on aviate
WO2016166558A1 (en) 2015-04-16 2016-10-20 Google, Inc. Native application search result adjustment based on user specific affinity
US9529500B1 (en) 2015-06-05 2016-12-27 Apple Inc. Application recommendation based on detected triggering events
US10169474B2 (en) 2015-06-11 2019-01-01 International Business Machines Corporation Mobile application discovery using an electronic map
WO2017017664A1 (en) * 2015-07-30 2017-02-02 Wix.Com Ltd. System integrating a mobile device application creation, editing and distribution system with a website design system
US10672042B2 (en) 2016-01-08 2020-06-02 International Business Machines Corporation Method for tailored mobile application rating insights
WO2017213560A1 (en) * 2016-06-08 2017-12-14 Telefonaktiebolaget Lm Ericsson (Publ) Voice or multimedia session analysis in a wireless communication network
US10200810B2 (en) * 2016-06-12 2019-02-05 Apple Inc. Proactive actions on mobile device using uniquely-identifiable and unlabeled locations
CN109766138A (en) * 2017-11-08 2019-05-17 广东欧珀移动通信有限公司 Application program prediction model is established, preloads method, apparatus, medium and terminal
US10945190B2 (en) 2019-01-04 2021-03-09 Apple Inc. Predictive routing based on microlocation

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Publication number Publication date
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