Invention Grant
US09510141B2 App recommendation using crowd-sourced localized app usage data
有权
应用推荐使用大众来源的本地化应用使用数据
- Patent Title: App recommendation using crowd-sourced localized app usage data
- Patent Title (中): 应用推荐使用大众来源的本地化应用使用数据
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Application No.: US13842724Application Date: 2013-03-15
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Publication No.: US09510141B2Publication Date: 2016-11-29
- Inventor: Leonardo A. Soto Matamala , Ronald K. Huang , Lukas Marti , Xiaoyuan Tu
- Applicant: Apple Inc.
- Applicant Address: US CA Cupertino
- Assignee: Apple Inc.
- Current Assignee: Apple Inc.
- Current Assignee Address: US CA Cupertino
- Agency: Kilpatrick Townsend & Stockton LLP
- Main IPC: H04W4/02
- IPC: H04W4/02 ; H04W8/18 ; H04L12/16 ; G06F17/30 ; H04M7/00 ; H04W4/20 ; H04W40/24

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.
Public/Granted literature
- US20130325856A1 APP RECOMMENDATION USING CROWD-SOURCED LOCALIZED APP USAGE DATA Public/Granted day:2013-12-05
Information query