Invention Grant
- Patent Title: App recommendation using crowd-sourced localized app usage data
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Application No.: US15360156Application Date: 2016-11-23
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Publication No.: US10474727B2Publication Date: 2019-11-12
- 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: G06F16/9537
- IPC: G06F16/9537 ; H04W4/21 ; G06F16/29 ; G06F16/248 ; G06F16/958 ; H04W8/18 ; H04L12/16 ; H04W4/021 ; H04W12/02 ; H04M7/00 ; H04W40/24 ; H04L12/26

Abstract:
Applications may be tagged with location data when they are used. Mobile device may anonymously submit application usage data. Aggregated application usage data from many mobile devices may be analyzed to determine applications that are particularly relevant to a given location (i.e., exhibiting a high degree of localization). Analysis may include determining the application usage intensity, whether hotspots exist or not at a given location, the spatial entropy of a particular application, the device populations in a particular area, etc. Based on the localized application analysis, applications may be ranked according to local relevance, and, based on this ranking, application recommendations may be provided to a user.
Public/Granted literature
- US20170075910A1 APP RECOMMENDATION USING CROWD-SOURCED LOCALIZED APP USAGE DATA Public/Granted day:2017-03-16
Information query