发明名称 |
Most Relevant Application Recommendation Based on Crowd-Sourced Application Usage Data |
摘要 |
Crowd-sourced localized application usage data is collected from mobile devices at a usage location and sent to a network-based service. The network-based service analyzes the data to determine a single most relevant application correlated to the usage location. Once the most relevant application is determined, a recommendation for the application is sent to client devices operating at the usage location. In some implementations the data is processed to determine whether the usage location is a chained venue, a large venue or an event. Once the usage location has been determined, the most relevant application can be selected for recommendation. |
申请公布号 |
US2015347437(A1) |
申请公布日期 |
2015.12.03 |
申请号 |
US201414501961 |
申请日期 |
2014.09.30 |
申请人 |
Apple Inc. |
发明人 |
Marti Lukas M.;Zhou Zehua;Bartunek Jeffrey Michael;Shao Weili;Popescu Liviu Teodor;Cao Lili;Huang Ronald K. |
分类号 |
G06F17/30;G06Q30/02 |
主分类号 |
G06F17/30 |
代理机构 |
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代理人 |
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主权项 |
1. A method comprising:
receiving, at a server computer, localized application usage data correlated to a usage location; determining a set of applications that are most relevant to the usage location based on the localized application usage data; identifying the usage location as a large venue, chained venue or event; and selecting a single application from the set of applications as most relevant to the usage location based on the identifying. |
地址 |
Cupertino CA US |