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 代理人
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