专利名称：MACHINE LEARNING BASED SEARCH
IMPROVEMENT
发明人：John M. HORNKVIST,Gaurav KAPOOR申请号：US14721945申请日：20150526
公开号：US20150347519A1公开日：20151203
专利附图：
摘要：Systems and methods are disclosed for improving search results returned to auser from one or more search domains, utilizing query features learned locally on theuser's device. A search engine can receive, analyze and forward query results from
multiple search domains and pass the query results to a client device. A search engine candetermine a feature by analyzing query results, generate a predictor for the feature,instruct a client device to use the predictor to train on the feature, and report back tothe search engine on training progress. A search engine can instruct a first and second setof client devices to train on set A and B of predictors, respectively, and report backtraining progress to the search engine. A client device can store search session contextand share the context with a search engine between sessions with one or more searchengines. A synchronization system can synchronize local predictors between multipleclient devices of a user.
申请人：Apple Inc.
地址：Cupertino CA US
国籍：US
更多信息请下载全文后查看
因篇幅问题不能全部显示，请点此查看更多更全内容