首页> 外国专利> DELIVERY OF TARGETED CONTENT RELATED TO A LEARNED AND PREDICTED FUTURE BEHAVIOR BASED ON SPATIAL, TEMPORAL, AND USER ATTRIBUTES AND BEHAVIORAL CONSTRAINTS

DELIVERY OF TARGETED CONTENT RELATED TO A LEARNED AND PREDICTED FUTURE BEHAVIOR BASED ON SPATIAL, TEMPORAL, AND USER ATTRIBUTES AND BEHAVIORAL CONSTRAINTS

机译:基于空间,时间和用户属性以及行为约束的与经过学习和预期的未来行为有关的目标内容的交付

摘要

Methods and apparatuses and for determining suitability to display information from an information source, such as an advertiser, to a mobile client are described. Learning distribution vectors are tagged to specific content in the information by the advertiser and delivered with the derived learning distribution vectors to the mobile client. The mobile client refines the derived learning distribution vectors based on any one or more combinations of temporal, spatial, attributes, behavioral constraints of the user using context independent/context aware/prediction schemes to determine suitability of the content for display to the user.
机译:描述了用于确定适合从信息源例如广告商向移动客户端显示信息的方法和装置。广告商将学习分布向量标记为信息中的特定内容,并与得出的学习分布向量一起传递给移动客户端。移动客户端使用上下文无关/上下文感知/预测方案,基于用户的时间,空间,属性,行为约束的任何一种或多种组合,来优化导出的学习分布矢量,以确定内容的适合性以显示给用户。

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