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MACHINE LEARNING TECHNIQUES FOR PROCESSING TAG-BASED REPRESENTATIONS OF SEQUENTIAL INTERACTION EVENTS
MACHINE LEARNING TECHNIQUES FOR PROCESSING TAG-BASED REPRESENTATIONS OF SEQUENTIAL INTERACTION EVENTS
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机译:基于标签的序列交互事件表示的机器学习技术
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摘要
Methods and systems are provided for processing tag-based event communications using machine learning. One or more event communications are received from a user device. The communication(s) include key-value pairs representing an ordered sequence of multiple interaction events of a set of predefined events. Each communication of the one or more event communications includes one generated via execution of tag code integrated with code of an app page or of a webpage. A representation of the ordered sequence is processed using a machine learning model to generate one or more profile estimation results that include an identification of a particular user profile from amongst a set of stored user profile. Profile data is transmitted to a client system that identifies the particular user profile or is from the particular user profile.
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