Machine learning techniques for processing tag-based representations of sequential interaction events

作者: Dereszynski Ethan , Crossley Peter

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摘要: Methods and systems are provided for processing tag-based event communications using machine learning. One or more received from a user device. The communication(s) include key-value pairs representing an ordered sequence of multiple interaction events set predefined events. Each communication the one includes generated via execution tag code integrated with app page webpage. A representation is processed learning model to generate profile estimation results that identification particular amongst stored profile. Profile data transmitted client system identifies

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