学習したユーザコンテキストと対話とに基づいたアンビエント情報、ならびに関連するシステムおよびデバイスの提供

Abstract

Methods, computer-readable media, and devices are described for automatically scheduling ambient information and apps based on learned user context and interactions. The method may include recording information corresponding to one or more ambient screens previously displayed to a user, building a probabilistic inference model based at least in part on the recorded information, ranking the one or more ambient screens based at least in part on the probabilistic inference model, selecting a candidate ambient screen from the ranked one or more ambient screens, and displaying the candidate ambient screen during an idle time slot.

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