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IN-TRANSIT DRIVING RECOMMENDATIONS THROUGH ARTIFICIAL INTELLIGENCE

机译:通过人工智能驾驶推动推荐

摘要

An approach is provided that trains an artificial intelligence system to understand user preferences with least some of these preferences being learned from social media data pertaining to the user. The approach identifies points of interest between a starting location and a planned destination. The identification is performed while the user is traveling by automobile to the planned destination. The planned destination is included in an itinerary. The approach calculates an affinity score between the points of interest and the user preferences and recommends a set of points of interest based on the calculated affinity scores. A selection is received from the user of one of the points of interest from the recommended set. The itinerary is updated to include traveling to the selected point of interest and the user is provided with a set of driving instructions according to the updated itinerary.
机译:提供了一种方法,该方法列举人工智能系统,以了解用户偏好,其中至少一些这些偏好从与用户有关的社交媒体数据学习。 该方法识别起始位置和计划目的地之间的感兴趣点。 当用户通过汽车行驶到计划目的地时执行识别。 计划的目的地包含在行程中。 该方法计算感兴趣点和用户偏好之间的亲和分数,并根据计算的亲和分数推荐一组兴趣点。 从推荐集中的一个感兴趣点的用户接收到选择。 该行程被更新以包括旅行到所选择的感兴趣点,并且用户被提供有一组驱动指令,根据更新的行程。

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