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recorded the method for generating a recommendation based on the user preferences and environment characteristics , system, and computer program A computer-readable storage medium

机译:记录了基于用户偏好和环境特征生成推荐的方法,系统和计算机程序计算机可读存储介质

摘要

A recommendation system is disclosed that generates recommendations for one or more items based on user preferences and one or more environmental factors. The user's preferences are learned under various environmental conditions using an environmental data collection system. The observed environmental conditions may include, for example, location, characteristics of the location, weather or characteristics of the user's motion, such as a rate of movement. For each positive and negative behavioral example, a number of attributes of the selected item are classified in the user profile together with the prevailing environmental conditions. When recommending an item, the disclosed recommender retrieves the user preferences and evaluates the current environmental conditions. A recommendation score can be generated for each available item based on the user's demonstrated preferences under similar environmental conditions, such as in the same or a similar geographic area or under similar weather conditions.
机译:公开了一种推荐系统,其基于用户偏好和一个或多个环境因素为一个或多个项目生成推荐。使用环境数据收集系统在各种环境条件下了解用户的偏好。观察到的环境条件可以包括例如位置,位置的特征,天气或用户的运动的特征,例如运动速率。对于每个正面和负面的行为示例,在用户配置文件中将所选项目的许多属性与主要环境条件一起进行分类。在推荐项目时,公开的推荐者检索用户偏好并评估当前环境条件。可以基于用户在类似环境条件下(例如在相同或相似地理区域中或在相似天气条件下)表现出的偏好为每个可用项目生成推荐分数。

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