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Systems and methods for recommended systems based on implied feedback

机译:基于隐含反馈的推荐系统的系统和方法

摘要

Systems and methods for providing recommended systems for vehicle content delivery networks are described. A static recommendation list can be generated based on the travel characteristics stored on the server. An efficiency threshold can be calculated or provided that sets the point at which the recommendation system becomes available at the cost of static recommendations not being used for recommendation information. Once data about each user's preferences is collected based on implied feedback, that data can be analyzed to calculate the efficiency level of a recommended system that works with the data collected for a user. can. When the efficiency level exceeds the efficiency threshold, the recommended system is automatically used for a specific user.
机译:描述了用于为车辆内容传送网络提供推荐系统的系统和方法。 可以基于存储在服务器上的旅行特性生成静态推荐列表。 可以计算或提供效率阈值,从而设置推荐系统以静态建议的成本可用的点,不用于推荐信息。 一旦基于隐含的反馈收集了关于每个用户偏好的数据,可以分析数据以计算适用于用户收集的数据的推荐系统的效率级别。 能够。 当效率级别超过效率阈值时,推荐的系统会自动用于特定用户。

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