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System and method for recommending entities based on interest indicators

机译:基于利息指标推荐实体的系统和方法

摘要

Entities such as hotels, restaurants, resorts, houses, vehicles, and other places and things, are associated with images of each entity. The images are tagged using machine learning to identify what aspects of the associated entity are captured by each image. When a user is requested to select an entity from a set of entities, a user preference model is used to determine what tags the user is interested in. The tags are used to select images associated with the entities from the set of entities, and the selected images are displayed to the user. The user can then provide indicators that show which of the displayed images the user likes or dislikes. Based on the indicators, one or more entities from the set of entities is presented to the user. The model may also be updated based on the indicators.
机译:酒店,餐馆,度假村,房屋,车辆等各个场所以及其他地点以及每个实体的图像相关联。 使用机器学习标记图像以确定每个图像捕获相关实体的哪些方面。 当请求用户从一组实体中选择实体时,使用用户偏好模型来确定用户对其感兴趣的原因。标签用于从各组实体中选择与实体相关联的图像。 选择的图像显示给用户。 然后,用户可以提供指示器,其显示用户喜欢或不喜欢的显示图像中的哪一个。 基于指示器,向用户呈现来自该集合集的一个或多个实体。 还可以基于指示符更新该模型。

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