阅读说明：本技术 基于内容中包括的项目图像来更新在线系统用户的简档 (Updating a profile of an online system user based on item images included in content ) 是由 史蒂夫·莫林 欧阳雪薇 马丁·姆罗兹 阿努杰·马登 于 2021-05-21 设计创作，主要内容包括：本申请涉及基于内容中包括的项目的图像来更新在线系统用户的简档。在线系统从内容提供用户接收包括图像的内容项和/或从观看用户接收与内容项的交互。在线系统访问机器学习模型,该机器学习模型基于与实体相关联的项目的一组图像和每个图像的属性而被训练。在线系统应用该模型以基于在内容项中包括的图像的属性来预测内容项包括与实体相关联的项目的图像的概率。基于所预测的概率,在线系统更新用户(即,内容提供用户和/或观看用户)的简档以包括对项目的亲和力。在确定向用户呈现内容的机会时,在线系统基于简档来选择内容用于呈现给用户,并发送内容用于呈现给用户。(The present application relates to updating a profile of an online system user based on an image of an item included in content. The online system receives a content item including an image from a content providing user and/or receives an interaction with the content item from a viewing user. The online system accesses a machine learning model that is trained based on a set of images and attributes of each image of an item associated with the entity. The online system applies the model to predict a probability that the content item includes an image of an item associated with the entity based on attributes of the image included in the content item. Based on the predicted probabilities, the online system updates the profile of the user (i.e., the content providing user and/or the viewing user) to include an affinity for the item. In determining an opportunity to present content to a user, the online system selects content for presentation to the user based on the profile and sends the content for presentation to the user.)