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RECOMMENDING RECENTLY OBTAINED CONTENT TO ONLINE SYSTEM USERS BASED ON CHARACTERISTICS OF OTHER USERS INTERACTING WITH THE RECENTLY OBTAINED CONTENT
RECOMMENDING RECENTLY OBTAINED CONTENT TO ONLINE SYSTEM USERS BASED ON CHARACTERISTICS OF OTHER USERS INTERACTING WITH THE RECENTLY OBTAINED CONTENT
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机译:根据其他用户与最近获得的内容进行交互的特性,向在线系统用户推荐最近获得的内容
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摘要
An online system that recommends content to a user obtains a content item and receives limited interaction with the content item when it is obtained. The online system also maintains embeddings for various users based on interactions by the users with content presented to the users. Viewing users to whom the content item is presented and who performed one or more interactions with the content item are identified. Based on embeddings for the viewing users, the online system generates a content embedding for the content item. When the online system identifies a candidate user, the online system determines a similarity between the content embedding and an embedding of the viewing user and determines whether to recommend the content item to the candidate user based on the comparison.
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