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公开(公告)号：EP3281126A1
公开(公告)日：2018-02-14
申请号：EP16718795.4
申请日：2016-04-08
CPC分类号： G06N5/04 , G06N99/005 , G06Q30/02 , H04L67/22
摘要： Surfacing relevant and predictively trending digital entities to a user in a content feed is provided. Aspects of a predictive trending system use one or more predictive models, such as neural networks or regression models, to generate predictive trending scores of digital entities (e.g., documents, people, electronic communications, meetings, locations, digital images, digital videos, digital audio, etc.) based on historical scores and context. By taking into account trends and context, the predictive trending system calculates future trending scores of digital entities, and determines which digital entities are both relevant to a given user and likely to be trending around the user and the people in the user's network in the future. The predictive trending system curates the digital entities determined to be relevant and predicted to be trending around the user, and presents the digital entities in a content feed.
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