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    • 7. 发明申请
    • PREDICTIVE TRENDING OF DIGITAL ENTITIES
    • 数字实体的预测趋势
    • US20160300141A1
    • 2016-10-13
    • US14683499
    • 2015-04-10
    • Microsoft Technology Licensing, LLC.
    • Narasimha Raghavan VeeraragavanBjorn OlstadHelge Grenager Solheim
    • G06N5/04H04L29/08G06N99/00
    • G06N5/04G06N99/005G06Q30/02H04L67/22
    • 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.
    • 提供了将相关和预测趋势的数字实体呈现给内容Feed中的用户。 预测趋势系统的方面使用一个或多个预测模型,例如神经网络或回归模型来产生数字实体的预测趋势分数(例如,文档,人,电子通信,会议,位置,数字图像,数字视频,数字 音频等),基于历史得分和语境。 通过考虑趋势和环境,预测趋势系统计算数字实体的未来趋势分数,并确定哪些数字实体与给定用户相关,并且可能在将来在用户和用户的网络中的用户和用户的趋势 。 预测趋势系统策划确定为相关并预测为用户周围趋势的数字实体,并将数字实体呈现在内容Feed中。