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公开(公告)号：US10419376B2
公开(公告)日：2019-09-17
申请号：US15384082
申请日：2016-12-19
Applicant: Google Inc.
Inventor： Kiley McEvoy , Robert Saliba , Roee Livne , Sarvjeet Singh
Abstract: An indication of a content item being provided to a channel of a content item sharing platform may be received. Users associated with the channel of the content item sharing platform may be identified. Classifications of feedback of the users that are based on evaluations of the feedback from the plurality of users for other content items on the content item sharing platform may be received. A first portion of the plurality of users associated with a first classification indicating a higher rating than a second portion of the plurality of users associated with a second classification indicating a lower rating may be identified. Notifications identifying the content item may be sent to the first portion of the plurality of users associated with the first classification indicating the higher rating before the second portion associated with the second classification indicating the lower rating.
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公开(公告)号：US20180176273A1
公开(公告)日：2018-06-21
申请号：US15384082
申请日：2016-12-19
Applicant: Google Inc.
Inventor： Kiley McEvoy , Robert Saliba , Roee Livne , Sarvjeet Singh
CPC classification number: H04L51/12 , G06Q10/107 , G06Q50/01 , H04L51/24 , H04L51/32
Abstract: An indication of a content item being provided to a channel of a content item sharing platform may be received. Users associated with the channel of the content item sharing platform may be identified. Classifications of feedback of the users that are based on evaluations of the feedback from the plurality of users for other content items on the content item sharing platform may be received. A first portion of the plurality of users associated with a first classification indicating a higher rating than a second portion of the plurality of users associated with a second classification indicating a lower rating may be identified. Notifications identifying the content item may be sent to the first portion of the plurality of users associated with the first classification indicating the higher rating before the second portion associated with the second classification indicating the lower rating.
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公开(公告)号：US10115146B1
公开(公告)日：2018-10-30
申请号：US14688691
申请日：2015-04-16
Applicant: GOOGLE INC.
Inventor： John Roberts Anderson , Ryan Michael Rifkin , Jay Yagnik , Rasmus Larsen , Sarvjeet Singh , Yi-Fan Chen , Anandsudhakar Kesari
Abstract: Implementations include systems and methods for scoring candidates for set recommendation problems. An example method includes repeating, for each code in code arrays for items in a set of items, determining a most common value for the code. In some implementations, the method includes determining that the most common value occurs with a frequency that meets an occurrence threshold and adding the code and the most common value to set-inclusion criteria. In other implementations, the method includes determining a value for the code from a code array for a seed item and adding the code and the most common value to set-inclusion criteria when the value for the code from the code array for the seed item matches the most common value. The method may also include evaluating a similarity with a candidate item based on the set-inclusion criteria and basing a recommendation regarding the candidate item on the similarity.
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公开(公告)号：US20150170035A1
公开(公告)日：2015-06-18
申请号：US14096815
申请日：2013-12-04
Applicant: GOOGLE INC.
Inventor： Sarvjeet Singh , John Roberts Anderson , Ryan Michael Rifkin
IPC: G06N5/02
CPC classification number: G06N5/022
Abstract: A user model may be generated using affinity and exposure values for each item a user interacts with in an embedded space. The user model may include exemplars which may refer to representative items in the embedded space. Based on the user model, a recommendation of items may be provided to the user. A truncated form of the user model and/or the recommended items may be sent to the user's mobile device.
Abstract translation: 可以使用用户在嵌入式空间中交互的每个项目的亲和度和曝光值来生成用户模型。 用户模型可以包括可以参考嵌入空间中的代表性项目的示例。 基于用户模型，可以向用户提供项目的推荐。 可以将用户模型和/或推荐项目的截断形式发送到用户的移动设备。
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