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公开(公告)号：US09477713B2
公开(公告)日：2016-10-25
申请号：US14298765
申请日：2014-06-06
Applicant: Netflix, Inc.
Inventor： Christopher Alvino , Carlos Gomez-Uribe , Che Hammond , Janis Stipins, III
CPC classification number: G06F17/3053 , G06F17/30554 , G06F17/30864 , G06Q30/02 , G06Q30/0631
Abstract: Techniques for selecting and ordering groups of titles to present as recommendations. In one embodiment, for example, a method performed by one or more computing devices of an online services comprises selecting, for each of a plurality of row positions, a group of titles to fill the row position based at least in part on a relevance score computed for the group of titles. The relevance score is based at least in part on a personalized ranking for a particular user of titles in the groups in titles selected to fill the row positions. The groups of titles selected to fill to the row positions are presented as recommendations to the particular user as a sequence of rows in which each row in the sequence corresponds to one of the selected groups of titles.
Abstract translation: 用于选择和排序标题组的技术作为建议呈现。 在一个实施例中，例如，由在线服务的一个或多个计算设备执行的方法包括：针对多个行位置中的每一个选择一组标题以至少部分地基于相关性得分填充行位置 为标题组计算。 相关性分数至少部分地基于用于填充行位置的标题中的组中的标题的特定用户的个性化排名。 被选择以填充到行位置的标题组作为推荐给予特定用户作为一系列行，其中序列中的每一行对应于所选择的标题组之一。
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公开(公告)号：US10698909B2
公开(公告)日：2020-06-30
申请号：US15299301
申请日：2016-10-20
Applicant: NETFLIX, INC.
Inventor： Christopher Alvino , Carlos Gomez-Uribe , Che Hammond , Janis Stipins, III
IPC: G06F16/00 , G06F16/2457 , G06F16/248 , G06F16/951 , G06Q30/02 , G06Q30/06
Abstract: Techniques for selecting and ordering groups of titles to present as recommendations. In one embodiment, for example, a method performed by one or more computing devices of an online services comprises selecting, for each of a plurality of row positions, a group of titles to fill the row position based at least in part on a relevance score computed for the group of titles. The relevance score is based at least in part on a personalized ranking for a particular user of titles in the groups in titles selected to fill the row positions. The groups of titles selected to fill to the row positions are presented as recommendations to the particular user as a sequence of rows in which each row in the sequence corresponds to one of the selected groups of titles.
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公开(公告)号：US10360508B1
公开(公告)日：2019-07-23
申请号：US14826074
申请日：2015-08-13
Applicant: Netflix, Inc.
Inventor： Carlos Gomez-Uribe , Vijay Bharadwaj , Antonio Molins Jiménez
Abstract: A data processing method comprises receiving title interaction data, wherein the title interaction data specifies, an order in which users interacted with a plurality of titles; generating a plurality of statistical models, each statistical model of the plurality of statistical models specifying a plurality of probabilities, wherein the plurality of probabilities represent, for each first title of the plurality of titles and each second title of the plurality of titles, a likelihood that a user will interact with the first title then next interact with the second title; refining the plurality of statistical models based on the title interaction data; determining a plurality of weight values corresponding to the plurality of statistical models for a particular user; identifying, for the particular user, one or more recommended titles of the plurality of titles based on the plurality of weight values and the plurality of statistical models.
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公开(公告)号：US20150356087A1
公开(公告)日：2015-12-10
申请号：US14298765
申请日：2014-06-06
Applicant: Netflix, Inc.
Inventor： Christopher Alvino , Carlos Gomez-Uribe , Che Hammond , Janis Stipins, III
IPC: G06F17/30
CPC classification number: G06F17/3053 , G06F17/30554 , G06F17/30864 , G06Q30/02 , G06Q30/0631
Abstract: Techniques for selecting and ordering groups of titles to present as recommendations. In one embodiment, for example, a method performed by one or more computing devices of an online services comprises selecting, for each of a plurality of row positions, a group of titles to fill the row position based at least in part on a relevance score computed for the group of titles. The relevance score is based at least in part on a personalized ranking for a particular user of titles in the groups in titles selected to fill the row positions. The groups of titles selected to fill to the row positions are presented as recommendations to the particular user as a sequence of rows in which each row in the sequence corresponds to one of the selected groups of titles.
Abstract translation: 用于选择和排序标题组的技术作为建议呈现。 在一个实施例中，例如，由在线服务的一个或多个计算设备执行的方法包括：针对多个行位置中的每一个选择一组标题以至少部分地基于相关性得分填充行位置 为标题组计算。 相关性分数至少部分地基于用于填充行位置的标题中的组中的标题的特定用户的个性化排名。 被选择以填充到行位置的标题组作为推荐给予特定用户作为一系列行，其中序列中的每一行对应于所选择的标题组之一。
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Patent Agency Ranking
公开(公告)号：US09338489B2
公开(公告)日：2016-05-10
申请号：US14259784
申请日：2014-04-23
Applicant: Netflix, Inc.
Inventor： Angadh Singh , Carlos Gomez-Uribe
IPC: H04N21/25 , H04N21/258 , H04N21/61 , H04N21/262 , H04N21/2668
CPC classification number: H04N21/252 , H04N21/251 , H04N21/25891 , H04N21/26258 , H04N21/2668 , H04N21/4825 , H04N21/4826 , H04N21/6125
Abstract: In an approach, a method comprises using a server computer in a media content delivery system that is configured to selectively deliver a particular media title from among a library of titles, for a source title, generating title data that specifies an order of a plurality of titles that are related to the source title based on a plurality of stored probability values; wherein each probability value in the plurality of probability values represents, for each particular title of the plurality of titles, a likelihood of selecting the particular title after playing the source title; using the server computer, receiving title impression data, wherein the title impression data specifies a plurality of browsed titles that were browsed from among the plurality of titles but may have not been selected for interaction; using the server computer, receiving title interaction data, wherein the title interaction data specifies a plurality of selected titles that were selected for interaction from the plurality of browsed titles; based on the title interaction data, the title impression data and a statistical model, re-calculating the plurality of probabilities.
Abstract translation: 在一种方法中，一种方法包括在媒体内容传送系统中使用服务器计算机，该服务器计算机被配置为从源标题库中选择性地传递特定媒体标题，生成指定多个 基于多个存储的概率值与源标题相关的标题; 其中所述多个概率值中的每个概率值对于所述多个标题的每个特定标题表示在播放所述源标题之后选择所述特定标题的可能性; 使用所述服务器计算机，接收标题印象数据，其中所述标题印象数据指定从所述多个标题中浏览的多个浏览标题，但是可能还没有被选择用于交互; 使用所述服务器计算机，接收标题交互数据，其中所述标题交互数据指定从所述多个浏览的标题中选择用于交互的多个所选择的标题; 基于标题交互数据，标题印象数据和统计模型，重新计算多个概率。
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公开(公告)号：US09129214B1
公开(公告)日：2015-09-08
申请号：US13829064
申请日：2013-03-14
Applicant: NETFLIX, INC.
Inventor： Carlos Gomez-Uribe , Vijay Bharadwaj , Antonio Molins Jiménez
CPC classification number: G06N7/005
Abstract: In an approach, a method comprises receiving title interaction data, wherein the title interaction data specifies, an order in which users interacted with a plurality of titles; generating a plurality of statistical models, each statistical model of the plurality of statistical models specifying a plurality of probabilities, wherein the plurality of probabilities represent, for each first title of the plurality of titles and each second title of the plurality of titles, a likelihood that a user will interact with the first title then next interact with the second title; refining the plurality of statistical models based on the title interaction data; determining a plurality of weight values corresponding to the plurality of statistical models for a particular user; identifying, for the particular user, one or more recommended titles of the plurality of titles based on the plurality of weight values and the plurality of statistical models.
Abstract translation: 在一种方法中，一种方法包括接收标题交互数据，其中标题交互数据指定用户与多个标题交互的顺序; 生成多个统计模型，所述多个统计模型的每个统计模型指定多个概率，其中，对于所述多个标题的每个第一标题和所述多个标题的每个第二标题，所述多个概率表示所述多个概率的概率， 用户将与第一标题交互，然后与第二标题交互; 基于标题交互数据来提炼多个统计模型; 确定对于特定用户对应于所述多个统计模型的多个权重值; 基于所述多个权重值和所述多个统计模型，为所述特定用户识别所述多个标题中的一个或多个推荐标题。
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公开(公告)号：US10405016B2
公开(公告)日：2019-09-03
申请号：US15791392
申请日：2017-10-23
Applicant: NETFLIX, INC.
Inventor： Angadh Singh , Carlos Gomez-Uribe
IPC: G06F3/00 , G06F13/00 , H04N5/445 , H04N21/25 , H04N21/258 , H04N21/61 , H04N21/262 , H04N21/2668 , H04N21/482
Abstract: In an approach, a method comprises using a server computer in a media content delivery system that is configured to selectively deliver a particular media title from among a library of titles, for a source title, generating title data that specifies an order of a plurality of titles that are related to the source title based on a plurality of stored probability values; wherein each probability value in the plurality of probability values represents, for each particular title of the plurality of titles, a likelihood of selecting the particular title after playing the source title; using the server computer, receiving title impression data, wherein the title impression data specifies a plurality of browsed titles that were browsed from among the plurality of titles but may have not been selected for interaction; using the server computer, receiving title interaction data, wherein the title interaction data specifies a plurality of selected titles that were selected for interaction from the plurality of browsed titles; based on the title interaction data, the title impression data and a statistical model, re-calculating the plurality of probabilities.
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公开(公告)号：US09800910B2
公开(公告)日：2017-10-24
申请号：US15136846
申请日：2016-04-22
Applicant: Netflix, Inc.
Inventor： Angadh Singh , Carlos Gomez-Uribe
IPC: H04N21/25 , H04N21/258 , H04N21/61 , H04N21/262 , H04N21/2668 , H04N21/482
CPC classification number: H04N21/252 , H04N21/251 , H04N21/25891 , H04N21/26258 , H04N21/2668 , H04N21/4825 , H04N21/4826 , H04N21/6125
Abstract: In an approach, a method comprises using a server computer in a media content delivery system that is configured to selectively deliver a particular media title from among a library of titles, for a source title, generating title data that specifies an order of a plurality of titles that are related to the source title based on a plurality of stored probability values; wherein each probability value in the plurality of probability values represents, for each particular title of the plurality of titles, a likelihood of selecting the particular title after playing the source title; using the server computer, receiving title impression data, wherein the title impression data specifies a plurality of browsed titles that were browsed from among the plurality of titles but may have not been selected for interaction; using the server computer, receiving title interaction data, wherein the title interaction data specifies a plurality of selected titles that were selected for interaction from the plurality of browsed titles; based on the title interaction data, the title impression data and a statistical model, re-calculating the plurality of probabilities.
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公开(公告)号：US09454530B2
公开(公告)日：2016-09-27
申请号：US13644548
申请日：2012-10-04
Applicant: NETFLIX Inc.
Inventor： Mohammad Sabah , Carlos Gomez-Uribe , Vijay Bharadwaj , Sasi Parthasarathy , Siddharth Angrish
CPC classification number: G06F17/30029
Abstract: Techniques are described for determining relationships between user activities and determining search results and content recommendations based on the relationships. A plays-related-to-searches application may determine a relationship score between plays of a media title and searches of a query by determining a distance between a projection of the search onto the space of the users and a projection of plays of the media title onto the space of the users. A plays-after-searches application may determine a score for plays of the streaming media title given the search by multiplying a number of times plays of the media title occur after the query is entered by the number of times any play occurs, and dividing by a product of the number of times plays of the media title occur after any query is entered and the number of times plays of any media title occur after the query is entered.
Abstract translation: 描述了用于确定用户活动之间的关系并基于关系确定搜索结果和内容推荐的技术。 戏剧相关搜索应用可以通过确定搜索的投影到用户的空间和媒体标题的播放的投影之间的距离来确定媒体标题的播放与查询的搜索之间的关系得分 到用户的空间。 播放后搜索应用程序可以通过乘以在查询输入之后出现的媒体标题的播放次数乘以发生任何播放的次数，并且除以 媒体标题的播放次数的产物在输入任何查询后发生，并且在输入查询后发生任何媒体标题的播放次数。
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