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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:US10698944B2
公开(公告)日:2020-06-30
申请号:US13801646
申请日:2013-03-13
Applicant: Netflix, Inc.
Inventor: Janis Stipins, III
Abstract: Techniques are described for generating search results and content recommendations using a distance metric on a space of media titles. In one embodiment, each media title may be associated with metadata tags and represented by a vector which indicates those associated tags. The distance metric may measure distance as an angle between vectors representing media titles in a bent vector space that accounts for correlations between tags. Further, a non-linear scaling may be applied to the vectors representing media titles to correct for under-tagging and redundant tagging. Based on the distance metric, a search or recommendation application may generate search results and/or content recommendations and cause the same to be presented to a user.
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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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