SELECTING AND ORDERING GROUPS OF TITLES
    1.
    发明申请
    SELECTING AND ORDERING GROUPS OF TITLES 审中-公开
    选择和订购标题组

    公开(公告)号:US20170039199A1

    公开(公告)日:2017-02-09

    申请号:US15299301

    申请日:2016-10-20

    Applicant: NETFLIX, INC.

    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。

    SEARCHES AND RECOMMENDATIONS USING DISTANCE METRIC ON SPACE OF MEDIA TITLES
    2.
    发明申请
    SEARCHES AND RECOMMENDATIONS USING DISTANCE METRIC ON SPACE OF MEDIA TITLES 审中-公开
    使用距离公制对媒体标题空间的搜索和建议

    公开(公告)号:US20140280101A1

    公开(公告)日:2014-09-18

    申请号:US13801646

    申请日:2013-03-13

    Applicant: NETFLIX, INC.

    CPC classification number: G06F16/48 G06F16/3347

    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.

    Abstract translation: 描述了使用媒体标题空间上的距离度量来生成搜索结果和内容建议的技术。 在一个实施例中,每个媒体标题可以与元数据标签相关联,并由指示这些相关标签的向量表示。 距离度量可以将距离测量为表示折叠向量空间中的媒体标题的矢量之间的角度,其考虑到标签之间的相关性。 此外,可以将非线性缩放应用于表示媒体标题的向量,以校正欠标签和冗余标记。 基于距离度量,搜索或推荐应用可以生成搜索结果和/或内容推荐,并且使得其被呈现给用户。

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