Machine learning based list recommendations

    公开(公告)号:US10902341B1

    公开(公告)日:2021-01-26

    申请号:US15190058

    申请日:2016-06-22

    Abstract: A machine learning engine may correlate user profile data and/or list item data with a service provider action that may lead to a particular user action with respect to a list item (e.g., a task item of a to-do list, a content item of a content item queue, etc.). For example, a task item performance application may process user profile data and/or task item profile data to generate training data. In addition, the machine learning engine may generate a task item performance model using the training data by identifying indicators that correlate with the particular user action. Additionally, the task item performance application may then use the task item performance model to suggest actions that may be performed by a service provider to increase the likelihood of the user performing the particular user action with respect to the list item. Further, the machine learning engine may also determine weights for individual indicators.

    Process and machine for media determination using product information

    公开(公告)号:US10922732B1

    公开(公告)日:2021-02-16

    申请号:US14870689

    申请日:2015-09-30

    Abstract: Recommendations for media assets based on product similarities are provided. In some embodiments, a recommendation can be determined using asset-to-asset similarity information that can be obtained by mapping media assets to products and further mapping products to media assets based at least on the prior mapping. In addition, product similarity information can be leveraged to generate groups of media assets for different categories of similarity present in the product similarity information. Such groups can be identified, for example, by using the mapped products to media assets as applied to the different categories. Further a diverse arrangement of media assets can be generated by selecting media assets from the groups according to a defined selection rule.

    Content localization
    5.
    发明授权

    公开(公告)号:US09881002B1

    公开(公告)日:2018-01-30

    申请号:US14219934

    申请日:2014-03-19

    CPC classification number: G06F17/28 G06Q30/0601 G06T11/60

    Abstract: A localization service may be provided to manage distribution of content including text overlays according to language codes. In some examples, the language codes include regional identifiers and language identifiers. The localization service may provide the content including translated text overlays for reproduction by client devices in accordance with descriptive data associated with the images. In some examples, the descriptive data may describe the text overlays, placement of the text overlays with respect to the content, and characteristics of the text overlays.

    Conversational bot to navigate upwards in the funnel

    公开(公告)号:US10558693B1

    公开(公告)日:2020-02-11

    申请号:US15451161

    申请日:2017-03-06

    Abstract: Described herein are a system and methods for providing relevant search results to a user using an automated user assistant to update filters used as search parameters. In some embodiments, an automated user assistant may initiate a conversation with a user detected interacting with an item. The user may provide feedback that indicates one or more attributes relevant to the user's interests with respect to the currently viewed item. In some embodiments, the user may also provide an indication of how values associated with those attributes would be made more relevant to the user. Various filters associated with the attributes may be updated based on the received user feedback. The updated filters may then be provided as search parameters to a search engine. A set of search results returned by the search engine may be provided to the user.

    Embedded manifests for content streaming
    7.
    发明授权
    Embedded manifests for content streaming 有权
    嵌入式内容流清单

    公开(公告)号:US09578395B1

    公开(公告)日:2017-02-21

    申请号:US14501641

    申请日:2014-09-30

    Abstract: Techniques are described for providing rendition manifests for the playback of video content or other types of content on a user device. The response to a request for content may serially include data objects for one or more rendition manifests as Data Uniform Resource Indicators (URIs) or in another data format. By incorporating the data of the rendition manifest(s) in the response, implementations may forego a network request to retrieve the rendition manifest(s) and thus reduce the latency for presenting content. In some cases, the incorporated rendition manifest(s) may list locations for a subset of chunks of a content file, and the content may be marked as live content, to reduce the size of the response and further reduce latency. In some cases, locations for chunks from multiple content files may be included in a same set of one or more rendition manifests in the response.

    Abstract translation: 描述了用于提供用于在用户设备上播放视频内容或其他类型的内容的再现清单的技术。 对内容请求的响应可以串行地包括用于一个或多个再现清单的数据对象作为数据统一资源指示符(URI)或另一数据格式。 通过将再现清单的数据合并到响应中,实现可以放弃网络请求来检索再现清单,从而减少呈现内容的延迟。 在一些情况下,所合并的再现表单可以列出内容文件的块的子集的位置,并且可以将内容标记为实况内容,以减小响应的大小并进一步减少等待时间。 在一些情况下,来自多个内容文件的块的位置可以包括在响应中的一个或多个再现清单的相同集合中。

    MEDIA LIBRARY ANALYZER
    8.
    发明申请
    MEDIA LIBRARY ANALYZER 审中-公开
    媒体图书馆分析员

    公开(公告)号:US20160328136A1

    公开(公告)日:2016-11-10

    申请号:US15200415

    申请日:2016-07-01

    Abstract: Disclosed are various embodiments analyzing a user's interaction with his or her music library. The system generates a time series by tracking a plurality of instances of music library interaction between a user and a music library. The system also determines a distribution expressed in the time series, the distribution indicating a trend of playing a set of audio items for a particular period of time, the set of audio items being associated with a class, wherein a timestamp corresponds to an occurrence of the trend. The system associates the distribution with a triggering event and generates a recommendation according to the class in response to the triggering event.

    Abstract translation: 公开了分析用户与他或她的音乐库的交互的各种实施例。 该系统通过跟踪用户和音乐库之间的音乐库交互的多个实例来生成时间序列。 该系统还确定在时间序列中表示的分布,该分布指示在特定时间段内播放一组音频项目的趋势,该组音频项目与一个类别相关联,其中时间戳对应于 趋势。 系统将分发与触发事件相关联,并根据触发事件根据类生成推荐。

    Offline video advertising
    10.
    发明授权

    公开(公告)号:US10796345B1

    公开(公告)日:2020-10-06

    申请号:US14667913

    申请日:2015-03-25

    Abstract: Disclosed are various embodiments for offline advertisement presentation. Media items and advertisements are stored on a client device. During playback of the media item, in absence of a network connection, a stored advertisement is presented to a user. This may be facilitated by a proxy advertising service implemented in the client device.

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