Content sharing collections and navigation

    公开(公告)号:US10198590B2

    公开(公告)日:2019-02-05

    申请号:US14938724

    申请日:2015-11-11

    Abstract: Content creation collection and navigation techniques and systems are described. In one example, a representative image is used by a content sharing service to interact with a collection of images provided as part of a search result. In another example, a user interface image navigation control is configured to support user navigation through images based on one or more metrics. In a further example, a user interface image navigation control is configured to support user navigation through images based on one or more metrics identified for an object selected from the image. In yet another example, collections of images are leveraged as part of content creation. In another example, data obtained from a content sharing service is leveraged to indicate suitability of images of a user for licensing as part of the service.

    Offer matching for a user segment

    公开(公告)号:US10078853B2

    公开(公告)日:2018-09-18

    申请号:US14925086

    申请日:2015-10-28

    CPC classification number: G06Q30/0269 G06Q30/0204 G06Q30/0251

    Abstract: User data and a plurality of micro-segment definitions are received. Each micro-segment definition in the plurality of micro-segment definitions corresponds to one or more offers in an offer provider campaign. Further, a each micro-segment definition from the plurality of micro-segment definitions is parsed into a plurality of parsed expression segments that indicate a plurality of micro-segment condition rules. The plurality of parsed expression segments are compiled into an executable object that indicates a plurality of instructions to determine if the user data matches the plurality of micro-segment definitions. Each micro-segment definition is processed to apply the plurality of micro-segment condition rules to the user data to determine a match of a user belonging to a micro-segment. Further, a score is assigned to indicate the strength of each match. In addition, each match is ranked according to the score for each match.

    METHOD AND APPARATUS FOR PROVIDING A RESPONSE TO AN INPUT POST ON A SOCIAL PAGE OF A BRAND
    5.
    发明申请
    METHOD AND APPARATUS FOR PROVIDING A RESPONSE TO AN INPUT POST ON A SOCIAL PAGE OF A BRAND 审中-公开
    在品牌的社会页面上提供对输入POST的响应的方法和装置

    公开(公告)号:US20160148325A1

    公开(公告)日:2016-05-26

    申请号:US14553292

    申请日:2014-11-25

    CPC classification number: G06Q50/01 G06Q30/0269

    Abstract: A method for providing a response to an input post on a social page of a brand is provided. The input post is detected upon posting of the input post on the social page of the brand. The social page is present on a social channel. An inquiry regarding the brand is identified from content of the input post. At least one social post is determined from already posted posts on one or more social channels based on the inquiry. The at least one social post is associated with the brand. A response post is created using the at least one social post. The response post addresses the inquiry. The response post is then posted on the social page of the social channel as a reply to the input post. An apparatus for performing the method as described herein is also provided.

    Abstract translation: 提供了一种用于在品牌的社交页面上向输入文章提供响应的方法。 在品牌的社交页面上发布输入帖子时,会检测到输入信息。 社交页面存在于社交频道上。 关于品牌的询问是从输入帖子的内容中识别的。 基于查询,至少一个社会职位是从一个或多个社交渠道上已发布的帖子确定的。 至少一个社会职位与品牌相关联。 使用至少一个社交帖子创建回复帖子。 回复邮件涉及查询。 然后将回复帖子张贴在社交频道的社交页面上,作为对输入帖子的回复。 还提供了一种用于执行如本文所述的方法的装置。

    Structured Knowledge Modeling and Extraction from Images

    公开(公告)号:US20170132526A1

    公开(公告)日:2017-05-11

    申请号:US14978350

    申请日:2015-12-22

    CPC classification number: G06F17/2785 G06N3/0454 G06N5/022

    Abstract: Techniques and systems are described to model and extract knowledge from images. A digital medium environment is configured to learn and use a model to compute a descriptive summarization of an input image automatically and without user intervention. Training data is obtained to train a model using machine learning in order to generate a structured image representation that serves as the descriptive summarization of an input image. The images and associated text are processed to extract structured semantic knowledge from the text, which is then associated with the images. The structured semantic knowledge is processed along with corresponding images to train a model using machine learning such that the model describes a relationship between text features within the structured semantic knowledge. Once the model is learned, the model is usable to process input images to generate a structured image representation of the image.

    Image Search using Emotions
    10.
    发明申请

    公开(公告)号:US20170132290A1

    公开(公告)日:2017-05-11

    申请号:US14938752

    申请日:2015-11-11

    CPC classification number: G06N3/08 G06F16/5854 G06N5/022 G06N20/00

    Abstract: Image search techniques and systems involving emotions are described. In one or more implementations, a digital medium environment of a content sharing service is described for image search result configuration and control based on a search request that indicates an emotion. The search request is received that includes one or more keywords and specifies an emotion. Images are located that are available for licensing by matching one or more tags associated with the image with the one or more keywords and as corresponding to the emotion. The emotion of the images is identified using one or more models that are trained using machine learning based at least in part on training images having tagged emotions. Output is controlled of a search result having one or more representations of the images that are selectable to license respective images from the content sharing service.

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