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    TRAINING A CLASSIFIER ALGORITHM USED FOR AUTOMATICALLY GENERATING TAGS TO BE APPLIED TO IMAGES
    1.
    发明申请
    TRAINING A CLASSIFIER ALGORITHM USED FOR AUTOMATICALLY GENERATING TAGS TO BE APPLIED TO IMAGES 有权
    训练用于自动生成要应用于图像的标签的分类器算法

    公开(公告)号：US20160379091A1

    公开(公告)日：2016-12-29

    申请号：US14747877

    申请日：2015-06-23

    Applicant: Adobe Systems Incorporated

    Inventor： Zhe Lin ,  Stefan Guggisberg ,  Jonathan Brandt ,  Michael Marth

    IPC: G06K9/62 ,  G06K9/52 ,  G06K9/66

    CPC classification number: G06K9/6256 ,  G06K9/00724 ,  G06K9/6262

    Abstract: This disclosure relates to training a classifier algorithm that can be used for automatically selecting tags to be applied to a received image. For example, a computing device can group training images together based on the training images having similar tags. The computing device trains a classifier algorithm to identify the training images as semantically similar to one another based on the training images being grouped together. The trained classifier algorithm is used to determine that an input image is semantically similar to an example tagged image. A tag is generated for the input image using tag content from the example tagged image based on determining that the input image is semantically similar to the tagged image.

    Abstract translation: 本公开涉及训练可用于自动选择要应用于接收到的图像的标签的分类器算法。 例如，计算设备可以基于具有相似标签的训练图像将训练图像组合在一起。 计算设备训练分类器算法，以基于训练图像被分组在一起来将训练图像识别为语义上彼此相似。 训练分类器算法用于确定输入图像在语义上类似于示例标记图像。 基于确定输入图像在语义上类似于带标签的图像，使用来自示例标记图像的标签内容为输入图像生成标签。

    METHODS AND SYSTEMS FOR RANKING SEARCH RESULTS VIA IMPLICIT QUERY DRIVEN ACTIVE LEARNING
    2.
    发明申请
    METHODS AND SYSTEMS FOR RANKING SEARCH RESULTS VIA IMPLICIT QUERY DRIVEN ACTIVE LEARNING 审中-公开

    公开(公告)号：US20170337200A1

    公开(公告)日：2017-11-23

    申请号：US15160743

    申请日：2016-05-20

    Applicant: Adobe Systems Incorporated

    Inventor： Tommaso Teofili ,  Michael Marth

    IPC: G06F17/30

    CPC classification number: G06F16/24578 ,  G06F16/248

    Abstract: Certain embodiments involve ranking search results from an information retrieval system using user query data to provide relevant search results to users of the information retrieval system. For example, a system determines a weight factor associated with a first user that provides a query to the information retrieval system based on a type or role of the first user. The system further determines a boost factor associated with the first user based on the weight factor and a number of consecutive search queries provided by the user. The system uses the boost factor to automatically tune a ranking algorithm to adjust a rank of a search result item resulting from a search query provided by a second user.

    SELF HEALING CLUSTER OF A CONTENT MANAGEMENT SYSTEM
    6.
    发明申请
    SELF HEALING CLUSTER OF A CONTENT MANAGEMENT SYSTEM 有权
    内容管理系统的自我治疗群

    公开(公告)号：US20150106327A1

    公开(公告)日：2015-04-16

    申请号：US14050847

    申请日：2013-10-10

    Applicant: Adobe Systems Incorporated

    Inventor： Michael Marth ,  Dominique Pfister ,  Thomas Müller Graf ,  Marcel Reutegger

    IPC: G06F11/14

    CPC classification number: G06F11/1425 ,  G06F11/0709 ,  G06F11/0793 ,  G06F11/1658 ,  G06F11/2028 ,  G06F11/2035 ,  G06F11/2046 ,  G06F11/2094 ,  H04L67/1095 ,  H04L67/1097 ,  H04L69/40

    Abstract: Systems and methods herein provide for a clustered content management comprising at least two computing nodes. A first node comprises an instance of the content repository. The first computing node may perform content management operations on its instance of the content repository. Changes to the instance of the content repository of the first computing node are synchronized with the content repository by way of a second computing node. The second computing node is communicatively coupled to the first computing node through a network and is operable to synchronize the change with the content repository. The second computing node also determines that synchronization of the change is blocked due to an error. The second computing node identifies the error, determines that the error is correctable, and corrects the error to synchronize the change with the content repository.

    Abstract translation: 这里的系统和方法提供了包括至少两个计算节点的集群内容管理。 第一节点包括内容存储库的实例。 第一计算节点可以对其内容存储库的实例执行内容管理操作。 通过第二计算节点对第一计算节点的内容存储库的实例的改变与内容存储库同步。 第二计算节点通过网络通信地耦合到第一计算节点，并且可操作以使改变与内容存储库同步。 第二计算节点还确定由于错误而使更改的同步被阻止。 第二个计算节点识别错误，确定错误是可修正的，并且纠正错误以使更改与内容存储库同步。

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