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    Automatic software defect repair
    1.
    发明授权
    Automatic software defect repair 有权

    公开(公告)号：US11157390B2

    公开(公告)日：2021-10-26

    申请号：US16456109

    申请日：2019-06-28

    申请人： International Business Machines Corporation

    发明人： Ajoy Acharyya ,  Arijit Roy

    IPC分类号： G06F11/36 ,  G06F11/34 ,  G06F9/445 ,  G06F8/65

    摘要： Disclosed embodiments provide techniques for automatic software defect correction of a computer program. Computer program log files are scanned to identify runtime errors, corresponding to software defects. The software defects are analyzed to determine an error type, and identify the source file/code that caused the error. A solution template repository is searched for a solution template corresponding to the identified error type. If a solution template is found, the source code is checked out from the identified source repository. The template is applied to the “original” checked out source file to create a new source file with the fix, which is then uploaded back to the repository. A new software distribution is automatically built with the new source file, and the new software distribution is automatically deployed to the devices that experienced the error. Thus, defects can be automatically detected, repaired, and deployed without human intervention.

    CROSS-RETAIL MARKETING BASED ON ANALYTICS OF MULTICHANNEL CLICKSTREAM DATA
    2.
    发明申请
    CROSS-RETAIL MARKETING BASED ON ANALYTICS OF MULTICHANNEL CLICKSTREAM DATA 审中-公开
    基于多通道CLICKSTREAM数据分析的零售市场营销

    公开(公告)号：US20150088598A1

    公开(公告)日：2015-03-26

    申请号：US14034649

    申请日：2013-09-24

    申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

    发明人： Ajoy Acharyya ,  AJAY KUMAR BEHURIA ,  James E. Bostick ,  John M. Ganci, JR. ,  Tanambam D. Sinha ,  Craig M. Trim

    IPC分类号： G06Q30/00

    CPC分类号： G06Q30/00

    摘要： A method and associated system of cross-retail marketing based on analysis of multichannel clickstream data that comprises a client application capturing, aggregating, and analyzing multiple clickstreams of a user. These clickstreams may be captured from multiple unrelated or competing sales or distribution channels and from multiple electronic platforms. The analysis may use methods of artificial intelligence, text analytics, semantic analytics, or other analytical methods to infer characteristics of the user, of the user's online commercial behavior and other commercial activities, and of products or services that the user may be interested in purchasing. The output of this analysis is forwarded to other channels or platforms visited by the user in order to allow those other channels or platforms to perform targeted commercial marketing functions related to the user's prior activities. In preferred embodiments, this method may be require an active consent or other authorization from the user.

    摘要翻译： 基于分析多通道点击流数据的跨零售营销的方法和相关系统，其包括客户端应用程序捕获，聚合和分析用户的多个点击流。 这些点击流可以从多个不相关或竞争的销售或分销渠道和多个电子平台中获取。 分析可以使用人造智能，文本分析，语义分析或其他分析方法来推断用户的特征，用户的在线商业行为和其他商业活动以及用户可能感兴趣购买的产品或服务的方法 。 该分析的输出转发给用户访问的其他渠道或平台，以便允许其他渠道或平台执行与用户先前活动相关的目标商业营销功能。 在优选实施例中，该方法可能需要用户的主动同意或其他授权。

    DYNAMIC ANALYTICS CONTROLLED INFORMATION DISSEMINATION IN SOCIAL MEDIA
    7.
    发明申请
    DYNAMIC ANALYTICS CONTROLLED INFORMATION DISSEMINATION IN SOCIAL MEDIA 有权
    动态分析控制信息在社会媒体中的传播

    公开(公告)号：US20160248719A1

    公开(公告)日：2016-08-25

    申请号：US14629771

    申请日：2015-02-24

    申请人： International Business Machines Corporation

    发明人： Ajoy Acharyya ,  James E. Bostick ,  John M. Ganci, JR. ,  Souvik Majumdar ,  Shuvamoy Saha ,  Craig M. Trim

    IPC分类号： H04L12/58 ,  G06F17/27

    CPC分类号： H04L51/32 ,  G06F17/2785 ,  H04L51/14

    摘要： A method, system, and computer program product for selectively disseminating content in social media are provided in the illustrative embodiments. Prior to a dissemination of the content, the content being prepared for the dissemination is detected. Using Natural Language Processing (NLP), the content is analyzed to identify a theme and a subject matter of the content. A set of data comprising data related to a set of social connections of a user in the social media is analyzed. A second theme resulting from analyzing a first data in the set of data is compared with the theme, the first data corresponding to a first social connection in the set of social connections. When the second theme matches the theme within a threshold, the first social connection is added to a selected sharing group. The content is disseminated to the selected sharing group.

    摘要翻译： 在说明性实施例中提供了用于在社交媒体中选择性地传播内容的方法，系统和计算机程序产品。 在传播内容之前，检测正在准备传播的内容。 使用自然语言处理（NLP），分析内容以识别内容的主题和主题。 分析包括与社交媒体中的用户的一组社交连接相关的数据的一组数据。 将分析数据集中的第一数据所产生的第二主题与主题进行比较，第一数据对应于一组社交连接中的第一社交连接。 当第二个主题与阈值内的主题相匹配时，第一个社交连接将添加到所选的共享组。 内容被传播到所选的共享组。