Reducing un-subscription rates for electronic marketing communications

    公开(公告)号:US10366400B2

    公开(公告)日:2019-07-30

    申请号:US14797806

    申请日:2015-07-13

    Abstract: Methods score users to determine if they will receive marketing communications sent to users on a subscription list. One method calculates an un-subscription score for a user based on: a degree of sentiment determined by identifying user interaction with a web page and assessing content of the interaction for indications of sentiment; or a degree of sentiment determined by identifying a user communication and assessing its content for indications of sentiment. Responsive to determining that the un-subscription score exceeds a threshold, the method excludes the user when sending the marketing communication to users on the subscription list. Another method calculates a degree of sentiment based on user interactions with a page and user communications, and calculates the user's un-subscription score based on the degree of sentiment. Responsive to comparing the un-subscription score with a threshold, the method excludes the user when sending the marketing communication to users on the list.

    AUTOMATIC CORRECTION OF FACIAL SENTIMENT OF PORTRAIT IMAGES

    公开(公告)号:US20180047137A1

    公开(公告)日:2018-02-15

    申请号:US15236700

    申请日:2016-08-15

    Abstract: Techniques are disclosed for correcting facial sentiment of digital images. Facial data captured in a target image is analyzed to obtain facial-based sentiment. A favored sentiment is determined based at least in part on the facial-based sentiment. The favored sentiment is then applied to at least one face included in the target image that doesn't reflect the favored sentiment. Analyzing facial data may include detecting facial landmarks that are good indicators of sentiment (e.g., eyes, mouth, eyebrows, jawline, and nose). Such landmarks can be processed, with supervised machine learning, to detect the corresponding facial sentiment. A favored sentiment of the target image is thus identified, and can be applied to one or more non-compliant faces in the target image. In some embodiments, the favored sentiment can be further based on a plurality of additional sentiment indicators, including geo data, text, and/or other images associated with the target image.

    DETERMINING CONTEXT AND MINDSET OF USERS
    49.
    发明申请
    DETERMINING CONTEXT AND MINDSET OF USERS 审中-公开
    确定用户的背景和最小值

    公开(公告)号:US20170017998A1

    公开(公告)日:2017-01-19

    申请号:US14802249

    申请日:2015-07-17

    Abstract: Embodiments of the present invention provide systems and methods for generating personalized targeted content based on user sentiment and micro-location. A user's sentiment toward content, or items represented by the content, may be used to personalize targeted content when a user is determined to be near items (e.g., products) related to the content. Micro-location technology may be used to identify when the user is in an appropriate location to receive such personalized targeted content. Content may be provided to a user based on identifying a positive user sentiment toward particular portions of the content. Additionally, content may be provided to a user upon identifying a negative user sentiment toward particular portions of the content in order to allay concerns. User sentiments may be dynamically updated over time or as exposure to content changes.

    Abstract translation: 本发明的实施例提供了基于用户情绪和微位置来产生个性化目标内容的系统和方法。 当用户被确定为与内容相关的项目(例如,产品)时,用户对内容的感受或由内容表示的项目可以用于个性化目标内容。 微位置技术可以用于识别用户何时处于适当位置以接收这样的个性化目标内容。 可以基于识别对内容的特定部分的肯定的用户情绪来向用户提供内容。 另外,为了减轻顾虑,可以向用户提供内容,以便在识别针对内容的特定部分的消极用户情绪时。 用户情绪可能随着时间的推移而动态更新,或者随着内容的变化而变化。

    METHOD AND APPARATUS FOR RECOMMENDING HASHTAGS
    50.
    发明申请
    METHOD AND APPARATUS FOR RECOMMENDING HASHTAGS 审中-公开
    推荐用途的方法和装置

    公开(公告)号:US20160328401A1

    公开(公告)日:2016-11-10

    申请号:US14703889

    申请日:2015-05-05

    CPC classification number: G06F17/30867

    Abstract: A method for recommending hashtags includes determining keywords from a post planned for publishing by a publisher. An input criteria comprising at least one of age group, geographical location, date range, or a keyword is received. Previous posts associated with the keywords and satisfying the input criteria are obtained. The previous posts are categorized into one or more categories based on sentiment of each post and for each category hashtags used in the obtained previous posts in that category are determined. The hashtags are ranked based on predefined criteria comprising at least one of frequency of appearance of respective hashtag in posts, number of likes or shares or retweets of post comprising respective hashtag, number of followers of person who used respective hashtag, or sentiment of post comprising respective hashtag. The hashtags are then recommended, based on ranking, to the publisher for use with the post planned for publishing.

    Abstract translation: 推荐主题标签的方法包括从发布者计划发布的帖子中确定关键字。 接收包括年龄组,地理位置,日期范围或关键字中的至少一个的输入标准。 获得与关键字相关联并满足输入条件的上一个帖子。 以前的帖子根据每个帖子的情绪分为一个或多个类别,并确定在该类别中获取的上一个帖子中使用的每个类别标签。 所述主题标签基于预定义的标准来排序,所述预定义标准包括在帖子中的相应主题标签的出现频率,喜好或者分享的数量,或者分别包括各个主题标签的人物的数量,或使用各自的主题标签的人的追随者的数量, 各自的主题标签 然后,根据排名,推荐将标签与发布商一起用于计划发布的帖子。

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