METHODS AND SYSTEMS FOR PREDICTING PSYCHOLOGICAL TYPES
    1.
    发明申请
    METHODS AND SYSTEMS FOR PREDICTING PSYCHOLOGICAL TYPES 有权
    预测心理类型的方法和系统

    公开(公告)号:US20160239573A1

    公开(公告)日:2016-08-18

    申请号:US14624925

    申请日:2015-02-18

    Abstract: According to embodiments illustrated herein there is provided a method for determining a psychological type of a user. The method includes determining a first score for the user based on a profile of the user on a social media platform. Further, a second score is determined for the user based on activities of the user on the social media platform. Thereafter, a third score is determined for the user based on context of conversations of the user on the social media platform, which is determined based on a part of speech of each word in the conversations using a context database. Each word is categorized based on at least the part of speech associated with the word. The third score is determined based on the categorization. The psychological type of the user is determined based on the first score, the second score, and the third score.

    Abstract translation: 根据本文所示的实施例,提供了一种用于确定用户的心理类型的方法。 该方法包括基于用户在社交媒体平台上的简档来确定用户的第一分数。 此外,基于用户在社交媒体平台上的活动来确定用户的第二分数。 此后,基于社交媒体平台上的用户对话的上下文来确定用户的第三分数,其基于使用上下文数据库的对话中的每个单词的一部分语音来确定。 每个单词至少基于与单词相关联的语音部分进行分类。 第三个分数是根据分类确定的。 基于第一分数,第二分数和第三分数确定用户的心理类型。

    METHOD AND SYSTEM FOR MANAGING ONE OR MORE HUMAN RESOURCE FUNCTIONS IN AN ORGANIZATION
    3.
    发明申请
    METHOD AND SYSTEM FOR MANAGING ONE OR MORE HUMAN RESOURCE FUNCTIONS IN AN ORGANIZATION 审中-公开
    在组织中管理一个或多个人力资源功能的方法和系统

    公开(公告)号:US20170017914A1

    公开(公告)日:2017-01-19

    申请号:US14798494

    申请日:2015-07-14

    CPC classification number: G06Q10/063112 G06Q10/1053

    Abstract: According to embodiments illustrated herein, a method and a system is provided for screening candidates for job opportunities. The method includes grouping the candidates into batches based on predetermined time duration, a count of the candidates, and a chronology of receiving job applications from the candidates. Each batch comprises a first set of candidates. Thereafter, a sliding window is moved over the batches, to encompass a set of batches at a first time instance. A second set of candidates is identified from the first set of candidates in a batch from the set of batches based on a score assigned to each of the first set of candidates during an interview. Further, a candidate is selected from the second set of candidates obtained from a first batch, encompassed by the sliding window at a second time instance before the first time instance.

    Abstract translation: 根据本文所示的实施例,提供了一种方法和系统,用于筛选候选人的工作机会。 该方法包括基于预定持续时间,候选人的计数以及从候选者接收工作申请的时间顺序将候选人分组。 每个批次包括第一组候选人。 此后,将滑动窗口移动到批次上,以便在第一时间段包括一组批次。 基于在访问期间分配给第一组候选者中的每一个的分数,从批次集合中的第一组候选者中确定第二组候选者。 此外,从第一批次获得的第二组候选中选择候选者,该第一批候选由第一时间实例之前的第二时间实例由滑动窗包围。

    METHOD AND SYSTEM FOR DATA PROCESSING TO PREDICT DOMAIN KNOWLEDGE OF USER FOR CONTENT RECOMMENDATION

    公开(公告)号:US20180081969A1

    公开(公告)日:2018-03-22

    申请号:US15270379

    申请日:2016-09-20

    CPC classification number: G06F16/951 G06Q30/0207 G06Q30/0269

    Abstract: The disclosed embodiments illustrate methods and systems for data processing to predict domain knowledge of a user for content recommendation. The method includes extracting a set of features from user data based on at least a domain-of-interest. The method further includes categorizing each feature in each set of the extracted set of features into one of a plurality of categories. The method further includes determining a domain literacy weight of the user for each category of the plurality of categories based on at least an average weight associated with each set of the extracted set of features in each category. The method further includes predicting the domain knowledge of the user based on at least the determined domain literacy weight associated with each category. The predicted domain knowledge is further utilized for the content recommendation to the user.

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