MATCHING RESOURCES TO AN OPPORTUNITY IN A CUSTOMER RELATIONSHIP MANAGEMENT (CRM) SYSTEM
    1.
    发明申请
    MATCHING RESOURCES TO AN OPPORTUNITY IN A CUSTOMER RELATIONSHIP MANAGEMENT (CRM) SYSTEM 审中-公开
    在客户关系管理(CRM)系统中匹配对机会的资源

    公开(公告)号:US20160027018A1

    公开(公告)日:2016-01-28

    申请号:US14645186

    申请日:2015-03-11

    IPC分类号: G06Q30/00 G06Q10/06

    摘要: Matching resources to an opportunity in a customer relationship management (CRM) system includes obtaining, from a CRM system, an opportunity, the opportunity representing a complex record structure in the CRM system, in which the opportunity captures a number of fields of metadata, determining, from the metadata, a number of opportunity attributes associated with the opportunity, determining a number of resource attributes for a number of resources, ranking the resource attributes with the opportunity attributes to determine a score for each of the resources, and presenting, based on the score, a list of the resources that are recommended for the opportunity.

    摘要翻译: 将资源与客户关系管理(CRM)系统中的机会相匹配,包括从CRM系统获得机会,表示CRM系统中的复杂记录结构的机会,其中机会捕获多个元数据领域,确定 从所述元数据中获取与所述机会相关联的多个机会属性,确定多个资源的资源属性的数量,用所述机会属性对所述资源属性进行排序,以确定所述资源中的每个资源的得分,并且基于 得分,为机会推荐的资源清单。

    CREATING AND USING TRIPLET REPRESENTATIONS TO ASSESS SIMILARITY BETWEEN JOB DESCRIPTION DOCUMENTS

    公开(公告)号:US20220261766A1

    公开(公告)日:2022-08-18

    申请号:US17729939

    申请日:2022-04-26

    摘要: A method, system and computer program product for assessing similarity between two job description documents. Job description documents consist of sentences framed in a particular manner, where the sentences are represented as a set of actions, an object corresponding to each action and a set of attributes corresponding to the object. The two job description documents are parsed to generate a first and a second set of an action-object-attribute triplet representation, where the first set of the action-object-attribute triplet representation is associated with the first job description document and the second set of the action-object-attribute triplet representation is associated with the second job description document. A similarity score between the first and second sets of action-object-attribute triplet representations is then calculated by hierarchically matching the first and second sets of action-object-attribute triplet representations across the job description documents. In this manner, similar job positions/job descriptions may be more accurately identified.

    Creating and using triplet representations to assess similarity between job description documents

    公开(公告)号:US11410130B2

    公开(公告)日:2022-08-09

    申请号:US15854837

    申请日:2017-12-27

    摘要: A method, system and computer program product for assessing similarity between two job description documents. Job description documents consist of sentences framed in a particular manner, where the sentences are represented as a set of actions, an object corresponding to each action and a set of attributes corresponding to the object. The two job description documents are parsed to generate a first and a second set of an action-object-attribute triplet representation, where the first set of the action-object-attribute triplet representation is associated with the first job description document and the second set of the action-object-attribute triplet representation is associated with the second job description document. A similarity score between the first and second sets of action-object-attribute triplet representations is then calculated by hierarchically matching the first and second sets of action-object-attribute triplet representations across the job description documents. In this manner, similar job positions/job descriptions may be more accurately identified.

    CREATING AND USING TRIPLET REPRESENTATIONS TO ASSESS SIMILARITY BETWEEN JOB DESCRIPTION DOCUMENTS

    公开(公告)号:US20190197482A1

    公开(公告)日:2019-06-27

    申请号:US15854837

    申请日:2017-12-27

    IPC分类号: G06Q10/10 G06F7/02 G06F17/27

    摘要: A method, system and computer program product for assessing similarity between two job description documents. Job description documents consist of sentences framed in a particular manner, where the sentences are represented as a set of actions, an object corresponding to each action and a set of attributes corresponding to the object. The two job description documents are parsed to generate a first and a second set of an action-object-attribute triplet representation, where the first set of the action-object-attribute triplet representation is associated with the first job description document and the second set of the action-object-attribute triplet representation is associated with the second job description document. A similarity score between the first and second sets of action-object-attribute triplet representations is then calculated by hierarchically matching the first and second sets of action-object-attribute triplet representations across the job description documents. In this manner, similar job positions/job descriptions may be more accurately identified.