GENERATING RETAILING ANALYTICS USING SMART TEXTILES

    公开(公告)号:US20190012679A1

    公开(公告)日:2019-01-10

    申请号:US15641355

    申请日:2017-07-05

    IPC分类号: G06Q30/02 G06Q20/20 G06Q30/06

    摘要: A method, executed by a computer, for generating retailing analytics includes receiving a spatial map corresponding to an environment, receiving, from a purchasable item comprising one or more textile-integrated sensors, sensor information, wherein the purchasable item is located in the environment, analyzing the sensor information to produce retail analytics corresponding to the purchasable item, and sending the retail analytics to a client device. A computer program product and computer system corresponding to the above method are also disclosed herein.

    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.

    Generating retailing analytics using smart textiles

    公开(公告)号:US10956917B2

    公开(公告)日:2021-03-23

    申请号:US15641355

    申请日:2017-07-05

    IPC分类号: G06Q30/02 G06Q20/20 G06Q30/06

    摘要: Aspects of the present invention disclose a method, executed by a computer, for generating retailing analytics. The method includes receiving a spatial map corresponding to an environment. The method further includes receiving, from a purchasable item comprising one or more textile-integrated sensors, sensor information The purchasable item is located in the environment. The method further includes analyzing the sensor information to produce retail analytics corresponding to the purchasable item. The method further includes and sending the retail analytics to a client device. A computer program product and computer system corresponding to the above method are also disclosed herein.

    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.