Learning model based recommendation engine

    公开(公告)号:US11710056B2

    公开(公告)日:2023-07-25

    申请号:US16224690

    申请日:2018-12-18

    Applicant: SAP SE

    CPC classification number: G06N7/01 G06F16/2457 G06N20/00

    Abstract: A method may include receiving, at a recommendation engine, a first indication to create a first sourcing event that includes a first object and a second object. The recommendation engine may respond to the first indication by updating a learning model to increment a first frequency of the first object being included in a sourcing event, a second frequency of the second object being included in a sourcing event, and/or a third frequency of the first object and the second object being included simultaneously in a sourcing event. The recommendation engine may receive a second indication to create a second sourcing event. In response to the second indication, the recommendation engine may apply the learning model to generate a recommendation to add, to the second sourcing event, the first object instead of the second object. Related systems and articles of manufacture are also provided.

    DYNAMIC QUESTION RECOMMENDATION
    4.
    发明申请

    公开(公告)号:US20200034720A1

    公开(公告)日:2020-01-30

    申请号:US16047223

    申请日:2018-07-27

    Applicant: SAP SE

    Abstract: In an example embodiment, a request is received, via a graphical user interface, to add a new object to a directory of objects, the new object having a first category in a hierarchical taxonomy of categories and objects. Then one or more questions previously assigned to the first category and/or one or more existing objects within the first category are retrieved. Each of the retrieved one or more questions and information about the new object are then fed into a first machine learned model trained to output a probability that a question is applicable to an object. One or more questions are generated for the new object based on the probability for each of the retrieved one or more questions. At least one of the one or more generated questions is then assigned to the new object.

    Clustering of data objects based on data object attributes

    公开(公告)号:US12045259B2

    公开(公告)日:2024-07-23

    申请号:US17347336

    申请日:2021-06-14

    Applicant: SAP SE

    CPC classification number: G06F16/285 G06F7/08

    Abstract: Some embodiments provide a program that determines a plurality of data objects. Each data object in the plurality of data objects includes a first attribute and a second attribute. The program further sorts values of the first attribute of the plurality of data objects. The program also sorts values of the second attribute of the plurality of data objects. The program further determines a first distance value based on the sorted values of the first attribute of the plurality of data objects. The program also determines a second distance value based on the sorted values of the second attribute of the plurality of data objects. The program further defines a plurality of clusters based on the sorted values of the first attribute of the plurality of data objects, the first distance value, the sorted values of the second attribute of the plurality of data objects, and the second distance value.

    CLUSTERING OF DATA OBJECTS BASED ON DATA OBJECT ATTRIBUTES

    公开(公告)号:US20220398263A1

    公开(公告)日:2022-12-15

    申请号:US17347336

    申请日:2021-06-14

    Applicant: SAP SE

    Abstract: Some embodiments provide a program that determines a plurality of data objects. Each data object in the plurality of data objects includes a first attribute and a second attribute. The program further sorts values of the first attribute of the plurality of data objects. The program also sorts values of the second attribute of the plurality of data objects. The program further determines a first distance value based on the sorted values of the first attribute of the plurality of data objects. The program also determines a second distance value based on the sorted values of the second attribute of the plurality of data objects. The program further defines a plurality of clusters based on the sorted values of the first attribute of the plurality of data objects, the first distance value, the sorted values of the second attribute of the plurality of data objects, and the second distance value.

    OBJECT SEARCH ON PARTIAL DATA RECEIVED FROM EXTERNAL SYSTEM

    公开(公告)号:US20200151262A1

    公开(公告)日:2020-05-14

    申请号:US16185872

    申请日:2018-11-09

    Applicant: SAP SE

    Abstract: In an example embodiment, a first payload in a first electronic communication is received, the first payload containing localization information regarding a first node in a taxonomy of objects, categories, and characteristics. The first payload is parsed to identify one or more dependencies. For each of the one or more dependencies, a dummy node in the taxonomy corresponding to the dependency is created, the dummy node containing information about the dependency from the first payload. A search mechanism is provided to a graphical user interface, the search mechanism designed to receive user interactions from a user and cause one or more hardware processors to retrieve and cause display of information in one or more of the dummy nodes in the taxonomy.

Patent Agency Ranking