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    Methods and Apparatus for Storing and Accessing Vendor Master Data Records in a Cloud Network via a Proxy vendor System
    4.
    发明申请
    Methods and Apparatus for Storing and Accessing Vendor Master Data Records in a Cloud Network via a Proxy vendor System 审中-公开
    用于通过代理供应商系统存储和访问云网络中的供应商主数据记录的方法和装置

    公开(公告)号：US20160328782A1

    公开(公告)日：2016-11-10

    申请号：US15171398

    申请日：2016-06-02

    Applicant: SAP SE

    Inventor： Sudhir Bhojwani ,  Sanish Mondkar ,  Joseph Fox ,  Yuan Tung ,  Matthew Cromar ,  Grace Zhang ,  Steven Weigand ,  Rajanikanth Jayaseelan ,  Sandeep Chakravarty ,  Sudha Lakshman

    IPC: G06Q30/06 ,  G06F17/30 ,  H04L29/08

    CPC classification number: G06Q30/0635 ,  G06F16/9535 ,  G06Q10/06315 ,  G06Q30/0603 ,  H04L67/10

    Abstract: The embodiments in this disclosure include a system for receiving search requests for one or more items from a client device having access to a local database that stores primary catalogs containing items of contracted entities. If the items are not found in the primary catalogs, the system may be configured to execute an API for processing the search request by routing the search request to a proxy vendor computer in a cloud network. The cloud network may be configured to store vendor master records for one or more non-contracted entities. The proxy vendor computer can conduct a text search of secondary catalogs associated with non-contracted entities, and can transmit search results to the client device for the requested items. The items may correspond to one or more vendor master records associated with a non-contracted entity and may have a matching entry in one or more of the secondary catalogs.

    Abstract translation: 本公开的实施例包括用于从具有访问存储包含订约实体项目的主目录的本地数据库的客户端设备接收针对一个或多个项目的搜索请求的系统。 如果在主目录中找不到项目，则系统可以被配置为通过将搜索请求路由到云网络中的代理供应商计算机来执行用于处理搜索请求的API。 云网络可以被配置为存储一个或多个非承包实体的供应商主记录。 代理供应商计算机可以对与非合同实体相关联的次级目录进行文本搜索，并且可以将客户端设备的搜索结果发送给所请求的项目。 项目可以对应于与非合同实体相关联的一个或多个供应商主记录，并且可以在一个或多个二级目录中具有匹配的条目。

    Learning model based search engine
    5.
    发明授权
    Learning model based search engine 有权

    公开(公告)号：US11423102B2

    公开(公告)日：2022-08-23

    申请号：US16144829

    申请日：2018-09-27

    Applicant: SAP SE

    Inventor： Vengateswaran Chandrasekaran ,  Sandeep Chakravarty

    IPC: G06F17/30 ,  G06F15/18 ,  G06F16/9535 ,  G06N20/00 ,  G06F16/242 ,  G06F16/901

    Abstract: A search engine may detect a user selecting an object associated with a first category subsequent to inputting a first search phrase including a keyword. In response, the search engine may update a learning model by at least incrementing a relevance score for an association between the keyword and the first category. The search engine may suggest keywords for completing a second search phrase based on the updated learning model. The search engine may further respond to the second search phrase by determining, based on the updated learning model, that the first category is more relevant to the first user than a second category. A search result of the second search phrase may be refined by eliminating, from objects matching the second search phrase, objects associated with the second category but not the first category.

    NORMALIZATION OF UNSTRUCTURED CATALOG DATA
    7.
    发明申请
    NORMALIZATION OF UNSTRUCTURED CATALOG DATA 审中-公开

    公开(公告)号：US20200089800A1

    公开(公告)日：2020-03-19

    申请号：US16129996

    申请日：2018-09-13

    Applicant: SAP SE

    Inventor： Sudhir Bhojwani ,  Sudha Lakshman ,  Quan Zhang ,  Sandeep Chakravarty ,  Tu Truong ,  Fuming Wu ,  Yue Li ,  Lin Dong ,  Richa Namballa

    IPC: G06F17/30 ,  G06F17/21

    Abstract: Provided is a method and system for normalizing catalog item data to create higher quality search results. In one example, the method may include receiving a record comprising an unstructured description of an object, identifying a type of the object from among a plurality of object types and identifying a predefined attribute of the identified type of object, extracting a value from the unstructured description corresponding to the predefined attribute and modifying the extracted value to generate a normalized attribute value, and storing a structured record of the object in a structured format comprising a plurality of values of a plurality of attributes of the object from the unstructured description including the normalized attribute value for the predefined attribute of the object.

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