STORING ANONYMIZED IDENTIFIERS INSTEAD OF PERSONALLY IDENTIFIABLE INFORMATION

    公开(公告)号:US20190180100A1

    公开(公告)日:2019-06-13

    申请号:US16279939

    申请日:2019-02-19

    申请人: FACEBOOK, INC.

    IPC分类号: G06K9/00 H04L9/32

    摘要: The present disclosure describes methods and systems for handling personal identifiable information. In some implementations, the information is collected during the authentication of identification (ID) documents. The system includes a one-way hashing function that converts unique personal identifiable information into a unique digest. The system can store the digest without having to store the personal identifiable information. Because the hashing function generates the same digest when given the same input, the digests can be used as anonymized identifiers in place of the personal identifiable information.

    USING VISUAL FEATURES TO IDENTIFY DOCUMENT SECTIONS

    公开(公告)号:US20190073528A1

    公开(公告)日:2019-03-07

    申请号:US15698212

    申请日:2017-09-07

    IPC分类号: G06K9/00 G06K9/62

    摘要: A method, computer system, and a computer program product for identifying sections in a document based on a plurality of visual features is provided. The present invention may include receiving a plurality of documents. The present invention may also include extracting a plurality of content blocks. The present invention may further include determining the plurality of visual features. The present invention may then include grouping the extracted plurality of content blocks into a plurality of categories. The present invention may also include generating a plurality of closeness scores for the plurality of categories by utilizing a Visual Similarity Measure. The present invention may further include generating a plurality of Association Matrices on the plurality of categories for each of the received plurality of documents based on the Visual Similarity Measure. The present invention may further include merging the plurality of categories into a plurality of clusters.

    SYSTEM AND METHOD FOR GENERATING A VIRTUAL ASSISTANT

    公开(公告)号:US20190065839A1

    公开(公告)日:2019-02-28

    申请号:US15682845

    申请日:2017-08-22

    申请人: AUTONOM8 INC

    IPC分类号: G06K9/00

    摘要: A system and method for generating a virtual assistant is disclosed. The system for generating a virtual assistant includes a configuration subsystem configured to receive one or more parameters from a document. The configuration subsystem is also configured to serialize the one or more parameters automatically extracted from the document and generate a structured object based on the one or more serialized parameters. The configuration unit is further configured to embed all validation criteria specified in the document. The system for generating a virtual assistant also includes a virtual assistant generator operatively coupled with the configuration subsystem and configured to analyse the structured object. The virtual assistant generator is also configured to automatically generate a virtual assistant based on an analysed structured object.

    SYSTEM AND METHOD FOR GLOBAL IDENTIFICATION IN A COLLECTION OF DOCUMENTS

    公开(公告)号:US20180330157A1

    公开(公告)日:2018-11-15

    申请号:US16005327

    申请日:2018-06-11

    IPC分类号: G06K9/00

    CPC分类号: G06K9/00469 G06K9/6215

    摘要: Techniques for machine-based identification of objects extracted from text documents in natural language are disclosed. An example method may comprise: identifying matching pairs of one or more information objects corresponding to a real world object, one information object from the document and at least one information object from the document storage for a combination of global identification patterns that exist in the document and in the document storage; ascertaining consistency of the matching pairs and determining which of the one or more information objects in the document are suitable for merging into the document storage; and adding the one or more information objects from the document to the document storage to associate information objects corresponding to the real world object.