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    Predicting user-file interactions
    1.
    发明授权
    Predicting user-file interactions 有权

    公开(公告)号：US11012421B2

    公开(公告)日：2021-05-18

    申请号：US16115069

    申请日：2018-08-28

    Applicant: Box, Inc.

    Inventor： Kave Eshghi

    IPC: H04L29/06 ,  G06N7/00 ,  G06F16/901

    Abstract: Disclosed is an improved systems, methods, and computer program products that use a cluster-based probability model to perform anomaly detection, where the clusters are based upon entities and interactions that exist in content management platforms.

    Detection of personally identifiable information
    3.
    发明授权
    Detection of personally identifiable information 有权

    公开(公告)号：US11941147B2

    公开(公告)日：2024-03-26

    申请号：US17463372

    申请日：2021-08-31

    Applicant: Box, Inc.

    Inventor： Victor De Vansa Vikramaratne ,  Kave Eshghi

    IPC: G06F21/62

    CPC classification number: G06F21/6245

    Abstract: Methods, systems, and computer program products for detection of personally identifiable information (PII). A first detector and a second detector are configured to interoperate. The first detector is different from the second detector and the second detector incurs a greater computational cost than the first detector when processing identical content. Content is presented to the first detector so as to implement a first type of PII detection that is based at least in part on regular expression analysis using regular expressions. The content is presented to the second detector. The second detector performs PII detection based on content analysis that is different from the first detector's regular expression analysis. The second detector causes generation of new regular expressions based on the content analysis and the first detector is updated with such new regular expressions. Performance of the first detector is continually improved as new regular expressions are generated.

    Prioritizing operations over content objects of a content management system
    4.
    发明授权
    Prioritizing operations over content objects of a content management system 有权

    公开(公告)号：US11936656B2

    公开(公告)日：2024-03-19

    申请号：US17163222

    申请日：2021-01-29

    Applicant: Box, Inc.

    Inventor： Victor De Vansa Vikramaratne ,  Kave Eshghi ,  David Vengerov

    IPC: G06F1/329 ,  G06F9/48 ,  G06F21/62 ,  H04L9/40

    CPC classification number: H04L63/102 ,  G06F21/6245 ,  G06F1/329 ,  G06F9/4881 ,  H04L2463/082

    Abstract: Content object operations over content objects of a content management system are prioritized to be performed immediately, or at a later time. The immediate scheduling of an operation is determined by policies, rules, and/or predictive model outcomes. The determination for later time scheduling is based on analysis of a history of events on content objects. If the content object operation is deemed to be at least potentially delayable to a later time, then a scheduling model is consulted to determine an urgency of performing the content object operation on the content object. The urgency value resulting from consulting the scheduling model is combined with then-current resource availability to determine a timeframe for performance of the content object operation on the content object relative to other entries in a continuously updated list of to-be-performed operations. The performance of the content object operation on the content object is initiated in due course.

    Form and template detection
    5.
    发明授权
    Form and template detection 有权

    公开(公告)号：US11928425B2

    公开(公告)日：2024-03-12

    申请号：US16948831

    申请日：2020-10-01

    Applicant: Box, Inc.

    Inventor： Kave Eshghi ,  Victor De Vansa Vikramaratne

    IPC: G06F40/186 ,  G06F16/14 ,  G06F16/16

    CPC classification number: G06F40/186 ,  G06F16/14 ,  G06F16/164

    Abstract: Methods, systems and computer program products for content management systems. A content management system is configured to manage a plurality of content objects. Unsupervised learning is performed over the plurality of content objects to identify document templates associated with content objects taken from the plurality of content objects. When a document template is identified, template metadata is associated with the document template. Additional content objects that are similar to the document template can take on the template metadata. In this way, many documents can be automatically populated with template metadata that corresponds to the identified document template. All or portions of the template metadata can be applied to policies, which policies serve to marshal ongoing document handling operations. During learning, document features are extracted and analyzed so as to define feature clusters, which feature clusters are in turn are used to form document template clusters.

    SYNTHETIC TRAINING DATASETS FOR PERSONALLY IDENTIFIABLE INFORMATION CLASSIFIERS
    6.
    发明公开
    SYNTHETIC TRAINING DATASETS FOR PERSONALLY IDENTIFIABLE INFORMATION CLASSIFIERS 审中-公开

    公开(公告)号：US20230244811A1

    公开(公告)日：2023-08-03

    申请号：US17589610

    申请日：2022-01-31

    Applicant: Box, Inc.

    Inventor： Victor De Vansa Vikramaratne ,  Kave Eshghi ,  Thuy Nguyen ,  Alok Ojha

    IPC: G06F21/62 ,  G06F16/93

    CPC classification number: G06F21/6245 ,  G06F21/6272 ,  G06F16/93

    Abstract: Handling user-demanded privacy controls over data of an electronic document collaboration system. A storage facility is configured to store content objects and associated metadata that pertains to the content objects. A user raises a privacy action request that comprises a demand to change how certain content objects that contain personally identifiable information (PII) of the user are handled. A plurality of content objects are classified using a PII classifier that is trained using synthetically-generated training set entries where, rather than reading actual contents from electronic documents of the collaboration system to generate training set entries, instead, the training set entries are generated using words that are randomly selected from a repository of natural language words. When PII corresponding to the user who raised the privacy action request is discovered in content objects, then the content management system modifies those content objects and/or its metadata in accordance with the demand.

    PREDICTING USER-FILE INTERACTIONS
    7.
    发明申请
    PREDICTING USER-FILE INTERACTIONS 有权

    公开(公告)号：US20210273908A1

    公开(公告)日：2021-09-02

    申请号：US17322360

    申请日：2021-05-17

    Applicant: Box, Inc.

    Inventor： Kave Eshghi

    IPC: H04L29/06 ,  G06N7/00 ,  G06F16/901

    Abstract: Disclosed is an improved systems, methods, and computer program products that use a cluster-based probability model to perform anomaly detection, where the clusters are based upon entities and interactions that exist in content management platforms.

    PRIORITIZING OPERATIONS OVER CONTENT OBJECTS OF A CONTENT MANAGEMENT SYSTEM
    8.
    发明公开
    PRIORITIZING OPERATIONS OVER CONTENT OBJECTS OF A CONTENT MANAGEMENT SYSTEM 审中-公开

    公开(公告)号：US20240314135A1

    公开(公告)日：2024-09-19

    申请号：US18439680

    申请日：2024-02-12

    Applicant: Box, Inc.

    Inventor： Victor De Vansa Vikramaratne ,  Kave Eshghi ,  David Vengerov

    IPC: H04L9/40 ,  G06F1/329 ,  G06F9/48 ,  G06F21/62

    CPC classification number: H04L63/102 ,  G06F21/6245 ,  G06F1/329 ,  G06F9/4881 ,  H04L2463/082

    Abstract: Content object operations over content objects of a content management system are prioritized to be performed immediately, or at a later time. The immediate scheduling of an operation is determined by policies, rules, and/or predictive model outcomes. The determination for later time scheduling is based on analysis of a history of events on content objects. If the content object operation is deemed to be at least potentially delayable to a later time, then a scheduling model is consulted to determine an urgency of performing the content object operation on the content object. The urgency value resulting from consulting the scheduling model is combined with then-current resource availability to determine a timeframe for performance of the content object operation on the content object relative to other entries in a continuously updated list of to-be-performed operations. The performance of the content object operation on the content object is initiated in due course.

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