Reinforcement Machine Learning For Personalized Intelligent Alerting

    公开(公告)号:US20200211039A1

    公开(公告)日:2020-07-02

    申请号:US16816730

    申请日:2020-03-12

    Applicant: ADOBE INC.

    Abstract: Embodiments of the present invention relate to providing intelligent alerting and automation for marketing analytics software. In implementation, intelligent alerting is initiated by a user, which enables deep learning models to analyze various data patterns. Intelligent alerting learns about preferences and data consumption patterns of the user with marketing analytics software. Intelligent alerting also accounts for and learns from any manually created alerts set up by the user and/or alerts created automatically by anomaly detection. Intelligent alerting analyzes all other users within the organization of the user to find similar users based on their consumption patterns. An on-demand game may be provided to the user to determine the criticality of one metric change over another. This enables intelligent alerting to automatically provide alerts which pass a critical threshold of importance to the user and context to help the user understand why a metric changes in a significant way.

    FACILITATING ANALYTIC SERVICES FOR PROVENANCE OF DIGITAL DOCUMENTS

    公开(公告)号:US20200162266A1

    公开(公告)日:2020-05-21

    申请号:US16193759

    申请日:2018-11-16

    Applicant: ADOBE INC.

    Abstract: Embodiments provide traceability of edits to a document, i.e., a verifiable and immutable provenance chain for the document. In particular, embodiments facilitate providing analytics services for a distributed ledger. In implementation, a unique identifier associated with a digital document can be received from a remote computing device. Based on the received unique identifier, it is determined that the distributed ledger includes a first transaction corresponding to a first transitioned state of the digital document and a second transaction corresponding to a second transitioned state of the digital document. Each transaction includes the unique identifier, a first fingerprint of the digital document generated at a first time of a transitioned state, and a second fingerprint of the digital document generated at a second time of a previously transitioned state. Thereafter, a provenance chain of the digital document including the first transaction followed by the second transaction is determined based on a determination that the second fingerprint of the second transaction corresponds to the first fingerprint of the first transaction.

    CONTRIBUTION OF MULTIPARTY DATA AGGREGATION USING DISTRIBUTED LEDGER TECHNOLOGY

    公开(公告)号:US20200159847A1

    公开(公告)日:2020-05-21

    申请号:US16198541

    申请日:2018-11-21

    Applicant: ADOBE INC.

    Abstract: In various embodiments, a request may be received identifying items of information and an entity requesting the items. A set of entities may be determined It may be determined, for a response to the request, that collectively has access to a set of values that captures each of the items requested by the entity. A transaction of a transaction block may be created on a blockchain maintained at least in part by one or more nodes of a distributed ledger system. The transaction may be digitally signed and identify the set of entities, and contribution scores of the values to the set of values. Each contribution score for a given value of an item being based on a level of scarcity of the item and a level of usage of the item. The blockchain may identify a scoring algorithm used to determine the contribution scores.

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