CONTEXTUAL DATA ANALYSIS IN COMPUTING SYSTEMS

    公开(公告)号:US20230316093A1

    公开(公告)日:2023-10-05

    申请号:US17708157

    申请日:2022-03-30

    CPC classification number: G06N5/003 H04L41/14

    Abstract: Techniques of contextual data analysis in distributed computing systems are disclosed herein. In one example, upon receiving operational data and attribute data representing attributes of multiple entities in the distributed computing system, a decision tree is generated based on the received operational and attribute data via machine learning. The decision tree has a root and multiple branches each representing a set of the attributes in the attribute data and a corresponding probability value representing a likelihood that one of the multiple components with the set of the attributes would be associated with an event in the distributed computing system. The multiple branches can then be parsed to identify a common subset of the attributes of the multiple components as most closely related to an occurrence of the event in the distributed computing system.

    AUTOMATED TRAVEL DIARY GENERATION
    14.
    发明申请

    公开(公告)号:US20190147042A1

    公开(公告)日:2019-05-16

    申请号:US15811967

    申请日:2017-11-14

    Abstract: Automated travel diary creation is provided. Various implicit and explicit signals are collected and shared with a trip content generation system, which operates to identify visits made by a user and details about trip associated visits, to generate sentences describing the visits based on a learned personal writing style of the user, and to order the generated sentences and form coherent paragraphs in combination with related images to generate an automatically curated, enriched, and personalized travel diary. The travel diary is displayed to the user in a graphical user interface. The user is enabled to edit the travel diary and to share the travel diary with other users.

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