AiTEMS glossary
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    AiTEMS glossary

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    Article Summary

    Available in Classic and VPC

    There is a glossary you need to know to use AiTEMS. The glossary and the description thereof are as follows.

    AiTEMS

    NAVER Cloud Platform's service that provides customized and personalized recommendation services by assessing users' history and analyzing their interests and tastes

    Machine Learning (ML)

    Improving the information processing capabilities of computer programs through the learning process, using data and processing experience, or the field of study related to this subject(Source: Telecommunications Technology Association)

    Metadata

    Structuralized data that provide explanations on other data. Data is provided to content according to a certain set of rules, for efficient search and use of desired information from a large volume of data.

    Schema

    Writing on the properties that display an object's characteristics, objects made up of a bundle of properties, definition of relationships that exist between objects, and restrictions that they must maintain

    Dataset·archive, dataset

    A set of data arranged according to some rule(Source: Telecommunications Technology Association)

    Note

    To see a full list of terms and definitions, go to Glossary from the NAVER Cloud Platform portal.


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