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A Study on User-Customized Local Information Notification Service Using Association Analysis

Authors:
Eunmi Jung
Jooyoung Ko
Andrew G. Kim
Hyenki Kim

Keywords: Local Information; Big Data; LBS; Association Analysis.

Abstract:
Recently, a vast amount of data is being generated due to the popularization of mobile devices and the increase of various internet services using smart phones. It is necessary to quickly provide the local information needed by the user through filtering of the information in order to satisfy the user's various information needs. Therefore, the study proposes a user-customized local information notification service system based user past history and local resident past history data based on Android. Data used in association analysis is weather information. This study helps users to make quick decision and provide information for making rational choices, and it is helpful for service providers for providing efficient service through user pattern analysis.

Pages: 24 to 26

Copyright: Copyright (c) IARIA, 2017

Publication date: May 21, 2017

Published in: conference

ISSN: 2308-4421

ISBN: 978-1-61208-557-9

Location: Barcelona, Spain

Dates: from May 21, 2017 to May 25, 2017