Current Result Document :
| 한글제목(Korean Title) |
POI 에서 딥러닝을 이용한 개인정보 보호 추천 시스템 |
| 영문제목(English Title) |
Personal Information Protection Recommendation System using Deep Learning in POI |
| 저자(Author) |
펭소니
박두순
김대영
양예선
이혜정
싯소포호트
Sony Peng
Doo-Soon Park
Daeyoung Kim
Sony Peng
Doo-Soon Park
Daeyoung Kim
Yixuan Yan
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| 원문수록처(Citation) |
VOL 29 NO. 02 PP. 0377 ~ 0379 (2022. 11) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
POI refers to the point of Interest in Location-Based Social Networks (LBSNs). With the rapid development of mobile devices, GPS, and the Web (web2.0 and 3.0), LBSNs have attracted many users to share their information, physical location (real-time location), and interesting places. The tremendous demand of the user in LBSNs leads the recommendation systems (RSs) to become more widespread attention. Recommendation systems assist users in discovering interesting local attractions or facilities and help social network service (SNS) providers based on user locations. Therefore, it plays a vital role in LBSNs, namely POI recommendation system. In the machine learning model, most of the training data are stored in the centralized data storage, so information that belongs to the user will store in the centralized storage, and users may face privacy issues. Moreover, sharing the information may have safety concerns because of uploading or sharing their real-time location with others through social network media. According to the privacy concern issue, the paper proposes a recommendation model to prevent user privacy and eliminate traditional RS problems such as cold-start and data sparsity. |
| 키워드(Keyword) |
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| 파일첨부 |
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