Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A diversity personalization approach towards recommending POIs for Jeju island

Authors
Lee, JongsooShin, Jung AhChae, Dong-Kyu
Issue Date
Apr-2022
Publisher
Association for Computing Machinery
Keywords
Tour recommendation; diversification; top-N recommendation; personalization
Citation
Proceedings of the ACM Symposium on Applied Computing, pp.1804 - 1807
Indexed
SCOPUS
Journal Title
Proceedings of the ACM Symposium on Applied Computing
Start Page
1804
End Page
1807
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/138796
DOI
10.1145/3477314.3507244
Abstract
In this paper, we propose a diversity personalization approach: we find out how important each user considers diversity of a travel destination when choosing where to visit. Then, we provide recommendations on tourist attractions by combining the score of the personalized diversity, predicted rating score and popularity of POI. We crawled TripAdvisor and Naver data to evaluate the proposed method. Experimental results show that the proposed method shows meaningful improvements in Recall, nDCG, and MRR in terms of top-1, top-2, and top-3 recommendations compared to several baselines.
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > 서울 컴퓨터소프트웨어학부 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Chae, Dong Kyu photo

Chae, Dong Kyu
COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
Read more

Altmetrics

Total Views & Downloads

BROWSE