• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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A Social Travel Recommendation System using Item-based collaborative filtering


Dae-ho Kim, Je-in Song, So-yeop Yoo, Ok-ran Jeong, Journal of Internet Computing and Services, Vol. 19, No. 3, pp. 7-14, Jun. 2018
10.7472/jksii.2018.19.3.7, Full Text:
Keywords: Personalized Recommendation, Item-based Collaborative Filtering, Apache Mahout, Social Travel Trends, Intimacy

Abstract

As SNS(Social Network Service) becomes a part of our life, new information can be derived through various information provided by SNS. Through the public timeline analysis of SNS, we can extract the latest tour trends for the public and the intimacy through the social relationship analysis in the SNS. The extracted intimacy can also be used to make the personalized recommendation by adding the weights to friends with high intimacy. We apply SNS elements such as analyzed latest trends and intimacy to item-based collaborative filtering techniques to achieve better accuracy and satisfaction than existing travel recommendation services in a new way. In this paper, we propose a social travel recommendation system using item - based collaborative filtering.


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Cite this article
[APA Style]
Kim, D., Song, J., Yoo, S., & Jeong, O. (2018). A Social Travel Recommendation System using Item-based collaborative filtering. Journal of Internet Computing and Services, 19(3), 7-14. DOI: 10.7472/jksii.2018.19.3.7.

[IEEE Style]
D. Kim, J. Song, S. Yoo, O. Jeong, "A Social Travel Recommendation System using Item-based collaborative filtering," Journal of Internet Computing and Services, vol. 19, no. 3, pp. 7-14, 2018. DOI: 10.7472/jksii.2018.19.3.7.

[ACM Style]
Dae-ho Kim, Je-in Song, So-yeop Yoo, and Ok-ran Jeong. 2018. A Social Travel Recommendation System using Item-based collaborative filtering. Journal of Internet Computing and Services, 19, 3, (2018), 7-14. DOI: 10.7472/jksii.2018.19.3.7.