한국인터넷정보학회 논문지
Current Result Document :
| 한글제목(Korean Title) |
A Social Travel Recommendation System using Item-based collaborative filtering |
| 영문제목(English Title) |
A Social Travel Recommendation System using Item-based collaborative filtering |
| 저자(Author) |
Dae-ho Kim
Je-in Song
So-yeop Yoo
Ok-ran Jeong
|
| 원문수록처(Citation) |
VOL 19 NO. 03 PP. 0007 ~ 0014 (2018. 06) |
한글내용
(Korean Abstract) |
|
영문내용
(English 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.
|
| 키워드(Keyword) |
Personalized Recommendation
Item-based Collaborative Filtering
Apache Mahout
Social Travel Trends
Intimacy
|
| 파일첨부 |
PDF 다운로드
|
