JOURNAL ARTICLE

A System for Personalized Tour Recommendation Based on Ontology

Yeon-Jin ParkKyunga SongJaewon WhangByeong-Mo Chang

Year: 2015 Journal:   The Journal of the Korea Contents Association Vol: 15 (9)Pages: 1-10   Publisher: Korea Contents Associaition

Abstract

본 연구에서는 온톨로지를 기반으로 개인의 선호도에 따라 여행지를 추천해 주는 시스템을 제안하고 구현하였다. 사용자 개인의 선호도를 파악하기 위해 사용자의 프로파일, 어플리케이션 내의 검색 정보, 웹 검색 정보와 페이스북 정보 등을 활용한다. 또한 실험적인 구현 사례로 시범 서비스 국가인 영국에 대하여 여행지 정보 데이터베이스를 개념과 관계를 중심으로 온톨로지를 구축하고 이를 중심으로 개인 선호도에 따라 여행지를 추천한다. 이 시스템의 개인화된 추천 방식을 이용함으로써 사용자는 자신이 관심 있는 여행지를 추천받아 이를 중심으로 여행 계획을 수립할 수 있다. We propose and implement a personalized tour recommendation system based on ontology. We utilize user's profile, dynamic information on search in the application, web search, and facebook for personalized recommendation. We construct tour database for England based on ontology for a demo service, and recommend tour spot considering an individual preference with tour database. This dynamic and personalized tour service makes it possible for individual to plan one's own tour by considering recommended tour spots for each individual.

Keywords:
Ontology World Wide Web Computer science Recommender system Information retrieval Construct (python library) Service (business) Plan (archaeology) Preference Personalization Personalized search Geography

Metrics

2
Cited By
0.79
FWCI (Field Weighted Citation Impact)
0
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Technology and Data Analysis
Physical Sciences →  Computer Science →  Information Systems
Digital Marketing and Social Media
Social Sciences →  Social Sciences →  Sociology and Political Science

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