Tour recommendation system based on web information and GIS

Yukiko Kawai, Jianwei Zhang, Hiroshi Kawasaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Information recommendation and filtering techniques have been studied intensively. Traditional tour recommendation systems, which can be considered one of information recommendation systems, usually calculate the shortest path in terms of time or distance. Recently, tour recommendation systems for more general purposes have become an important research topic. In this paper we propose an efficient tourist route search system which not only recommends the path simply connecting several tourist spots, but also recommends the path with beautiful scenic sights. We focus on the visibility of scenic sights between one tourist spot and another, which is an important factor for choosing a driving route, but has not been considered in traditional tour recommendation systems. To automatically retrieve tourist spots, we propose a personalized tourist spot recommendation technique using the Web information. Although, for some regions, databases of the famous spots exist and are published, such regions are limited and usually outdated. Our method automatically extracts spots from the Web, thus our system is versatile and up-to-date for large regions. To find a route with attractive scenery, we calculate scores for paths based on the visibility of scenic sights. After generating route candidates using GIS, a 3D virtual space is constructed and the Z-Buffer method is used to decide the visibility of scenic sights for each route candidate. We implemented a prototype and tested the effectiveness of the system.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009
Pages990-993
Number of pages4
DOIs
Publication statusPublished - Nov 20 2009
Externally publishedYes
Event2009 IEEE International Conference on Multimedia and Expo, ICME 2009 - New York, NY, United States
Duration: Jun 28 2009Jul 3 2009

Publication series

NameProceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009

Other

Other2009 IEEE International Conference on Multimedia and Expo, ICME 2009
CountryUnited States
CityNew York, NY
Period6/28/097/3/09

Fingerprint

Recommender systems
Geographic information systems
Visibility

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Cite this

Kawai, Y., Zhang, J., & Kawasaki, H. (2009). Tour recommendation system based on web information and GIS. In Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009 (pp. 990-993). [5202663] (Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009). https://doi.org/10.1109/ICME.2009.5202663

Tour recommendation system based on web information and GIS. / Kawai, Yukiko; Zhang, Jianwei; Kawasaki, Hiroshi.

Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009. 2009. p. 990-993 5202663 (Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kawai, Y, Zhang, J & Kawasaki, H 2009, Tour recommendation system based on web information and GIS. in Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009., 5202663, Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009, pp. 990-993, 2009 IEEE International Conference on Multimedia and Expo, ICME 2009, New York, NY, United States, 6/28/09. https://doi.org/10.1109/ICME.2009.5202663
Kawai Y, Zhang J, Kawasaki H. Tour recommendation system based on web information and GIS. In Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009. 2009. p. 990-993. 5202663. (Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009). https://doi.org/10.1109/ICME.2009.5202663
Kawai, Yukiko ; Zhang, Jianwei ; Kawasaki, Hiroshi. / Tour recommendation system based on web information and GIS. Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009. 2009. pp. 990-993 (Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009).
@inproceedings{a87a8bd4a8db41ac8cf5d6b296951ad5,
title = "Tour recommendation system based on web information and GIS",
abstract = "Information recommendation and filtering techniques have been studied intensively. Traditional tour recommendation systems, which can be considered one of information recommendation systems, usually calculate the shortest path in terms of time or distance. Recently, tour recommendation systems for more general purposes have become an important research topic. In this paper we propose an efficient tourist route search system which not only recommends the path simply connecting several tourist spots, but also recommends the path with beautiful scenic sights. We focus on the visibility of scenic sights between one tourist spot and another, which is an important factor for choosing a driving route, but has not been considered in traditional tour recommendation systems. To automatically retrieve tourist spots, we propose a personalized tourist spot recommendation technique using the Web information. Although, for some regions, databases of the famous spots exist and are published, such regions are limited and usually outdated. Our method automatically extracts spots from the Web, thus our system is versatile and up-to-date for large regions. To find a route with attractive scenery, we calculate scores for paths based on the visibility of scenic sights. After generating route candidates using GIS, a 3D virtual space is constructed and the Z-Buffer method is used to decide the visibility of scenic sights for each route candidate. We implemented a prototype and tested the effectiveness of the system.",
author = "Yukiko Kawai and Jianwei Zhang and Hiroshi Kawasaki",
year = "2009",
month = "11",
day = "20",
doi = "10.1109/ICME.2009.5202663",
language = "English",
isbn = "9781424442911",
series = "Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009",
pages = "990--993",
booktitle = "Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009",

}

TY - GEN

T1 - Tour recommendation system based on web information and GIS

AU - Kawai, Yukiko

AU - Zhang, Jianwei

AU - Kawasaki, Hiroshi

PY - 2009/11/20

Y1 - 2009/11/20

N2 - Information recommendation and filtering techniques have been studied intensively. Traditional tour recommendation systems, which can be considered one of information recommendation systems, usually calculate the shortest path in terms of time or distance. Recently, tour recommendation systems for more general purposes have become an important research topic. In this paper we propose an efficient tourist route search system which not only recommends the path simply connecting several tourist spots, but also recommends the path with beautiful scenic sights. We focus on the visibility of scenic sights between one tourist spot and another, which is an important factor for choosing a driving route, but has not been considered in traditional tour recommendation systems. To automatically retrieve tourist spots, we propose a personalized tourist spot recommendation technique using the Web information. Although, for some regions, databases of the famous spots exist and are published, such regions are limited and usually outdated. Our method automatically extracts spots from the Web, thus our system is versatile and up-to-date for large regions. To find a route with attractive scenery, we calculate scores for paths based on the visibility of scenic sights. After generating route candidates using GIS, a 3D virtual space is constructed and the Z-Buffer method is used to decide the visibility of scenic sights for each route candidate. We implemented a prototype and tested the effectiveness of the system.

AB - Information recommendation and filtering techniques have been studied intensively. Traditional tour recommendation systems, which can be considered one of information recommendation systems, usually calculate the shortest path in terms of time or distance. Recently, tour recommendation systems for more general purposes have become an important research topic. In this paper we propose an efficient tourist route search system which not only recommends the path simply connecting several tourist spots, but also recommends the path with beautiful scenic sights. We focus on the visibility of scenic sights between one tourist spot and another, which is an important factor for choosing a driving route, but has not been considered in traditional tour recommendation systems. To automatically retrieve tourist spots, we propose a personalized tourist spot recommendation technique using the Web information. Although, for some regions, databases of the famous spots exist and are published, such regions are limited and usually outdated. Our method automatically extracts spots from the Web, thus our system is versatile and up-to-date for large regions. To find a route with attractive scenery, we calculate scores for paths based on the visibility of scenic sights. After generating route candidates using GIS, a 3D virtual space is constructed and the Z-Buffer method is used to decide the visibility of scenic sights for each route candidate. We implemented a prototype and tested the effectiveness of the system.

UR - http://www.scopus.com/inward/record.url?scp=70449569294&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70449569294&partnerID=8YFLogxK

U2 - 10.1109/ICME.2009.5202663

DO - 10.1109/ICME.2009.5202663

M3 - Conference contribution

AN - SCOPUS:70449569294

SN - 9781424442911

T3 - Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009

SP - 990

EP - 993

BT - Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009

ER -