Personalization method for tourist point of interest (POI) recommendation

Authors:
Eui-young Kang;Hanil Kim;Jungwon Cho
Affiliations:
Department of Computer Education, Cheju National University, Jeju-do, Korea;Department of Computer Education, Cheju National University, Jeju-do, Korea;Department of Computer Education, Cheju National University, Jeju-do, Korea
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2006

Citing 4
Cited 6

Metadata elements for object description and representation: a case report from a digitized historical fashion collection project

Journal of the American Society for Information Science - Speical issue on integrating mutiple overlapping metadata standards
A Framework for Collaborative, Content-Based and Demographic Filtering

Artificial Intelligence Review - Special issue on data mining on the Internet
Feature Selection Using Association Word Mining for Classification

DEXA '01 Proceedings of the 12th International Conference on Database and Expert Systems Applications
Empirical analysis of predictive algorithms for collaborative filtering

UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence

Development and application of an efficient ubiquitous teaching and learning model

ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 3
Design and implementation of a tour planning system for telematics users

ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
Tourist trip planning functionalities: state-of-the-art and future

ICWE'10 Proceedings of the 10th international conference on Current trends in web engineering
Context-aware POI recommendations in an automotive scenario using multi-criteria decision making methods

Proceedings of the 2011 Workshop on Context-awareness in Retrieval and Recommendation
Hybrid filtering-based personalized recommender system for revitalization of Jeju water industry

ICWL'10 Proceedings of the 2010 international conference on New horizons in web-based learning
A real-time guarantee scheme based on the runtime message scheduling and error control for the dual wireless ad hoc sensor network

ICDCN'06 Proceedings of the 8th international conference on Distributed Computing and Networking

Quantified Score

Hi-index	0.00

Visualization

Abstract

Today, travelers are provided large amount information which includes Web sites and tourist magazines about introduction of tourist spot. However, it is not easy for users to process the information in a short time. Therefore travelers prefer to receive pertinent information easier and have that information presented in a clear and concise manner. This paper proposes a personalization method for tourist Point of Interest (POI) Recommendation.