Combining collaborative filtering with personal agents for better recommendations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Predictive Statistical Models for User Modeling
User Modeling and User-Adapted Interaction
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Web Services: Concepts, Architectures and Applications
Web Services: Concepts, Architectures and Applications
Intelligent Decision Technologies
Review: Personalizing recommendations for tourists
Telematics and Informatics
Expert Systems with Applications: An International Journal
An integrated case-based reasoning and MCDM system for Web based tourism destination planning
Expert Systems with Applications: An International Journal
Smart itinerary recommendation based on user-generated GPS trajectories
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
Sem-Fit: A semantic based expert system to provide recommendations in the tourism domain
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Mining semantic data for solving first-rater and cold-start problems in recommender systems
Proceedings of the 15th Symposium on International Database Engineering & Applications
Turist@: Agent-based personalised recommendation of tourist activities
Expert Systems with Applications: An International Journal
Social itinerary recommendation from user-generated digital trails
Personal and Ubiquitous Computing
A diffusion mechanism for social advertising over microblogs
Decision Support Systems
SigTur/E-Destination: Ontology-based personalized recommendation of Tourism and Leisure Activities
Engineering Applications of Artificial Intelligence
Personalized trip recommendation with multiple constraints by mining user check-in behaviors
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
A Mobile Service Recommendation System Using Multi-Criteria Ratings
International Journal of Interdisciplinary Telecommunications and Networking
Applicability of Demographic Recommender System to Tourist Attractions: A Case Study on Trip Advisor
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Recommending social network applications via social filtering mechanisms
Information Sciences: an International Journal
PLATIS: a personalized location-aware tourist information system
Proceedings of the Second ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
Hi-index | 12.06 |
Selecting tourist attractions to visit at a destination is a main stage in planning a trip. Although various online travel recommendation systems have been developed to support users in the task of travel planning during the last decade, few systems focus on recommending specific tourist attractions. In this paper, an intelligent system to provide personalized recommendations of tourist attractions in an unfamiliar city is presented. Through a tourism ontology, the system allows integration of heterogeneous online travel information. Based on Bayesian network technique and the analytic hierarchy process (AHP) method, the system recommends tourist attractions to a user by taking into account the travel behavior both of the user and of other users. Spatial web services technology is embedded in the system to provide GIS functions. In addition, the system provides an interactive geographic interface for displaying the recommendation results as well as obtaining users' feedback. The experiments show that the system can provide personalized recommendations on tourist attractions that satisfy the user.