The selective travelling salesman problem
Discrete Applied Mathematics - Southampton conference on combinatorial optimization, April 1987
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
A user-aware tour proposal framework using a hybrid optimization approach
Proceedings of the 10th ACM international symposium on Advances in geographic information systems
ITR: A Case-Based Travel Advisory System
ECCBR '02 Proceedings of the 6th European Conference on Advances in Case-Based Reasoning
AINA '04 Proceedings of the 18th International Conference on Advanced Information Networking and Applications - Volume 2
Sketching techniques for collaborative filtering
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Wayfinding choremes-a language for modeling conceptual route knowledge
Journal of Visual Languages and Computing
Collaborative assistance with spatio-temporal planning problems
SC'06 Proceedings of the 2006 international conference on Spatial Cognition V: reasoning, action, interaction
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
Investigating the need for eliminatory constraints in the user interface of bicycle route planners
COSIT'05 Proceedings of the 2005 international conference on Spatial Information Theory
Hi-index | 0.00 |
It is often difficult for individual tourists to make a sightseeing tour plan because they do not have prior knowledge about the destination. Although several systems have been developed for assisting the user's tour planning, these systems lack interactivity, while demanding a lot of data input from the user. In this paper, we introduce a new computer-aided tour planning system, called CT-Planner, which realizes collaborative tour planning. The system provides several tour plans with different characters and asks the user to give feedback. The feedback is utilized by the system for inferring the user's preferences and then revising the tour plans. This cycle is repeated until the user is satisfied with the final plan. Thanks to this cycle the user does not have to register his profiles in advance. In addition, the system allows the user to specify his special requests, which leads to a more satisfying experience of computer-aided tour planning.