Parallel programming with MPI
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Personalization method for tourist point of interest (POI) recommendation
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
A Message Scheduling Scheme in Hybrid Telematics Networks
ICCSA '08 Proceeding sof the international conference on Computational Science and Its Applications, Part I
Algorithmic design and query processing of spatial data management in vehicular telematics system
Proceedings of the International Conference on Advances in Computing, Communication and Control
Interactive assistance for tour planning
SC'10 Proceedings of the 7th international conference on Spatial cognition
Tourist trip planning functionalities: state-of-the-art and future
ICWE'10 Proceedings of the 10th international conference on Current trends in web engineering
Time-dependent personal tour planning and scheduling in metropolises
Expert Systems with Applications: An International Journal
A survey on LBS: system architecture, trends and broad research areas
DNIS'11 Proceedings of the 7th international conference on Databases in Networked Information Systems
Integration of battery charging to tour schedule generation for an EV-Based rent-a-car business
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part II
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Aiming at providing an efficient tour schedule to tourists driving with a telematics device, this paper designs and implements an intelligent tour planning system based on the personalized tour recommender that may generate lots of destinations. To overcome the problem of long response time due to the computation of O(2n ċ n!) complexity solver, we used initial set reduction, distributed computing via MPI-based Linux cluster, and finally Lin-Kernighan heuristic. An user interface was also implemented on a portable device using the utility of embedded operating system. Performance measurement results exhibit that the tour schedule can not only be offered to the user within 5 seconds when the number of TPOIs is less than 22, but also find a schedule whose satisfaction degree is very close to the optimal value.