Intelligent Systems for Tourism
IEEE Intelligent Systems
Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
A multi-agent infrastructure for developing personalized web-based systems
ACM Transactions on Internet Technology (TOIT)
Expert Systems with Applications: An International Journal
TripTip: a trip planning service with tag-based recommendation
CHI '09 Extended Abstracts on Human Factors in Computing Systems
Mining interesting locations and travel sequences from GPS trajectories
Proceedings of the 18th international conference on World wide web
WhereNext: a location predictor on trajectory pattern mining
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
From GPS traces to a routable road map
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Mining correlation between locations using human location history
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Understanding transportation modes based on GPS data for web applications
ACM Transactions on the Web (TWEB)
Learning travel recommendations from user-generated GPS traces
ACM Transactions on Intelligent Systems and Technology (TIST)
Advanced traveler information system for Hyderabad City
IEEE Transactions on Intelligent Transportation Systems
Mining mobility user profiles for car pooling
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Deliberation for intuition: a framework for energy-efficient trip detection on cellular phones
Proceedings of the 13th international conference on Ubiquitous computing
Towards mobile intelligence: Learning from GPS history data for collaborative recommendation
Artificial Intelligence
Social itinerary recommendation from user-generated digital trails
Personal and Ubiquitous Computing
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Keyword-aware optimal route search
Proceedings of the VLDB Endowment
TraMSNET: a mobile social network application for tourism
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
A multi-layer data representation of trajectories in social networks based on points of interest
Proceedings of the twelfth international workshop on Web information and data management
Personalized trip recommendation with multiple constraints by mining user check-in behaviors
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Exploring pattern-aware travel routes for trajectory search
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
Extrapolating sparse large-scale GPS traces for contact evaluation
Proceedings of the 5th ACM workshop on HotPlanet
Where shall we go today?: planning touristic tours with tripbuilder
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
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Traveling to unfamiliar regions require a significant effort from novice travelers to plan where to go within a limited duration. In this paper, we propose a smart recommendation for highly efficient and balanced itineraries based on multiple user-generated GPS trajectories. Users only need to provide a minimal query composed of a start point, an end point and travel duration to receive an itinerary recommendation. To differentiate good itinerary candidates from less fulfilling ones, we describe how we model and define itinerary in terms of several characteristics mined from user-generated GPS trajectories. Further, we evaluated the efficiency of our method based on 17,745 user-generated GPS trajectories contributed by 125 users in Beijing, China. Also we performed a user study where current residents of Beijing used our system to review and give ratings to itineraries generated by our algorithm and baseline algorithms for comparison.