Heuristic algorithms for the multiple depot vehicle scheduling problem
Management Science
Cyberguide: a mobile context-aware tour guide
Wireless Networks - Special issue: mobile computing and networking: selected papers from MobiCom '96
Developing a context-aware electronic tourist guide: some issues and experiences
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Peer-to-peer based recommendations for mobile commerce
WMC '01 Proceedings of the 1st international workshop on Mobile commerce
MovieLens unplugged: experiences with an occasionally connected recommender system
Proceedings of the 8th international conference on Intelligent user interfaces
Proceedings of the 17th International Conference on Data Engineering
Efficient Progressive Skyline Computation
Proceedings of the 27th International Conference on Very Large Data Bases
Progressive skyline computation in database systems
ACM Transactions on Database Systems (TODS) - Special Issue: SIGMOD/PODS 2003
IEEE Transactions on Knowledge and Data Engineering
Mobile Recommendation Systems for Decision Making "On the Go"
ICMB '05 Proceedings of the International Conference on Mobile Business
The Traveling Salesman Problem: A Computational Study (Princeton Series in Applied Mathematics)
The Traveling Salesman Problem: A Computational Study (Princeton Series in Applied Mathematics)
Map-Based Interaction with a Conversational Mobile Recommender System
UBICOMM '08 Proceedings of the 2008 The Second International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
Finding skyline paths in road networks
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Algorithmic mechanism design for load balancing in distributed systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A web search-centric approach to recommender systems with URLs as minimal user contexts
Journal of Systems and Software
Driving with knowledge from the physical world
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
A taxi business intelligence system
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Cost-aware travel tour recommendation
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Diversified ranking on large graphs: an optimization viewpoint
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 13th international conference on Ubiquitous computing
Where to find my next passenger
Proceedings of the 13th international conference on Ubiquitous computing
Towards reducing taxicab cruising time using spatio-temporal profitability maps
SSTD'11 Proceedings of the 12th international conference on Advances in spatial and temporal databases
Prediction of urban human mobility using large-scale taxi traces and its applications
Frontiers of Computer Science in China
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Gaussian process for recommender systems
KSEM'11 Proceedings of the 5th international conference on Knowledge Science, Engineering and Management
Discovering regions of different functions in a city using human mobility and POIs
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
iTravel: A recommender system in mobile peer-to-peer environment
Journal of Systems and Software
Developing a mobile recommender system
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
Combining user preferences and user opinions for accurate recommendation
Electronic Commerce Research and Applications
Learning geographical preferences for point-of-interest recommendation
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Exploring sustainability research in computing: where we are and where we go next
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Exploring relationship between taxi volume and flue gases' concentrations
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
coRide: carpool service with a win-win fare model for large-scale taxicab networks
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
Mining geographic-temporal-semantic patterns in trajectories for location prediction
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Section on Intelligent Mobile Knowledge Discovery and Management Systems and Special Issue on Social Web Mining
From taxi GPS traces to social and community dynamics: A survey
ACM Computing Surveys (CSUR)
Cost-Aware Collaborative Filtering for Travel Tour Recommendations
ACM Transactions on Information Systems (TOIS)
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The increasing availability of large-scale location traces creates unprecedent opportunities to change the paradigm for knowledge discovery in transportation systems. A particularly promising area is to extract energy-efficient transportation patterns (green knowledge), which can be used as guidance for reducing inefficiencies in energy consumption of transportation sectors. However, extracting green knowledge from location traces is not a trivial task. Conventional data analysis tools are usually not customized for handling the massive quantity, complex, dynamic, and distributed nature of location traces. To that end, in this paper, we provide a focused study of extracting energy-efficient transportation patterns from location traces. Specifically, we have the initial focus on a sequence of mobile recommendations. As a case study, we develop a mobile recommender system which has the ability in recommending a sequence of pick-up points for taxi drivers or a sequence of potential parking positions. The goal of this mobile recommendation system is to maximize the probability of business success. Along this line, we provide a Potential Travel Distance (PTD) function for evaluating each candidate sequence. This PTD function possesses a monotone property which can be used to effectively prune the search space. Based on this PTD function, we develop two algorithms, LCP and SkyRoute, for finding the recommended routes. Finally, experimental results show that the proposed system can provide effective mobile sequential recommendation and the knowledge extracted from location traces can be used for coaching drivers and leading to the efficient use of energy.