Cyberguide: a mobile context-aware tour guide
Wireless Networks - Special issue: mobile computing and networking: selected papers from MobiCom '96
Amazon.com Recommendations: Item-to-Item Collaborative Filtering
IEEE Internet Computing
Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
Mining, indexing, and querying historical spatiotemporal data
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
IEEE Transactions on Knowledge and Data Engineering
Using Location for Personalized POI Recommendations in Mobile Environments
SAINT '06 Proceedings of the International Symposium on Applications on Internet
Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
A mobile application framework for the geospatial web
Proceedings of the 16th international conference on World Wide Web
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
Exploiting real world knowledge in ubiquitous applications
Personal and Ubiquitous Computing
Where were we: communities for sharing space-time trails
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Learning transportation mode from raw gps data for geographic applications on the web
Proceedings of the 17th international conference on World Wide Web
GeoLife: Managing and Understanding Your Past Life over Maps
MDM '08 Proceedings of the The Ninth International Conference on Mobile Data Management
Understanding mobility based on GPS data
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
Mining user similarity based on location history
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Mining interesting locations and travel sequences from GPS trajectories
Proceedings of the 18th international conference on World wide web
GeoLife2.0: A Location-Based Social Networking Service
MDM '09 Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware
Learning and inferring transportation routines
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Understanding transportation modes based on GPS data for web applications
ACM Transactions on the Web (TWEB)
Collaborative location and activity recommendations with GPS history data
Proceedings of the 19th international conference on World wide web
Searching trajectories by locations: an efficiency study
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Learning Location Correlation from GPS Trajectories
MDM '10 Proceedings of the 2010 Eleventh International Conference on Mobile Data Management
Recommending friends and locations based on individual location history
ACM Transactions on the Web (TWEB)
CityVoyager: an outdoor recommendation system based on user location history
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
Predestination: inferring destinations from partial trajectories
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Location-based recommendation system using Bayesian user's preference model in mobile devices
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
Finding similar users using category-based location history
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Recommending friends and locations based on individual location history
ACM Transactions on the Web (TWEB)
Smart itinerary recommendation based on user-generated GPS trajectories
UIC'10 Proceedings of the 7th international conference on Ubiquitous intelligence and computing
A mobile web service middleware and its performance study
Transactions on large-scale data- and knowledge-centered systems III
Personalized travel recommendation by mining people attributes from community-contributed photos
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Learning to Infer the Status of Heavy-Duty Sensors for Energy-Efficient Context-Sensing
ACM Transactions on Intelligent Systems and Technology (TIST)
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Data-driven trajectory smoothing
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Mining Travel Patterns from Geotagged Photos
ACM Transactions on Intelligent Systems and Technology (TIST)
Factorization Machines with libFM
ACM Transactions on Intelligent Systems and Technology (TIST)
Exploiting space-time status for service recommendation
APWeb'12 Proceedings of the 14th international conference on Web Technologies and Applications
Transfer learning for activity recognition via sensor mapping
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Social itinerary recommendation from user-generated digital trails
Personal and Ubiquitous Computing
Exploiting large-scale check-in data to recommend time-sensitive routes
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
User oriented trajectory similarity search
Proceedings of the ACM SIGKDD International Workshop on Urban Computing
Some help on the way: opportunistic routing under uncertainty
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
The preface of the 4th International Workshop on Location-Based Social Networks
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
LBSNRank: personalized pagerank on location-based social networks
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Discovering areas of interest with geo-tagged images and check-ins
Proceedings of the 20th ACM international conference on Multimedia
Location-based and preference-aware recommendation using sparse geo-social networking data
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
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 trajectory-based recommender system for tourism
AMT'12 Proceedings of the 8th international conference on Active Media Technology
Transfer learning in heterogeneous collaborative filtering domains
Artificial Intelligence
RecTour: A Recommender System for Tourists
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Choice architecture for environmentally sustainable urban mobility
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Knowledge-Based Systems
Nontrivial landmark recommendation using geotagged photos
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
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
LearNext: learning to predict tourists movements
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Finding frequent sub-trajectories with time constraints
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
A review of urban computing for mobile phone traces: current methods, challenges and opportunities
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
LocateMe: Magnetic-fields-based indoor localization using smartphones
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Mobility and social networking: a data management perspective
Proceedings of the VLDB Endowment
An object based conceptual framework for location based social networking
Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-Based Social Networks
Where you like to go next: successive point-of-interest recommendation
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Review: Mobile recommender systems in tourism
Journal of Network and Computer Applications
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The advance of GPS-enabled devices allows people to record their location histories with GPS traces, which imply human behaviors and preferences related to travel. In this article, we perform two types of travel recommendations by mining multiple users' GPS traces. The first is a generic one that recommends a user with top interesting locations and travel sequences in a given geospatial region. The second is a personalized recommendation that provides an individual with locations matching her travel preferences. To achieve the first recommendation, we model multiple users' location histories with a tree-based hierarchical graph (TBHG). Based on the TBHG, we propose a HITS (Hypertext Induced Topic Search)-based model to infer the interest level of a location and a user's travel experience (knowledge). In the personalized recommendation, we first understand the correlation between locations, and then incorporate this correlation into a collaborative filtering (CF)-based model, which predicts a user's interests in an unvisited location based on her locations histories and that of others. We evaluated our system based on a real-world GPS trace dataset collected by 107 users over a period of one year. As a result, our HITS-based inference model outperformed baseline approaches like rank-by-count and rank-by-frequency. Meanwhile, we achieved a better performance in recommending travel sequences beyond baselines like rank-by-count. Regarding the personalized recommendation, our approach is more effective than the weighted Slope One algorithm with a slightly additional computation, and is more efficient than the Pearson correlation-based CF model with the similar effectiveness.