Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
Mining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach
IEEE Transactions on Knowledge and Data Engineering
Extracting places from traces of locations
ACM SIGMOBILE Mobile Computing and Communications Review
Using Location for Personalized POI Recommendations in Mobile Environments
SAINT '06 Proceedings of the International Symposium on Applications on Internet
Discovering personally meaningful places: An interactive clustering approach
ACM Transactions on Information Systems (TOIS)
Mining behavioral groups in large wireless LANs
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Daily Routine Classification from Mobile Phone Data
MLMI '08 Proceedings of the 5th international workshop on Machine Learning for Multimodal Interaction
Mining user similarity based on location history
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Mining frequent trajectory patterns in spatial-temporal databases
Information Sciences: an International Journal
MEK: Using spatial-temporal information to improve social networks and knowledge dissemination
Information Sciences: an International Journal
Daily Routine Recognition through Activity Spotting
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Discovering semantically meaningful places from pervasive RF-beacons
Proceedings of the 11th international conference on Ubiquitous computing
Beyond distance measurement: constructing neighborhood similarity for video annotation
IEEE Transactions on Multimedia - Special section on communities and media computing
Same places, same things, same people?: mining user similarity on social media
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Similarity analysis and modeling in mobile societies: the missing link
Proceedings of the 5th ACM workshop on Challenged networks
Mining user similarity from semantic trajectories
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks
Towards location-based social networking services
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks
A system for destination and future route prediction based on trajectory mining
Pervasive and Mobile Computing
Discovering routines from large-scale human locations using probabilistic topic models
ACM Transactions on Intelligent Systems and Technology (TIST)
Recommending friends and locations based on individual location history
ACM Transactions on the Web (TWEB)
A personal route prediction system based on trajectory data mining
Information Sciences: an International Journal
Recommendation of similar users, resources and social networks in a Social Internetworking Scenario
Information Sciences: an International Journal
Recommending Social Events from Mobile Phone Location Data
ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
On context-aware distributed event dissemination
Personal and Ubiquitous Computing
Mining Cluster-Based Temporal Mobile Sequential Patterns in Location-Based Service Environments
IEEE Transactions on Knowledge and Data Engineering
A user similarity calculation based on the location for social network services
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
Exploiting geographical influence for collaborative point-of-interest recommendation
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Unveiling the complexity of human mobility by querying and mining massive trajectory data
The VLDB Journal — The International Journal on Very Large Data Bases
Collaborative filtering based on significances
Information Sciences: an International Journal
Mining periodic behaviors of object movements for animal and biological sustainability studies
Data Mining and Knowledge Discovery
CityVoyager: an outdoor recommendation system based on user location history
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
On video recommendation over social network
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Towards mobile intelligence: Learning from GPS history data for collaborative recommendation
Artificial Intelligence
Information Sciences: an International Journal
A comparative study of heterogeneous item recommendations in social systems
Information Sciences: an International Journal
| Hi-index | 0.07 |
Mobile user similarity is significant for location-based social network services. With the pervasiveness of location-acquisition technologies, research on measuring mobile user similarity based on their trajectories has attracted a lot of attention. However, trajectories imply only short-term mobile regularities, and thus users' long-term activity similarity is difficult to be captured. In this paper, we address the problem of mining users' long-term activity similarity based on their trajectories. To solve this problem, we propose a two-stage approach. At the first stage, the notion of routine activity is proposed to capture users' long-term activity regularities. The routine activities of a user are extracted from his/her daily trajectories. At the second stage, user similarity is calculated hierarchically based on the extracted routine activities. Finally, we evaluated our approach based on both real and artificial datasets. The experimental results show that users with different profiles can be discriminated on the basis of our similarity metric, and thus demonstrate the effectiveness of our approach.