The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Robotics-based location sensing using wireless ethernet
Proceedings of the 8th annual international conference on Mobile computing and networking
Preserving Privacy in Environments with Location-Based Applications
IEEE Pervasive Computing
GeoNotes: Social and Navigational Aspects of Location-Based Information Systems
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
A Privacy Awareness System for Ubiquitous Computing Environments
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
An architecture for privacy-sensitive ubiquitous computing
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Practical robust localization over large-scale 802.11 wireless networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Extracting places from traces of locations
Proceedings of the 2nd ACM international workshop on Wireless mobile applications and services on WLAN hotspots
People-to-People-to-Geographical-Places: The P3 Framework for Location-Based Community Systems
Computer Supported Cooperative Work
Location disclosure to social relations: why, when, & what people want to share
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Sharing the big apple: a survey study of people, place and locatability
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Mobile Recommendation Systems for Decision Making "On the Go"
ICMB '05 Proceedings of the International Conference on Mobile Business
A location-aware recommender system for mobile shopping environments
Expert Systems with Applications: An International Journal
Geographic `Place' and `Community Information' Preferences
Computer Supported Cooperative Work
Inference attacks on location tracks
PERVASIVE'07 Proceedings of the 5th international conference on Pervasive computing
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Learning and recognizing the places we go
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
Place-Its: a study of location-based reminders on mobile phones
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
The MobiSoC middleware for mobile social computing: challenges, design, and early experiences
Proceedings of the 1st international conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications
MobiSoC: a middleware for mobile social computing applications
Mobile Networks and Applications
Web-Based Recommender Systems and User Needs --the Comprehensive View
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
Adaptive System for the Integration of Recommendation Methods with Social Filtering Enhancement
Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
A web search-centric approach to recommender systems with URLs as minimal user contexts
Journal of Systems and Software
A survey of context data distribution for mobile ubiquitous systems
ACM Computing Surveys (CSUR)
A clustering method based on time heat map in mobile social network
ICICA'12 Proceedings of the Third international conference on Information Computing and Applications
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Mobile locatable devices can help identify previously unknown adhoc or semi-permanent groups of people and their meeting places.Newly identified groups or places can be recommended to people toenhance their geo-social experience, while respecting privacyconstraints. For instance, new students can learn about popularhangouts on campus or faculty members can learn about groups ofstudents routinely having research discussions. This paper presentsa clustering algorithm based on user copresence that identifiessuch groups and places even when group members participate to onlya certain fraction of meetings. Simulation results demonstrate that90 96% of group members can be identified with negligible falsepositives when the user meeting attendance is at least 50%.Experimental results using one-month of mobility traces collectedfrom smart phones running Intel's PlaceLab location enginesuccessfully identified all groups that met regularly during thatperiod. Additionally, the group places were identified with goodaccuracy.