The active badge location system
ACM Transactions on Information Systems (TOIS)
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Cyberguide: a mobile context-aware tour guide
Wireless Networks - Special issue: mobile computing and networking: selected papers from MobiCom '96
WebMate: a personal agent for browsing and searching
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Persuasive Technology: Using Computers to Change What We Think and Do
Persuasive Technology: Using Computers to Change What We Think and Do
Location-Aware Information Delivery with ComMotion
HUC '00 Proceedings of the 2nd international symposium on Handheld and Ubiquitous Computing
Learning Significant Locations and Predicting User Movement with GPS
ISWC '02 Proceedings of the 6th IEEE International Symposium on Wearable Computers
Discovering personal gazetteers: an interactive clustering approach
Proceedings of the 12th annual ACM international workshop on Geographic information systems
An Indoor Wireless System for Personalized Shopping Assistance
WMCSA '94 Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Context-aware content filtering & presentation for pervasive & mobile information systems
Proceedings of the 1st international conference on Ambient media and systems
Mining user similarity based on location history
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
A user-adaptive city guide system with an unobtrusive navigation interface
Personal and Ubiquitous Computing
Mining interesting locations and travel sequences from GPS trajectories
Proceedings of the 18th international conference on World wide web
Collaborative location and activity recommendations with GPS history data
Proceedings of the 19th international conference on World wide web
Using flickr geotags to predict user travel behaviour
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Towards location-based social networking services
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks
Image-based indoor positioning system: fast image matching using omnidirectional panoramic images
Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis
Learning travel recommendations from user-generated GPS traces
ACM Transactions on Intelligent Systems and Technology (TIST)
Location identification for visitor behavior log in museum
Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry
Recommending friends and locations based on individual location history
ACM Transactions on the Web (TWEB)
Mining GPS data to determine interesting locations
Proceedings of the 8th International Workshop on Information Integration on the Web: in conjunction with WWW 2011
CLR: a collaborative location recommendation framework based on co-clustering
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Effective event discovery: using location and social information for scoping event recommendations
Proceedings of the fifth ACM conference on Recommender systems
Towards mobile intelligence: Learning from GPS history data for collaborative recommendation
Artificial Intelligence
Towards a narrative-aware design framework for smart urban environments
The Future Internet
Ads and the city: considering geographic distance goes a long way
Proceedings of the sixth ACM conference on Recommender systems
Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
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
Mining user similarity based on routine activities
Information Sciences: an International Journal
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
A location-based news article recommendation with explicit localized semantic analysis
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
LCARS: a location-content-aware recommender system
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Location recommendation for out-of-town users in location-based social networks
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Mobility and social networking: a data management perspective
Proceedings of the VLDB Endowment
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Recommendation systems, which automatically understand user preferences and make recommendations, are now widely used in online shopping. However, so far there have been few attempts of applying them to real-world shopping. In this paper, we propose a novel real-world recommendation system, which makes recommendations of shops based on users’ past location data history. The system uses a newly devised place learning algorithm, which can efficiently find users’ frequented places, complete with their proper names (e.g. “The Ueno Royal Museum”). Users’ frequented shops are used as input to the item-based collaborative filtering algorithm to make recommendations. In addition, we provide a method for further narrowing down shops based on prediction of user movement and geographical conditions of the city. We have evaluated our system at a popular shopping district inside Tokyo, and the results demonstrate the effectiveness of our overall approach.