Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Personalized location-based brokering using an agent-based intermediary architecture
Decision Support Systems - Special issue: Agents and e-commerce business models
Context-Awareness on Mobile Devices - the Hydrogen Approach
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 9 - Volume 9
The attraction of personalized service for users in mobile commerce: an empirical study
ACM SIGecom Exchanges - Mobile commerce
A Personalized Restaurant Recommender Agent for Mobile E-Service
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
Using Location for Personalized POI Recommendations in Mobile Environments
SAINT '06 Proceedings of the International Symposium on Applications on Internet
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Context-aware content filtering & presentation for pervasive & mobile information systems
Proceedings of the 1st international conference on Ambient media and systems
Dynamic gain estimation in ambient media services
SAME '08 Proceedings of the 1st ACM international workshop on Semantic ambient media experiences
Social and Personal Context Modeling for Contact List Recommendation on Mobile Device
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Mining interesting locations and travel sequences from GPS trajectories
Proceedings of the 18th international conference on World wide web
Collaborative filtering adapted to recommender systems of e-learning
Knowledge-Based Systems
Mining and Visualizing Mobile Social Network Based on Bayesian Probabilistic Model
UIC '09 Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing
A framework for human-centered provisioning of ambient media services
Multimedia Tools and Applications
Collaborative location and activity recommendations with GPS history data
Proceedings of the 19th international conference on World wide web
Display adaptation in nomadic environments
Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia
A new collaborative filtering metric that improves the behavior of recommender systems
Knowledge-Based Systems
The effect of sparsity on collaborative filtering metrics
ADC '09 Proceedings of the Twentieth Australasian Conference on Australasian Database - Volume 92
Towards location-based social networking services
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Location Based Social Networks
Learning travel recommendations from user-generated GPS traces
ACM Transactions on Intelligent Systems and Technology (TIST)
Mining significant semantic locations from GPS data
Proceedings of the VLDB Endowment
e-learning experience using recommender systems
Proceedings of the 42nd ACM technical symposium on Computer science education
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
A statistical recommendation model of mobile services based on contextual evidences
Expert Systems with Applications: An International Journal
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Towards mobile intelligence: Learning from GPS history data for collaborative recommendation
Artificial Intelligence
Recommender systems: from algorithms to user experience
User Modeling and User-Adapted Interaction
Exploiting space-time status for service recommendation
APWeb'12 Proceedings of the 14th international conference on Web Technologies and Applications
A framework for collaborative filtering recommender systems
Expert Systems with Applications: An International Journal
Towards personalized context-aware recommendation by mining context logs through topic models
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Mining GPS traces to recommend common meeting points
Proceedings of the 16th International Database Engineering & Applications Sysmposium
Local implicit feedback mining for music recommendation
Proceedings of the sixth ACM conference on Recommender systems
A study of recommending locations on location-based social network by collaborative filtering
Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
Incorporating reliability measurements into the predictions of a recommender system
Information Sciences: an International Journal
An approach to social recommendation for context-aware mobile services
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Location-based and preference-aware recommendation using sparse geo-social networking data
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Social Recommendations for Location-Based Services
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Location Comparison through Geographical Topics
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Knowledge-Based Systems
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
Point of interest to region of interest conversion
Proceedings of the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Mobility and social networking: a data management perspective
Proceedings of the VLDB Endowment
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
Cost-Aware Collaborative Filtering for Travel Tour Recommendations
ACM Transactions on Information Systems (TOIS)
User preference-aware music video generation based on modeling scene moods
Proceedings of the 5th ACM Multimedia Systems Conference
Time-aware recommender systems: a comprehensive survey and analysis of existing evaluation protocols
User Modeling and User-Adapted Interaction
Review: Mobile recommender systems in tourism
Journal of Network and Computer Applications
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As wireless communication advances, research on location-based services using mobile devices has attracted interest, which provides information and services related to user's physical location. As increasing information and services, it becomes difficult to find a proper service that reflects the individual preference at proper time. Due to the small screen of mobile devices and insufficiency of resources, personalized services and convenient user interface might be useful. In this paper, we propose a map-based personalized recommendation system which reflects user's preference modeled by Bayesian Networks (BN). The structure of BN is built by an expert while the parameter is learned from the dataset. The proposed system collects context information, location, time, weather, and user request from the mobile device and infers the most preferred item to provide an appropriate service by displaying onto the mini map.