A system architecture for context-aware mobile computing
A system architecture for context-aware mobile computing
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Concept features in Re:Agent, an intelligent Email agent
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Recommender systems in e-commerce
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EC-WEB '02 Proceedings of the Third International Conference on E-Commerce and Web Technologies
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ECML '93 Proceedings of the European Conference on Machine Learning
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 07
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WMCSA '94 Proceedings of the 1994 First Workshop on Mobile Computing Systems and Applications
Lattice Based Privacy Negotiation Rule Generation for Context-Aware Service
UIC '09 Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing
Short Communication: Concept lattice reduction using fuzzy K-Means clustering
Expert Systems with Applications: An International Journal
Representation and reasoning of context-dependant knowledge in distributed fuzzy ontologies
Expert Systems with Applications: An International Journal
WTS'10 Proceedings of the 9th conference on Wireless telecommunications symposium
A statistical recommendation model of mobile services based on contextual evidences
Expert Systems with Applications: An International Journal
The effect of context-aware recommendations on customer purchasing behavior and trust
Proceedings of the fifth ACM conference on Recommender systems
A novel attribute reduction approach based on the object oriented concept lattice
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Incorporating context into recommender systems: an empirical comparison of context-based approaches
Electronic Commerce Research
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Expert Systems with Applications: An International Journal
A completeness analysis of frequent weighted concept lattices and their algebraic properties
Data & Knowledge Engineering
Building a targeted mobile advertising system for location-based services
Decision Support Systems
| Hi-index | 12.06 |
Estimating user profiles for service recommendations in an efficient and manageable manner is very important. In a mobile setting, the service recommendation is more likely to depend on context. Since context data are multi-leveled, easy to reconfigure and dynamically changing, a sophisticated mechanism to handle these characteristics when mining for useful rules for ad hoc service recommendations from contextual data is necessary. Moreover, estimating the dynamic changes of the user profiles according to the change of context under a mobile setting is critical for context-aware service recommendations. However, legacy recommender systems having this capability are still quite rare. Hence, this paper aims to propose a user profile-discovering methodology. To do so, a concept lattice, which we will call the profile lattice, is considered for visualizing and generating user profile rules.