GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Charting past, present, and future research in ubiquitous computing
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 1
Explaining collaborative filtering recommendations
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Generalized Version Space Learning Algorithm for Noisy and Uncertain Data
IEEE Transactions on Knowledge and Data Engineering
Link Contexts in Classifier-Guided Topical Crawlers
IEEE Transactions on Knowledge and Data Engineering
Reality mining: sensing complex social systems
Personal and Ubiquitous Computing
Accounting for taste: using profile similarity to improve recommender systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Ontology-based context synchronization for ad hoc social collaborations
Knowledge-Based Systems
Managing Context Information in Mobile Devices
IEEE Pervasive Computing
On-line personalized sales promotion in electronic commerce
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
MAPIS, a multi-agent system for information personalization
Information and Software Technology
Expansion of telecommunication social networks
CDVE'07 Proceedings of the 4th international conference on Cooperative design, visualization, and engineering
Centrality measurement on semantically multiplex social networks: divide-and-conquer approach
International Journal of Intelligent Information and Database Systems
Information seeking in social context: structural influences andreceipt of information benefits
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Location-dependent services for mobile users
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Expert Systems with Applications: An International Journal
Ontology Mapping Composition for Query Transformation in Distributed Environment
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
An empirical study on optimizing query transformation on semantic peer-to-peer networks
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Knowledge integration and management in autonomous systems
In-depth behavior understanding and use: The behavior informatics approach
Information Sciences: an International Journal
Reusing ontology mappings for query routing in semantic peer-to-peer environment
Information Sciences: an International Journal
Ontology mapping composition for query transformation on distributed environments
Expert Systems with Applications: An International Journal
Semantic preprocessing for mining sensor streams from heterogeneous environments
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Constraint graph-based frequent pattern updating from temporal databases
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Semantic annotation of cognitive map for knowledge sharing between heterogeneous businesses
Expert Systems with Applications: An International Journal
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It is difficult to be aware of the personal context for providing a mobile recommendation, because each person's activities and preferences are ambiguous and depend upon numerous unknown factors. In order to solve this problem, we have focused on a reality mining to discover social relationships (e.g., family, friends, etc.) between people in the real world. We have assumed that the personal context for any given person is interrelated with those of other people, and we have investigated how to take into account a person's neighbor's contexts, which possibly have an important influence on his or her personal context. This requires that given a dataset, we have to discover the hidden social networks which express the contextual dependencies between people. In this paper, we propose a semiautomatic approach to build meaningful social networks by repeating interactions with human experts. In this research project, we have applied the proposed system to discover the social networks among mobile subscribers. We have collected and analyzed a dataset of approximately two million people.