The nature of statistical learning theory
The nature of statistical learning theory
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Machine Learning
A Study of Approaches to Hypertext Categorization
Journal of Intelligent Information Systems
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
A Display Centric Ubiquitous Information System -- "Dokodemo-Display"
SAINT-W '04 Proceedings of the 2004 Symposium on Applications and the Internet-Workshops (SAINT 2004 Workshops)
Out of context: computer systems that adapt to, and learn from, context
IBM Systems Journal
ACAI: agent-based context-aware infrastructure for spontaneous applications
Journal of Network and Computer Applications
Expert Systems with Applications: An International Journal
Activities, context and ubiquitous computing
Computer Communications
Gulliver's Genie: a multi-agent system for ubiquitous and intelligent content delivery
Computer Communications
Context-aware system for proactive personalized service based on context history
Expert Systems with Applications: An International Journal
Using Support Vector Machines for feature-oriented profile-based recommendations
International Journal of Advanced Intelligence Paradigms
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Recently, context-awareness has been a hot topic in the ubiquitous computing field. Numerous methods for capturing, representing and inferring context have been developed and relevant projects have been performed. Existing research has tried to determine user's contextual information physically by using stereo type cameras, RFID, smart devices, etc. These are heavily focusing on external context such as location, temperature, light, etc. However, cognitive elements of the context are important and need more study. This paper confines its research domain to the Web-based information system (IS) and, first, proposes two algorithms, the context inference algorithm and the service recommendation algorithm, for inferring cognitive context in the IS domain. Second, this paper demonstrates cognitive context-awareness on the Web-based information systems through implementing prototype deploying the proposed algorithms. The proposed system deploying the context inference and service recommendation algorithm can help the IS user to work with an IS conveniently and enable an existing IS to deliver ubiquitous service. In this fashion, we show the direction of existing IS and, ultimately, shows the typical services of a ubiquitous computing-based IS.