Towards a Better Understanding of Context and Context-Awareness
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
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AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
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WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
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CEC '09 Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing
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SEUS '09 Proceedings of the 7th IFIP WG 10.2 International Workshop on Software Technologies for Embedded and Ubiquitous Systems
Context-aware citation recommendation
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Proceedings of the 4th International Workshop on Modeling Social Media
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In this paper we propose a novel framework for Recommender Systems that uses weighted tagging and Natural Language Processing techniques to tag, rate, cluster and recommend items. The system is able to cluster items in a dynamic hierarchical fashion allowing for on the fly user-tailored clustering of items. It is also able to automatically extract tags and ratings from item descriptions. It is inherently Context Aware since it uses Natural Language Processing techniques and targeted for Assistive Environments, whether as part of a companion (a dialogue system whose purpose is to accompany the user) or as a standalone system that will recommend books, movies, activities, medication and others in an easy to use intuitive way.