Learning image semantics from users relevance feedback
Proceedings of the 12th annual ACM international conference on Multimedia
Personalised maps in multimodal mobile GIS
International Journal of Web Engineering and Technology
Studying interaction methodologies in video retrieval
Proceedings of the VLDB Endowment
Towards user psychological profile
Proceedings of the VIII Brazilian Symposium on Human Factors in Computing Systems
RecoMap: an interactive and adaptive map-based recommender
Proceedings of the 2010 ACM Symposium on Applied Computing
User-centric information management for decision support in disaster relief & evacuation
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Developing non-proprietary personalized maps for web and mobile environments
W2GIS'04 Proceedings of the 4th international conference on Web and Wireless Geographical Information Systems
A reference profile ontology for communities of practice
International Journal of Metadata, Semantics and Ontologies
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With the growing amount of information being digitized, users find it difficult to obtain the mostrelevant information that is hidden in the deluge of information returned to them by search engines. In this paper, we describe a conceptual model using a hybrid approach based on user profiling approaches and information filtering techniques that can alleviate the problem of information overload. We discuss the concepts, namely static content profiling, staticcollaborative profiling, dynamic content profiling and dynamic collaborative profiling, followed by the design and implementation of a library search facility, which has employed these concepts. Preliminary experiments conducted have shown that users have benefited from ourprototype system. It appears that there is value in employing these new concepts that we have proposed in the design and implementation of future information retrieval system for better retrieval.