Information retrieval by constrained spreading activation in semantic networks
Information Processing and Management: an International Journal - Artificial Intelligence and Information Retrieval
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
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CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Application of Spreading Activation Techniques in InformationRetrieval
Artificial Intelligence Review
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APCCM '04 Proceedings of the first Asian-Pacific conference on Conceptual modelling - Volume 31
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International Journal of Intelligent Systems
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Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
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Expert Systems with Applications: An International Journal
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In this paper, we introduce an approach for explaining recommendations in environments that are based on semantic models. Using a constrained Spreading Activation (CSA) technique for recommendation generation, we store and exploit the activation paths leading to recommendations. These paths later can be used to generate both verbal explanations and relevance feedback forms.