Abstract
We propose an approach to build a subspace representation for documents. This more powerful representation is a first step towards the development of a quantum-based model for Information Retrieval (IR). To validate our methodology, we apply it to the adaptive document filtering task. © 2010 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Piwowarski, B., Frommholz, I., Moshfeghi, Y., Lalmas, M., & Van Rijsbergen, K. (2010). Filtering documents with subspaces. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5993 LNCS, pp. 615–618). Springer Verlag. https://doi.org/10.1007/978-3-642-12275-0_60
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