Abstract
The concept of a “user lens” is introduced. The lens is a sequence of linear transformations used to reweight the vectors which represent documents or queries in information retrieval systems. It is trained automatically via relevance data provided by the user. Experiments verify the lens can improve performance on training data while not degrading test data performance, and that larger lenses result in nearly perfect performance on the training set. The lens provides a mechanism for automatically capturing long-term, user-specific information about an improved representation scheme for document vectors.
This research was supported by NSF grant IRI 92-21276.
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© 1999 Springer Science+Business Media New York
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Vogt, C.C., Cottrell, G.W., Belew, R.K., Bartell, B.T. (1999). User Lenses — Achieving 100% Precision on Frequently Asked Questions. In: Kay, J. (eds) UM99 User Modeling. CISM International Centre for Mechanical Sciences, vol 407. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2490-1_9
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DOI: https://doi.org/10.1007/978-3-7091-2490-1_9
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