Abstract
The Self-Organizing Map (SOM) can be used in implementing relevance feedback in an information retrieval system. In our approach, the map surface is convolved with a window function in order to spread the responses given by a human user for the seen data items. In this paper, a number of window functions with different sizes are compared in spreading positive and negative relevance information on the SOM surfaces in an image retrieval application. In addition, a novel method for incorporating location-dependent information on the relative distances of the map units in the window function is presented.
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Koskela, M., Laaksonen, J., Oja, E. (2002). Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps. In: Dorronsoro, J.R. (eds) Artificial Neural Networks — ICANN 2002. ICANN 2002. Lecture Notes in Computer Science, vol 2415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46084-5_159
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DOI: https://doi.org/10.1007/3-540-46084-5_159
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