  Recent numerical results show that non-Bayesian knowledge revision may be
helpful in search engine training and optimization. In order to demonstrate how
basic assumption about about the physical nature (and hence the observed
statistics) of retrieved documents can affect the performance of search engines
we suggest an idealized toy model with minimal number of parameters.
