IRMay 23, 2013
A toy model of information retrieval system based on quantum probability
arXiv:1305.5330v1
Originality Synthesis-oriented
AI Analysis
This is an incremental theoretical exploration for information retrieval researchers, focusing on a minimal toy model.
The authors tackled the problem of search engine performance by proposing a toy model to demonstrate how assumptions about the physical nature of retrieved documents affect it, but no concrete results or numbers are provided.
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.