An Evaluation of Standard Retrieval Algorithms
and a Binary Neural Approach
Jim Austin Victoria J Ho dge
Dept of Computer Science Dept of Computer Science
University of York UK University of York UK
This research was supp orted by an EPSRC studentship
Contact Address
Victoria J Ho dge
Dept of Computer Science
University of York
Heslington
York
UK
YO DD
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Fax
vicky cs york ac uk
Running Title A Neural Retrieval Approach
A Neural Retrieval Approach
An Evaluation of Standard Retrieval Algorithms and a
Binary Neural Approach
Abstract
In this pap er we evaluate a selection of data retrieval algorithms for
storage e ciency retrieval sp eed and partial matching capabilities using a
large information retrieval dataset We evaluate standard data structures
for example inverted le lists and hash tables but also a novel binary neu
ral network that incorp orates single ep o ch training sup erimp osed co ding
and asso ciative matching in a binary matrix data structure