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Title of Article

METRIZED SMALL WORLD GRAPH BASED MAXIMUM RELEVANCE SEARCH ALGORITHM


Issue
4
Date
2014

Article type
scientific article
UDC
681.518
Pages
317-322
Keywords
relevance, data search, discrete optimization, graph data model, small world graph


Authors
Britvina E.V.
Nizhegorodskiy tekhnicheskiy universitet im. R.E. Alekseeva

Krylov V.V.
Nizhegorodskiy tekhnicheskiy universitet im. R.E. Alekseeva

Malkov Yu.A.
Institut prikladnoy fiziki RAN, N. Novgorod


Abstract
The article describes an algorithm for finding the most relevant element in a finite set of answers. The search is performed on a finite set of queries and with a given relevance function, which has a significantly lower computational complexity than exhaustive search. To achieve the performance goal we created a relevance function induced coordinate system on the set of answers and, subsequently, created a metrized small world graph on its basis. The validity of the proposed heuristic algorithm was confirmed by computer simulations.

File (in Russian)