Title :
Using hierarchical temporal memory for document ranking system identification
Author :
Kozhushko, O.A. ; Tarkov, M.S.
Author_Institution :
Novosibirsk State Univ., Novosibirsk, Russia
Abstract :
A model of hierarchical temporal memory for identification of text documents ranking system is proposed. An approach to the evaluating of the model´s parameters is proposed and an evaluation of training time is given. Tests were performed on data, received by modeling OkapiBm25 algorithm, applied to the collection of text documents of ROMIP seminar. The obtained results allow us to conclude that the model can solve the identification problems.
Keywords :
storage management; text analysis; OkapiBm25 algorithm; ROMIP seminar; document ranking system identification problem; hierarchical temporal memory; model parameter evaluation; text document identification problem; text document ranking system; training time evaluation; Algorithm design and analysis; Classification algorithms; Data models; Greedy algorithms; Training; Uniform resource locators; hierarchical temporal memory; identification system; text document ranking algorithm;
Conference_Titel :
Control and Communications (SIBCON), 2015 International Siberian Conference on
Conference_Location :
Omsk
Print_ISBN :
978-1-4799-7102-2
DOI :
10.1109/SIBCON.2015.7147099
