DocumentCode
718623
Title
Using hierarchical temporal memory for document ranking system identification
Author
Kozhushko, O.A. ; Tarkov, M.S.
Author_Institution
Novosibirsk State Univ., Novosibirsk, Russia
fYear
2015
fDate
21-23 May 2015
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Communications (SIBCON), 2015 International Siberian Conference on
Conference_Location
Omsk
Print_ISBN
978-1-4799-7102-2
Type
conf
DOI
10.1109/SIBCON.2015.7147099
Filename
7147099
Link To Document