Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2013, Issue 4, Pages 14–25 (Mi iipr411)  
This article is cited in 6 scientific papers (total in 6 papers)

Intelligent systems and technologies

Group context-driven collaborative filtering recommending systems: main principles, architecture and models

A. V. Smirnova, N. G. Shilova, A. V. Ponomareva, A. M. Kashevnika, V. G. Parfenovb

a St. Petersburg Institute for Informatics and Automation of RAS
b St. Petersburg National Research University of Information Technologies, Mechanics and Optics
Full-text PDF (1100 kB) Citations (6)
Abstract: The paper proposes an architecture and main models of context-driven collaborative filtering recommending systems. The major problems arising during creation of such systems are identified and their possible solutions are suggested. The advantages of contextual pre-filtering methods for context analysis are justified. The main processes of recommendation generation are described. The usage of the system is demonstrated on a case study of mobile tourist application.
Keywords: recommending systems, collaborative filtering, context, ontology, profile management.
English version:
Scientific and Technical Information Processing, 2014, Volume 41, Issue 5, Pages 325–334
DOI: https://doi.org/10.3103/S0147688214050050
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. V. Smirnov, N. G. Shilov, A. V. Ponomarev, A. M. Kashevnik, V. G. Parfenov, “Group context-driven collaborative filtering recommending systems: main principles, architecture and models”, Artificial Intelligence and Decision Making, 2013, no. 4, 14–25; Scientific and Technical Information Processing, 41:5 (2014), 325–334
Citation in format AMSBIB
\Bibitem{SmiShiPon13}
\by A.~V.~Smirnov, N.~G.~Shilov, A.~V.~Ponomarev, A.~M.~Kashevnik, V.~G.~Parfenov
\paper Group context-driven collaborative filtering recommending systems: main principles, architecture and models
\jour Artificial Intelligence and Decision Making
\yr 2013
\issue 4
\pages 14--25
\mathnet{http://mi.mathnet.ru/iipr411}
\elib{https://elibrary.ru/item.asp?id=21064697}
\transl
\jour Scientific and Technical Information Processing
\yr 2014
\vol 41
\issue 5
\pages 325--334
\crossref{https://doi.org/10.3103/S0147688214050050}
Linking options:
  • https://www.mathnet.ru/eng/iipr411
  • https://www.mathnet.ru/eng/iipr/y2013/i4/p14
    • This publication is cited in the following 6 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Artificial Intelligence and Decision Making
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    Abstract page:21
    Full-text PDF :2
    References:1
     
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