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Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, 2017, Volume 27, Issue 3, Pages 470–478
DOI: https://doi.org/10.20537/vm170314
(Mi vuu602)
 

COMPUTER SCIENCE

Creating groups for marketing purposes from website usage data

S. D. Sulova

University of Economics – Varna, 77 Knyaz Boris I Blvd, Varna, 9002, Bulgaria
References:
Abstract: Customer grouping and knowledge extraction for these groups are important to online businesses because it allows purposeful application of marketing techniques. Individuals can be personally served with the groups, depending on the identified interests and preferences. In this article, we suggest a way to identify and create user groups by processing website usage data. We use the logs stored in the server log data for the visit to a selected website and then retrieve and process the text content of the visited web pages. The approach is based on the technology for natural language processing and uses the methods for clustering of text documents. The experimental testing of this method is done with the software product RapidMiner and data from visits to a Bulgarian e-shop.
Keywords: text clustering, group, text mining, Logfile, RapidMiner.
Received: 01.08.2017
Bibliographic databases:
Document Type: Article
UDC: 519.688
MSC: 68P20, 68T50
Language: English
Citation: S. D. Sulova, “Creating groups for marketing purposes from website usage data”, Vestn. Udmurtsk. Univ. Mat. Mekh. Komp. Nauki, 27:3 (2017), 470–478
Citation in format AMSBIB
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\by S.~D.~Sulova
\paper Creating groups for marketing purposes from website usage data
\jour Vestn. Udmurtsk. Univ. Mat. Mekh. Komp. Nauki
\yr 2017
\vol 27
\issue 3
\pages 470--478
\mathnet{http://mi.mathnet.ru/vuu602}
\crossref{https://doi.org/10.20537/vm170314}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=000467760800014}
\elib{https://elibrary.ru/item.asp?id=30267255}
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