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Tytuł: A k-Nearest Neighbors Method for Classifying User Sessions in E-Commerce Scenario, Journal of Telecommunications and Information Technology, 2015, nr 3

Autor:

Potempa, Aneta ; Skolimowska-Kulig, Magdalena ; Suchacka, Grażyna

Data wydania:

2015, nr 3

Typ zasobu:

artykuł

Opis:

This paper addresses the problem of classification of user sessions in an online store into two classes: buying sessions (during which a purchase confirmation occurs) and browsing sessions. As interactions connected with a purchase confirmation are typically completed at the end of user sessions, some information describing active sessions may be observed and used to assess the probability of making a purchase. The authors formulate the problem of predicting buying sessions in a Web store as a supervised classification problem where there are two target classes, connected with the fact of finalizing a purchase transaction in session or not, and a feature vector containing some variables describing user sessions. The presented approach uses the k-Nearest Neighbors (k-NN) classification. Based on historical data obtained from online bookstore log files a k-NN classifier was built and its efficiency was verified for different neighborhood sizes. A 11-NN classifier was the most effective both in terms of buying session predictions and overall predictions, achieving sensitivity of 87.5% and accuracy of 99.85%.

Wydawca:

National Institute of Telecommunications

Format:

application/pdf

Identyfikator zasobu:

ISSN 1509-4553, on-line: ISSN 1899-8852 ; oai:bc.itl.waw.pl:1871

Źródło:

Journal of Telecommunications and Information Technology

Język:

ang

Prawa:

Biblioteka Naukowa Instytutu Łączności

Temat i słowa kluczowe:

data mining e-commerce k-Nearest Neighbors Web traffic log file analysis online store R-project Web store k-NN Web usage mining supervised classification

Kolekcje, do których przypisany jest obiekt:

Data ostatniej modyfikacji:

17 lut 2016

Data dodania obiektu:

17 lut 2016

Liczba wyświetleń treści obiektu:

1 186

Wszystkie dostępne wersje tego obiektu:

https://ribes-54.man.poznan.pl/publication/2139

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Nazwa wydania Data
Suchacka, Grażyna; Skolimowska-Kulig, Magdalena; Potempa, Aneta, 2015, nr 3, A k-Nearest Neighbors Method for Classifying User Sessions in E-Commerce Scenario, Journal of Telecommunications and Information Technology, 2015, nr 3 17 lut 2016

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