NDLI: An empirical evaluation of classifier combination schemes for predicting user navigational behavior

Content Provider	IEEE Xplore Digital Library
Author	Mor, E. Minguillon, J.
Copyright Year	2003
Description	Author affiliation: Estudis d'Informatica i Multimedia, Univ. Oberta de Catalunya, Barcelona, Spain (Mor, E.; Minguillon, J.)
Abstract	In this paper we present a simple classification system for predicting user behavior when browsing a Web site devoted to informing about university degrees. More than building a very accurate classifier, we want to study which kind of combination scheme performs better in front of a complexity constraint. A set of marks embedded in the Web pages being visited by each user is used as the input for a classification system which decides whether the user will be interested in accessing other related parts of the Web site or not. We compare two different classification systems: the first one is built using decision trees for the whole data set, with the aim of studying user profiles and variable importance, while the second one combines simple classifiers based on small decision trees using a combination of the voting and cascading paradigms, in order to make predictions which evolve during the period of time the Web site is collecting data. Results show that it is possible to extract useful information for studying user profiles and for predicting user behavior using small decision trees.
Sponsorship	IEEE Comput. Soc. Task Force on Inf. Technol. Bus. Appl
Starting Page	467
Ending Page	471
File Size	266852
Page Count	5
File Format	PDF
ISBN	0769519164
DOI	10.1109/ITCC.2003.1197574
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-04-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Navigation Web pages Decision trees Classification tree analysis Data mining Web page design Voting Web and internet services Web design Web mining
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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