A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm.

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A recommender system approach for classifying user navigation patterns using longest common subsequence algorithm.

Prediction of user future movements and intentions based on the users’ clickstream data is a main challenging problem in Web based recommendation systems. Web usage mining based on the users’ clickstream data has become the subject of exhaustive research, as its potential for web based personalized...

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Bibliographic Details
Main Authors:	Jalali, Mehrdad, Mustapha, Norwati, Sulaiman, Md. Nasir, Mamat, Ali
Format:	Article
Language:	English English
Published:	EuroJournals Publishing 2009
Subjects:	Computer algorithms. Web usage mining. Recommender systems (Information filtering).
Online Access:	http://psasir.upm.edu.my/id/eprint/12808/ http://psasir.upm.edu.my/id/eprint/12808/1/A%20recommender%20system%20approach%20for%20classifying%20user%20navigation%20patterns%20using%20longest%20common%20subsequence%20algorithm.pdf

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