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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
EuroJournals Publishing
2009
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/12808/1/A%20recommender%20system%20approach%20for%20classifying%20user%20navigation%20patterns%20using%20longest%20common%20subsequence%20algorithm.pdf |