Integrating recommendation models for improved web page prediction accuracy
Khalil, Faten and Wang, Hua and Li, Jiuyong (2007) Integrating recommendation models for improved web page prediction accuracy. In: 13th Australasian World Wide Web Conference (AusWeb 2007), 30 June - 4 July 2007, Coffs Harbour, Australia. MetadataFull text available as: Official URL: http://eventseer.net/event/2243/ Abstract[Abstract]: Recent research initiatives have addressed the need for improved performance of Web page prediction that would profit many applications, e-business in particular. Despite the various eforts so far, there is still
room for advancement in this field. This paper endeavors to provide an improved prediction accuracy by using a novel approach that involves combining clustering, association rules and Markov models. Each of these
frameworks has its own strengths and weaknesses and their integration proves to provide better prediction than using each technique individually. | Item Type: | Conference or Workshop Item (DEST Category E) (Paper) |
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| Additional Information: | Deposited in accordance with the copyright policy of the publisher. |
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| Uncontrolled Keywords: | web page prediction; accuracy |
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| Subjects: | 280000 Information, Computing and Communication Sciences |
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| ID Code: | 3864 |
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| Deposited By: | Dr Hua Wang |
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| Deposited On: | 19 Feb 2008 12:58 |
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| Last Modified: | 31 Mar 2008 14:13 |
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