Integrating Markov Model with clustering for predicting web page accesses
Paper
Paper/Presentation Title | Integrating Markov Model with clustering for predicting web page accesses |
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Presentation Type | Paper |
Authors | Khalil, Faten (Author), Wang, Hua (Author) and Li, Jiuyong (Author) |
Journal or Proceedings Title | Proceeding of the 13th Australasian World Wide Web Conference (AusWeb07) |
Number of Pages | 26 |
Year | 2007 |
Place of Publication | Australia |
Web Address (URL) of Paper | http://ausweb.scu.edu.au/aw07/papers/refereed/khalil/paper.html |
Conference/Event | 13th Australasian World Wide Web Conference (AusWeb 2007) |
Event Details | 13th Australasian World Wide Web Conference (AusWeb 2007) Event Date 30 Jun 2007 to end of 04 Jul 2007 Event Location Coffs Harbour, Australia |
Abstract | [Abstract]: Predicting the next page to be accessed by Web users has attracted a large amount of research work lately due to the positive impact of such prediction on different areas of Web based applications. One major technique applied for this intention is Markov model. Low |
Keywords | web page prediction; accuracy |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
460508. Information retrieval and web search | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | Department of Mathematics and Computing |
University of South Australia |
https://research.usq.edu.au/item/9yq3y/integrating-markov-model-with-clustering-for-predicting-web-page-accesses
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