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.

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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 (Commonwealth Reporting Category E) (Paper)
Additional Information:	Deposited in accordance with the copyright policy of the publisher.
Uncontrolled Keywords:	web page prediction; accuracy
Fields of Research (FOR2008):	08 Information and Computing Sciences > 0806 Information Systems > 080612 Interorganisational Information Systems and Web Services 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining 08 Information and Computing Sciences > 0807 Library and Information Studies > 080704 Information Retrieval and Web Search
Subjects:	280000 Information, Computing and Communication Sciences
Socio-Economic Objective (SEO2008):	UNSPECIFIED
ID Code:	3864
Deposited By:	Dr Hua Wang
Deposited On:	19 Feb 2008 12:58
Last Modified:	14 Oct 2011 13:50

Available Versions of this Item

Integrating recommendation models for improved web page prediction accuracy. (deposited 19 Feb 2008 12:58) [Currently Displayed]
- Integrating Markov Model with clustering for predicting web page accesses. (deposited 31 Mar 2008 14:13)

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