By Olfa Nasraoui, Myra Spiliopoulou, Jaideep Srivastava, Bamshad Mobasher, Brij Masand

This publication constitutes the completely refereed post-proceedings of the eighth overseas Workshop on Mining net information, WEBKDD 2006, held in Philadelphia, PA, united states in August 2006 together with the twelfth ACM SIGKDD foreign convention on wisdom Discovery and information Mining, KDD 2006.

The thirteen revised complete papers awarded including an in depth preface went via rounds of reviewing and development and have been conscientiously chosen for inclusion within the ebook. the improved papers exhibit new applied sciences from components like adaptive mining tools, flow mining algorithms, thoughts for the Grid, specifically flat texts, records, photos and streams, usability, e-commerce functions, personalization, and advice engines.

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Extra resources for Advances in Web Mining and Web Usage Analysis: 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006 Philadelphia, USA, August 20,

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In: Proc. of the International Conference on Combinatorics and Computing (1999) 9. : Modifications of Kleinberg’s HITS algorithm using Matrix Exponentiation and Web log Records. In: SIGIR 2001. Proceeding of the 24th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 444–445. ACM Press, New York, NY,USA (2001) 10. : Authoritative sources in a hyperlinked environment. Journal of the ACM (JACM) 46(5), 604–632 11. : The PageRank Citation Ranking: Bringing order to the Web.

There are important algorithms in the literature like Page Rank [11], HITS [10, 2] and Average-Clicks [18] which use the link structure graph as their basis. These algorithms differ in the way they use link Google [7, 6, 14] search engine uses PageRank algorithm to rank web pages. PageRank is a global ranking algorithm which ranks web pages based E. Tovar, P. Tsigas, and H. ): OPODIS 2007, LNCS 4878, pp. 21–35, 2007. © Springer-Verlag Berlin Heidelberg 2007 22 K. Beemanapalli, R. Rangarajan, and J.

The following box-plots and graphs compare the two models based on the Hit Ratio. The performance of both the models was recorded when the number of required recommendations was set to 3, 5 and 10. Both the models were trained on 1000 sessions and the Clustered Sessions [3] are represented as ClickStreams into 10, 15 and 20 clusters. Once the models were trained, they were tested on a different set of user sessions. Each of these experiments was repeated 5 times (using a different set of training sessions) to check the consistency of the results.

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