Proceedings of the Thirteenth ACM Conference on Hypertext and Hypermedia - HYPERTEXT '02 2002
DOI: 10.1145/513378.513381
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Using Markov models for web site link prediction

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Cited by 31 publications
(25 citation statements)
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“…But most importantly probabilistic sequence generation models like Markov chain can tackle all problems in relation with HTTP request anticipation. [6].…”
Section: A Application In Web Page Anticipationmentioning
confidence: 99%
See 1 more Smart Citation
“…But most importantly probabilistic sequence generation models like Markov chain can tackle all problems in relation with HTTP request anticipation. [6].…”
Section: A Application In Web Page Anticipationmentioning
confidence: 99%
“…In this whole process of the Anticipation Markov model is used as the adaptive model which changes its data structure and mechanism according to the user demands. [6].…”
Section: A Application In Web Page Anticipationmentioning
confidence: 99%
“…al. [32] proposed CitationCluster algorithm using co-citation and coupling similarity between web pages to conceptually cluster them. The algorithm is applied on a Markov model in order to construct a conceptual hierarchy and support link prediction.…”
Section: Related Workmentioning
confidence: 99%
“…It is particularly difficult to perform the discovery of missing or developing links in a certain network of interest (Liben-Nowell and Kleinberg 2007). However, link prediction is very useful to help: infer the underlying complete network (from partially observed structures) (Marchette and Priebe 2008;Kim and Leskovec 2011), understand the evolution of networks (Bringmann et al 2010;Barabâsi et al 2002) and predict hyperlinks in heterogeneous social networks (Zhu et al 2002). Traditionally, most of the approaches for detecting unobserved links are based on topological information, including neighbour-based metrics, path-based metrics and random walk-based metrics (Wang et al 2015).…”
Section: Introductionmentioning
confidence: 99%