Link prediction and path analysis using Markov chains

By R. Sarukkai. Comput. Networks, 2000

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Introduction to the special topic section on mining Web resources for enhancing information retrieval (2007, methodology): “Sarukkai (2000) constructed first-order Markov models to study the categories of pages requested by a Web surfer.”
A probabilistic model to resolve diversity–accuracy challenge of recommendation systems (2015, background): “Such models have many applications in analyzing users’ behavior [7,19,21,26].”
A Survey of Link Prediction in Social Networks (2011, background): “The link prediction problem has also been studied previously in the context of relational data [53, 46, 47] and also in the Internet domain [50], where explicit graph representations were not used.”
Web Usage Mining as a Tool for Personalization: A Survey (2003, methodology): “On the same task, Sarukkai (2000) employs Markov chains to model sequences of Web pages.”
Data Mining for Web Personalization (2007, methodology): “In Web usage analysis, they have been proposed as the underlying modeling machinery for Web prefetching applications or to minimize system latencies [35, 98, 107, 113].”