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Web Markov Skeleton Processes and Applications in Web Page Ranking

Yuting LIU
Beijing Jiaotong University

In this talk, we want to introduce and discuss a new class of processes, web Markov skeleton processes (WMSP), arising from information retrieval on the Web. The framework of WMSP covers various known classes of processes, such as Markov chains and semi-Markov processes; it contains also important new classes of processes, such as mirror semi-Markov processes. We mainly state some applications of WMSPs in computing page importance on the Web.