Web User Clustering and Surfing Recommendation
Using Markov Model-based Methods
The problem of modeling and predicting Web users' browsing pattern has gained increasing attention. In this book, we present our methods for clustering and making recommendations to Web users and the applications to a real dataset generated by a Web-based knowledge management system, Livelink. The problem of clustering Web users and access sequences presents two unique challenges: the immense volume of data and the sequentiality of user navigation patterns. We propose to model user access sequences as stochastic processes, and a Mixture of Markov Model (MMM) based approach is taken to capture the sequential relationships inherent in user a…
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Produktdetails
- ISBN: 978-3-659-00136-9
- EAN: 9783659001369
- Produktnummer: 37751602
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2012
- Seitenangabe: 124 S.
- Masse: H22.0 cm x B15.0 cm x D0.7 cm 203 g
- Abbildungen: Paperback
- Gewicht: 203
Über den Autor
Dr. Yang Liu is currently an associate prof. in Shandong University, China. Her main areas of research are data mining and information retrieval. She has published around 30 papers in premier venues, including SIGIR, ICDM, WWW, TKDE, IPM, and JASIST. She has served as a Program Committee member for CIKM, WI-IAT and other conferences.
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