Abstract
Markov model has been used to model user navigational behavior on the World Wide Web. Most existing Markov models based on recommendation algorithms make recommendation just through Web server logs without Web topology. In this chapter, a time–space hybrid Markov model (TSHMM) recommendation algorithm is proposed. First we build both time model from Web log and space model from Web topology respectively. Then we build time–space hybrid model by combining time model with space model. Hybrid model can make recommendation according to user preferences. Some experiments are conducted to validate the hybrid model. The experimental results show that hybrid model can be successfully applied to Web recommendation.
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Zou, Xy. (2012). Time–Space Hybrid Markov Model. In: He, X., Hua, E., Lin, Y., Liu, X. (eds) Computer, Informatics, Cybernetics and Applications. Lecture Notes in Electrical Engineering, vol 107. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1839-5_67
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DOI: https://doi.org/10.1007/978-94-007-1839-5_67
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