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2000
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Mining User Behavior for Resource Prediction in Interactive Electronic Malls

8 years 10 months ago
Mining User Behavior for Resource Prediction in Interactive Electronic Malls
Applications in virtual multimedia catalogs are highly interactive. Thus, it is difficult to estimate resource demands required for presentation of catalog contents. In this paper, we propose a method to predict presentation resource demands in interactive multimedia catalogs. The prediction is based on the results of mining the virtual mall action log file. The log file typically contains information about previous user interests and browsing behavior. These data are used for modeling users' future behavior within a session. We define heuristics to generate a start-up user behavior model as a Continuous Time Markov Chain and adapt this model during a running session to the current user1 .
Silvia Hollfelder, Vincent Oria, M. Tamer Özs
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICMCS
Authors Silvia Hollfelder, Vincent Oria, M. Tamer Özsu
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