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Reinforcement Learning Page Prediction for Hierarchically Ordered Municipal Websites

Public websites offer information on a variety of topics and services and are accessed by users with varying skills to browse the kind of electronic document repositories. However, the complex website structure and diversity of web browsing behavior create a challenging task for click prediction. Th...

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Autori principali: Petri Puustinen, Kostas Stefanidis, Jaana Kekäläinen, Marko Junkkari
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2021-05-01
Serie:Information
Soggetti:
clickstream analysis
markov model
deep learning
reinforcement learning
Q-learning
hierarchically ordered website
Accesso online:https://www.mdpi.com/2078-2489/12/6/231
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