A Bayesian Approach for User Modeling in Dialogue Systems

نویسندگان

  • Tomoyosi Akiba
  • Hozumi Tanaka
چکیده

User modeling is an iml>ortant COlnponents of dialog systems. Most previous approaches are rule-based methods, hi this paper, we proimse to represent user models th rough Bayesian networks. Some advantages of the Bayesian approach over the rule-based approach are as follows. First, rules for upda t ing user models are not necessary because upility theory; this provides us a more formal way of dealing with uncertainties. Second, the Bayesian network pro: r ides more detailed information of users' knowledge, because the degree of belief on each concept is provided in terms of prol~ability. We prove these advantages through a prelinfinary experiment.

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تاریخ انتشار 1994