A Learning Interface Agent for User Behavior Prediction

Șerban, Gheorghe; Tarta, Adriana; Moldovan, Grigoreta Sofia

doi:10.1007/978-3-540-73110-8_55

Cited by 3 publications

(1 citation statement)

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“…Serban, A. Tarta, and G.S. Moldovan proposed a model called Learning Interface Agent which predicted user's behavior stochastically [4]. The actions which users performed on the interactive system for faculty admission were collected and analyzed to build a model which predicted the user's next action.…”

Section: Related Workmentioning

confidence: 99%

A Recommendation Agent for Mobile Phone Users Using Bayesian Behavior Prediction

Kim

Cho

2009

2009 Third International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies

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This paper presents a novel agent system which provides a user with useful recommendations of behavior and information based on behavior prediction. The agent understands user's context from a GPS sensor and a mobile phone, and predicts user's future behavior based on user's context. And the prediction of user's future behavior can be used to provide the user with the suggestion of performing behavior and/or the recommendation of information which are relevant to the predicted user's behavior. Here, behavior prediction is performed by Dynamic Bayesian Network, which can handle time-series data. The experimental results showed that the proposed agent system was enough to provide convenient recommendation services to users.

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Section: Related Workmentioning

confidence: 99%