Modeling of user preference based on agent
Wang Yong-feng · Ha'erbin gongye daxue xuebao · 2007
We present a technical architecture based on agent for user preference model involved in dynamic access to wireless network,and show the nature of the problem represented within a Markov decision process(MDP) combined with adaptive reinforcement learning algorithm.A possible candidate solution is provided for user modeling dynamically to satisfy the users' expected preference based on minimal or missing information,which is also a exploration for the evaluation of the user experience when selecting service providers.