Agents that reduce work and information overload
Communications of the ACM
Learning implicit user interest hierarchy for context in personalization
Proceedings of the 8th international conference on Intelligent user interfaces
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This paper presents our research into intelligent agentsbased Human-Computer interactions. Our goal is to design personalized information systems. For that, the aim of their intelligent interfaces is to understand the users needs, to identify his/her preferences and, to satisfy his/her expectations.We then propose to design the interfaces with intelligent agents. This research is applied to traveler information design in transportation systems (Predit Agen- Perso project).