Siteseer: personalized navigation for the Web
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Automatic personalization based on Web usage mining
Communications of the ACM
Discovering Relevant Scientific Literature on the Web
IEEE Intelligent Systems
Knowledge logistics in information grid environment
Future Generation Computer Systems - Special issue: Semantic grid and knowledge grid: the next-generation web
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
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Collaborative team members usually come from diverse disciplines; their demands for knowledge are also different from each other. This paper is mainly concerned with how to capturing designers' knowledge demands in collaborative team. With the view from workflow, designers' knowledge demand is modeled from three aspects, members, roles, and tasks' requirements for knowledge. Based on the model of knowledge demand, some intelligent mining methods are proposed so that designers' knowledge demand could be derived automatically. With the knowledge demand model, a knowledge supply system could be developed to realize: knowledge within an appropriate domain could be delivered to the proper user among the collaborative team.