Abstract
The overwhelming amount of knowledge discovered form product data necessitates mechanisms for efficient information filtering during complex product design. In order to overcome the incompatibility of the traditional collaborative filtering algorithm in product design knowledge recommendation, A process-centric design knowledge management model is given, in which knowledge is reasonably classified and effectively organized. A task based knowledge recommendation algorithm considering task similarity and time factor is given. Application of the model and algorithm on construction machinery engine design support system is introduced and discussed.
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