Research on Knowledge Demand Information Acquisition for Product Design

The demand of product design knowledge is complex and changeable, in order to solve the problem of how to efficiently obtain design knowledge demand, based on the analysis of context aware reasoning layer characteristics, constructs a context aware service system to obtain design knowledge needs. Bayesian method is used to design the knowledge category preference situation, and according to the characteristics of different situations, in order to choose the right and can integrate into the method recommended in the proposed collaborative filtering algorithm to obtain knowledge fusion preferences, and calculate the size by comparing multiple design knowledge demand expectations, the realization of active design knowledge acquisition based on the requirement of context awareness.