基于用户偏好的产品设计知识的推送算法研究

随着知识经济的发展,汽车产品设计活动越来越依赖于有效的知识支持。针对国内汽车企业中普遍存在的设计知识重用率低、经验知识未充分利用等问题,对汽车产品设计知识进行分析与本体建模;在此基础上设计了基于用户偏好的产品设计知识的混合推送算法,将知识文本向量空间化并由本体标注,采用设计任务与用户偏好共同构造知识需求向量,通过计算知识需求向量与知识文本向量的语义相似性得到知识推送结果。最后通过算例对知识推送过程进行说明。

Research on Push Algorithm based on Design Knowledge of automotive product

With the development of knowledge economy, the design activities of cars are becoming more and more dependent on the effective support of knowledge. There are many common problems for the domestic automobile enterprises such as the confusion of knowledge management, the low reuse rate for the knowledge, the underused of the experience knowledge. This paper designs a hybrid push algorithm based on automotive product knowledge, which results the push list by calculating the semantic similarity between the knowledge demand vector and the text vector. For detailed, the knowledge texts are represented as the text vector space, the knowledge demand vectors are constructed by the design tasks and user interests. Finally an example is given.