Personalized Intelligent Push Method of Design Tasks for Designers in the Hackerspace

Abstract

In order to improve the efficiency and quality of the design tasks of Hackerspace and reduce the waste of designer resources, the personalized intelligent push method of design tasks for designers in the Hackerspace is proposed. Extracting the relevant information of designers in the database of traditional Hackerspace platform, the personalized feature model of designers is generated based on the KSAO theory and updated synchronously. Being intelligently analyzed by the Hackerspace platform, the design task demand vector is generated and then the design task demand vector set will be formed. With the adoption of the method proposed in this paper, the matching degree between designers and design tasks can be calculated, so as to implement the push of specific design tasks to particular designers. Taking the creative design of injection molding machine parts as an example, the feasibility of this method in engineering application is verified.