Expert Recommendation Algorithm for Enterprise Engineering Problems

Abstract

Enterprises often encounter various engineering problems in the production line,which need the help of experts to be effectively solved.The current academic recommendation system could not deeply explore the underlying knowledge connection between the problem and the solution,or could not recommend suitable experts for engineering problems.The systematic research on how to recommend experts for the enterprise engineering problems to be solved is as follows.1)The influence of experts is calculated based on the expert co-author network,and the partial order information between co-authors is formed by combining the author order information.A topic model integrating co-author partial order information is proposed:APO-ACT model,which makes the author-conference-topic (ACT) model mine core experts better and more suitable for recommendation systems.2)Problem knowledge model can mine the underlying knowledge connection between the problem and the solution.Based on the database of enterprise innovation methods problems,an expert recommendation algorithm for the text description of enterprise engineering problems to be solved combining theory,technology and experience is proposed.Experiments show that the APO-ACT-based recommendation method can better mine core experts while ensuring the recommendation accuracy,which is superior to content-based recommendation and ACT model-based recommendation.

Keywords

• co-author network|topic extraction|academic recommendation|act model