Computer Science ›› 2022, Vol. 49 ›› Issue (1): 159-165.doi: 10.11896/jsjkx.201200227

• Database & Big Data & Data Science • Previous Articles     Next Articles

Expert Recommendation Algorithm for Enterprise Engineering Problems

MA Jian-hong, ZHANG Tong   

  1. School of Artificial Intelligence and Data Science,Hebei University of Technology,Tianjin 300401,China
  • Received:2020-12-26 Revised:2021-05-26 Online:2022-01-15 Published:2022-01-18
  • About author:MA Jian-hong,born in 1965,Ph.D,professor,is a member of China Computer Federation.Her main research interests include software engineering,natural language processing,knowledge graph and innovation theories.
    ZHANG Tong,born in 1995,postgra-duate.His main research interests include software engineering and natural language processing.
  • Supported by:
    Special Project of Innovative Methods of Ministry of Science and Technology(2019IM020300).

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.

Key words: Academic recommendation, ACT model, Co-author network, Topic extraction

CLC Number: 

  • TP391.1
[1]XIONG H X,LI Y Y.Research on the model of scholar recommendation and cross-language paper recommendation based on word2vec[J].Information Science,2019,37(12):19-26.
[2]WEST J D,WESLEY-SMITH I,BERGSTROM C T.A recommendation system based on hierarchical clustering of an article-level citation network[J].IEEE Transactions on Big Data,2016,2(2):113-123.
[3]CAI X,HAN J,LI W,et al.A three-layered mutually reinforced model for personalized citation recommendation[J].IEEE Transactions on Neural Networks and Learning Systems,2018,29(12):6026-6037.
[4]LI F,ZHANG H M,CAI X Y,et al.Improved method for personalized query citation recommendation[J].Application Research of Computer,2019,36(8):2289-2293.
[5]TANNER W,AKBAS E,HASAN M.Paper recommendationbased on citation relation[C]//2019 IEEE International Confe-rence on Big Data (Big Data).IEEE,2019:3053-3059.
[6]MA Y,YANG Q,LIU B,et al.A graph-based recommendation method for the academic community[C]//2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS).IEEE,2018.
[7]CHEN Y,DONG H,WANG W.Topic-graph based recommendation on social tagging systems:A study on research gate[C]//Proceedings of the 2018 International Conference on Data Science and Information Technology.2018:138-143.
[8]WU L,YUE F,WANG H R,et al.A method of recommendingacademic papers by integrating researchers' labels[J].Computer Science,2020,47(2):51-57.
[9]WANG G,HE X R,ISHUGA C I.HAR-SI:A novel hybrid article recommendation approach integrating with social information in scientific social network[J].Knowledge-Based Systems,2018,148:85-99.
[10]HE Y,WANG L,MAO C,et al.Friend Recommendation Model Based on Multi-dimensional Academic Feature and Attention Mechanism[M]//Computer Supported Cooperative Work and Social Computing.Springer,Singapore,2019.
[11]TU W H,JING L B.Research on the method of academic clustering and academic impact evaluation based on the author's theme model[J].Information and Documentation Services,2020,41(4):60-66.
[12]LI C Y,TANG Y,XIAO Z H,et al.Authoritative scholar re-commendation model in academic social networks[J].Journal of Computer Applications,2020,40(9):2594-2599.
[13]XIA F,CHEN Z,WANG W,et al.MVCWalker:Random walk-based most valuable collaborators recommendation exploiting academic factors[J].IEEE Transactions on Emerging Topics in Computing,2014,2(3):364-375.
[14]CHEN M,LI C,LIU J,et al.Scholar Recommendation Model in Large Scale Academic Social Networking Platform[C]//International Conference on Human Centered Computing.Cham:Springer,2017:453-464.
[15]XIONG H X,YANG X P,JIANG W X,et al.Research on scho-lar recommendation based on academic ability and cooperative relationship network[J].Information Science,2019,37(5):71-78.
[16]AMAL S,TSAI C H,BRUSILOVSKY P,et al.Relational Social Recommendation:Application to the Academic Domain[J].Expert Systems with Applications,2019,124(JUN.):182-195.
[17]LUO S P.Capability model establishment and evaluation method[M].China Machine Press,2005.
[18]YANG J Y.Exploration of evaluation model of technical experts'ability to perform their duties[J].Human Resources,2020 (2):104.
[19]TANG J,ZHANG J,YAO L,et al.Arnetminer:extraction and mining of academic social networks[C]//Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.ACM,2008:990-998.
[20]MIKOLOV T,CORRADO G,CHEN K,et al.Efficient estimation of word representations in vector space[C]//Proceedings of the International Conference on Learning Representations (ICLR 2013).2013.
[21]MIMNO D M,WALLACH H M,TALLEY E M,et al.Optimizing semantic coherence in topic models[C]//Conference on Empirical Methods in Natural Language Processing.Association for Computational Linguistics,2011.
[1] WANG Zi-kai, ZHU Jian, ZHANG Bo-jun, HU Kai. Research and Implementation of Parallel Method in Blockchain and Smart Contract [J]. Computer Science, 2022, 49(9): 312-317.
[2] ZHANG Rui, JIN Zhi-gang and WANG Ying. Recommendation Model of Microblog User Tags Based on Hybrid Grain [J]. Computer Science, 2016, 43(4): 192-196.
[3] CAI Hai-ni, CHEN Cheng, WEN Jun-hao, WANG Xi-bin and ZENG Jun. Personalized Location Recommendation Algorithm Research Based on User Check-ins and Geographical Properties [J]. Computer Science, 2016, 43(12): 163-167.
[4] WANG Zhen-zhen. Survey of Model Checking [J]. Computer Science, 2013, 40(Z6): 1-14.
[5] SHI Dian-xi,WU Zhen-dong and DING Bo. Research and Implementation of Large-scale Context Management Framework Based on Terminal and Cloud [J]. Computer Science, 2013, 40(6): 84-89.
[6] Luan Jing;Gu JunZhong. [J]. Computer Science, 2005, 32(8): 209-212.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!