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Research on personalised recommendation algorithm for college students’ employment

  
10. Apr. 2023

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Gu L, Zhe Z, Zhu Y. Design and Implementation of Employment Recommendation Service Platform for College Graduates[J]. Educational Sciences: Theory and Practice, 2018, 18(5). Search in Google Scholar

Gu L. Design and Implementation of Employment Recommendation Service Platform for College Graduates[J]. C E Ca, 2017, 42(6):2485-2490. Search in Google Scholar

Xu L. College student employment data platform based on FPGA and machine learning[J]. Microprocessors and Microsystems, 2020(4):103471. Search in Google Scholar

Liu L, Zhai C. Research and Application of Data Mining in College Students’ Employment Based on Association Rules[J]. Computer and information science, 2017, 10(3):54-59. Search in Google Scholar

Carter T, Bell S, Horneland A M, et al. Standards for quality assurance of pre-employment medical examinations of seafarers: the IMHA Quality experience[J]. Int Marit Health, 2017, 68(2):99-101. Search in Google Scholar

Xiang L, Wei L. Personalized Recommendation Strategy and Algorithm Optimization on Cloud Computing Platform[J]. International Journal of Performability Engineering, 2018, 14(10):2492-2503. Search in Google Scholar

Wang W, Feng Q, Zhou F, et al. Personalized employment recommendation method based on semantic matching of requirements[J]. Journal of Physics Conference Series, 2019, 1213:052014. Search in Google Scholar

Dong F. Design and Implementation of College Graduation Employment Recommendation Service Platform under the Background of Big Data[J]. Educational Sciences: Theory and Practice, 2018, 18(6). Search in Google Scholar

Zhu C. Construction and research on the personalized employment recommendation system for college students based on hadoop platform[J]. Boletin Tecnico/Technical Bulletin, 2017, 55(8):760-766. Search in Google Scholar

Wang W, Liu J, Qiu S. Analysis of the Factors Affecting the Employment Quality of University Graduates by DEMATEL/ISM Method[J]. International Journal of Circuits, 2021, 15:847-858. Search in Google Scholar

Kidd S M. ‘Gaelic a Recommendation’: Language and Employment in the Nineteenth-Century Highlands[J]. Journal of Scottish Historical Studies, 2020, 40(2):77-102. Search in Google Scholar

Saini G. Do Attractiveness Rankings and Employment Experience Matter in Employee Recommendation[J]. Academy of Management Annual Meeting Proceedings, 2018, 2018(1):11705. Search in Google Scholar

Bures M, Ahmed B S. Employment of multiple algorithms for optimal path-based test selection strategy[J]. Information and software technology, 2019, 114(OCT.):21-36. Search in Google Scholar

Denila P G. Analysis of IT Graduates Employment Alignment Using C4.5 and Nave Bayes Algorithm[J]. International Journal of Advanced Trends in Computer Science and Engineering, 2020, 9(1):745-752. Search in Google Scholar

Ilich L M, Hlushak O M, Semenyaka S A. Modeling of employment structural transformations[J]. Financial and Credit Activity Problems of Theory and Practice, 2020, 1(32):251-259. Search in Google Scholar

Masinde J W. Employment of youth in Kenya in relation to COVID 19: A case of trans Nzoia county[J]. International Journal of Advanced Research, 2020, 8(11):1193-1201. Search in Google Scholar

Brkovi R, Vuini D. Equal opportunities and treatment in employment and occupation[J]. Zbornik radova Pravnog fakulteta Nis, 2020, 59(87):165-178. Search in Google Scholar

Xiaojun L. An improved clustering-based collaborative filtering recommendation algorithm[J]. Cluster Computing, 2017, 20(2): 1281-1288. Search in Google Scholar

Zheng G, Yu H, Xu W. Collaborative Filtering Recommendation Algorithm with ItemLabel Features[J]. International Core Journal of Engineering, 2020, 6(1):160-170. Search in Google Scholar

Siami-Namini S, Tavakoli N, Namin A-S. The performance of LSTM and Bi LSTM inforecasting time series[C]//2019 IEEE International Conference on Big Data (Big Data). IEEE, 2019: 3285-3292. Search in Google Scholar

Zhang Y, Qian T, Tang W. Buildings-to-distribution-network integration considering power transformer loading capability and distribution network reconfiguration[J]. Energy, 2022, 244. Search in Google Scholar

T. Qian, Xingyu Chen, Yanli Xin, W. H. Tang, Lixiao Wang. Resilient Decentralized Optimization of Chance Constrained Electricity-gas Systems over Lossy Communication Networks [J]. Energy, 2022, 239, 122158. Search in Google Scholar

T. Qian, Y. Liu, W. H Zhang, W. H. Tang, M. Shahidehpour. Event-Triggered Updating Method in Centralized and Distributed Secondary Controls for Islanded Microgrid Restoration[J]. IEEE Transactions on Smart Gird, 2020, 11(2): 1387-1395. Search in Google Scholar

CH Fang, YN Tao, JG Eang, et al. Mapping Relation of Leakage Currents of Polluted Insulators and Discharge Arc Area[J]. Frontiers in Energy Research, 2021. Search in Google Scholar

CH Fang, YN Tao, JG Eang, et al. Mapping Relation of Leakage Currents of Polluted Insulators and Discharge Arc Area[J]. Frontiers in Energy Research, 2021. Search in Google Scholar

Che, H., & Wang, J. (2020). A two-timescale duplex neurodynamic approach to mixed-integer optimization. IEEE Transactions on Neural Networks and Learning Systems, 32(1), 36-48 Search in Google Scholar

Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
1 Hefte pro Jahr
Fachgebiete der Zeitschrift:
Biologie, Biologie, andere, Mathematik, Angewandte Mathematik, Mathematik, Allgemeines, Physik, Physik, andere