Academic literature on the topic 'Job Embeddings'
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Journal articles on the topic "Job Embeddings"
Gereme, Fantahun, William Zhu, Tewodros Ayall, and Dagmawi Alemu. "Combating Fake News in “Low-Resource” Languages: Amharic Fake News Detection Accompanied by Resource Crafting." Information 12, no. 1 (2021): 20. http://dx.doi.org/10.3390/info12010020.
Full textGereme, Fantahun, William Zhu, Tewodros Ayall, and Dagmawi Alemu. "Combating Fake News in “Low-Resource” Languages: Amharic Fake News Detection Accompanied by Resource Crafting." Information 12, no. 1 (2021): 20. http://dx.doi.org/10.3390/info12010020.
Full textFernández-Reyes, Francis C., and Suraj Shinde. "CV Retrieval System based on job description matching using hybrid word embeddings." Computer Speech & Language 56 (July 2019): 73–79. http://dx.doi.org/10.1016/j.csl.2019.01.003.
Full textTuncer, Isilay, Kemal Can Kara, and Askin Karakas. "Determining abbreviations in Kariyer.net domain." New Trends and Issues Proceedings on Advances in Pure and Applied Sciences, no. 12 (April 30, 2020): 01–07. http://dx.doi.org/10.18844/gjpaas.v0i12.4980.
Full textKuodytė, Vilija, and Linas Petkevičius. "Education-to-Skill Mapping Using Hierarchical Classification and Transformer Neural Network." Applied Sciences 11, no. 13 (2021): 5868. http://dx.doi.org/10.3390/app11135868.
Full textChoi, Yunsu, and Jeongwon Cha. "Korean Named Entity Recognition and Classification using Word Embedding Features." Journal of KIISE 43, no. 6 (2016): 678–85. http://dx.doi.org/10.5626/jok.2016.43.6.678.
Full textHuq, Ziaul, and Faizul Huq. "Embedding JIT in MRP: The case of job shops." Journal of Manufacturing Systems 13, no. 3 (1994): 153–64. http://dx.doi.org/10.1016/0278-6125(94)90001-9.
Full textLee, Jaeyun, and Incheol Kim. "Visual Commonsense Reasoning with Vision-Language Co-embedding and Knowledge Graph Embedding." Journal of KIISE 47, no. 10 (2020): 985–98. http://dx.doi.org/10.5626/jok.2020.47.10.985.
Full textGuo, Teng, Feng Xia, Shihao Zhen, et al. "Graduate Employment Prediction with Bias." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (2020): 670–77. http://dx.doi.org/10.1609/aaai.v34i01.5408.
Full textArachie, Augustine Ebuka, Emmanuel Kalu Agbaeze, Hope Ngozi Nzewi, and Emmanuela Obianuju Agbasi. "Job crafting, a bottom-up job characteristic of academics with an embeddedness potential." Management Research Review 44, no. 7 (2021): 949–69. http://dx.doi.org/10.1108/mrr-07-2020-0432.
Full textDissertations / Theses on the topic "Job Embeddings"
Valgimigli, Lorenzo. "Job Recommendation Based on Deep Learning Methods for Natural Language Processing." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20467/.
Full textFleming, James. "The Moral Economy of Swedish Labour Market Co-operation and Job Security in the Neoliberal Era." Thesis, Uppsala universitet, Institutionen för kulturantropologi och etnologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447536.
Full textPombo, José Luís Fava de Matos. "Landing on the right job : a machine learning approach to match candidates with jobs applying semantic embeddings." Master's thesis, 2019. http://hdl.handle.net/10362/60405.
Full textBook chapters on the topic "Job Embeddings"
"Embedding skills training in economic development – Collective Education in Tasmania Case Study." In OECD Reviews on Local Job Creation. OECD, 2019. http://dx.doi.org/10.1787/890052a4-en.
Full textMkrttchian, Vardan. "Human Capital Management in the Context of the Implementation of Digital Intelligent Decision Support Systems and Knowledge Management." In Knowledge Management, Innovation, and Entrepreneurship in a Changing World. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2355-1.ch006.
Full textDarapureddy, Nagadevi, Muralidhar Kurni, and Saritha K. "A Comprehensive Study on Artificial Intelligence and Robotics for Machine Intelligence." In Methodologies and Applications of Computational Statistics for Machine Intelligence. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7701-1.ch011.
Full textMkrttchian, Vardan. "Human Capital Management in the Context of the Implementation of Digital Intelligent Decision Support Systems and Knowledge Management." In Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-9023-2.ch010.
Full textKuentzer, Lucas, Marcel Schwarzenbarth, Daniel Siladjev, and Georg Rock. "evoDash – A Transdisciplinary Vision for an Education Platform and a Simulation-Based Vehicle Development Process." In Advances in Transdisciplinary Engineering. IOS Press, 2020. http://dx.doi.org/10.3233/atde200066.
Full textConference papers on the topic "Job Embeddings"
Giabelli, Anna, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, and Andrea Seveso. "Skills2Graph: Processing million Job Ads to face the Job Skill Mismatch Problem." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/708.
Full textSchnitzer, Steffen, Dominik Reis, Wael Alkhatib, Christoph Rensing, and Ralf Steinmetz. "Preselection of documents for personalized recommendations of job postings based on word embeddings." In SAC '19: The 34th ACM/SIGAPP Symposium on Applied Computing. ACM, 2019. http://dx.doi.org/10.1145/3297280.3297602.
Full textLacic, Emanuel, Markus Reiter-Haas, Tomislav Duricic, Valentin Slawicek, and Elisabeth Lex. "Should we embed? A study on the online performance of utilizing embeddings for real-time job recommendations." In RecSys '19: Thirteenth ACM Conference on Recommender Systems. ACM, 2019. http://dx.doi.org/10.1145/3298689.3346989.
Full textLuo, Haiyan, Shichuan Ma, Anand Joseph Bernard Selvaraj, and Yu Sun. "Learning job representation using directed graph embedding." In KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2019. http://dx.doi.org/10.1145/3326937.3341263.
Full textZhang, Le, Ding Zhou, Hengshu Zhu, et al. "Attentive Heterogeneous Graph Embedding for Job Mobility Prediction." In KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2021. http://dx.doi.org/10.1145/3447548.3467388.
Full textHuang, Shell Ying, Xi Guo, Wen Jing Hsu, and Wei Lin Lim. "Embedding simulation in yard crane dispatching to minimize job tardiness in container terminals." In 2012 Winter Simulation Conference - (WSC 2012). IEEE, 2012. http://dx.doi.org/10.1109/wsc.2012.6465137.
Full textRomadon, Annalisa Wahyu, Kemas M. Lhaksmana, Isman Kurniawan, and Donni Richasdy. "Analyzing TF-IDF and Word Embedding for Implementing Automation in Job Interview Grading." In 2020 8th International Conference on Information and Communication Technology (ICoICT). IEEE, 2020. http://dx.doi.org/10.1109/icoict49345.2020.9166364.
Full textJaramillo, Catalina M., Paul Squires, Harold G. Kaufman, Andre Mendes da Silva, and Julian Togelius. "Word embedding for job market spatial representation: tracking changes and predicting skills demand." In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. http://dx.doi.org/10.1109/bigdata50022.2020.9377850.
Full textAdshead, Deborah Alison. "Embedding Information Rights into Higher Education in the UK." In Third International Conference on Higher Education Advances. Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/head17.2017.5272.
Full textLópez-Parra, Marcelo, Vicente Borja, Alejandro Ramírez-Reivich, and Osiris Ricardo-Torres. "Embedding the Innovation Process in the CDMIT: Mexican Engineers Face New Challenges Today." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-70167.
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