On Using Artificial Intelligence in the Search of the Best Professional Resumes
ResumoDigital transformation has changed how companies develop, manufacture and deliver their products and services. The search for competitiveness and greater market share have been driven companies to use automation and digital technologies to become more attractive and continue to deliver value to their customers. However, the human factor remains decisive for the company´s success. In this context, the Human Resources (HR) team has the role of strategically improving the company composition. In this paper, we present the development of an application, based on Artificial Intelligence and Digital Data Processing tools, with the aim of helping HR teams to seek talents and, thereby, to contribute to the business success. This application was tested and validated by using real-world databases of professional resumes.
D.A. Adeniyi, Z. Wei, and Y. Yongquan. 2016. Automated web usage data mining and recommendation system using K-Nearest Neighbor (KNN) classification method. Applied Computing and Informatics 12, 1 (2016), 90–108. https://doi.org/10.1016/j.aci.2014.10.001
Fida Afiouni. 2021. Human Resource Management and Knowledge Management: A Road Map toward improving organizational performance. 11 (10 2021), 124–130.
Owais Ahmed. 2018. Artificial Intelligence in HR. International Journal of Research and Analytical Reviews 5, 4(2018), 971–978.
Suad A Alasadi and Wesam S Bhaya. 2017. Review of data preprocessing techniques in data mining. Journal of Engineering and Applied Sciences 12, 16 (2017), 4102–4107.
Ahilton Barreto, Márcio Barros, and Claudia Maria Werner. 2005. Apoio à Alocação de Recursos Humanos em Projetos de Software: Uma Abordagem Baseada em Satisfação de Restrições. In Anais do IV Simpósio Brasileiro de Qualidade de Software (Porto Alegre-RS). SBC, Porto Alegre, RS, Brasil, 13–27. https://doi.org/10.5753/sbqs.2005.16151
Gary S Becker. 1993. Nobel lecture: The Economic way of looking at behavior. Journal of political economy 101, 3 (1993), 385–409.
Alexandre Bento, Amal Zouaq, and Michel Gagnon. 2020. Ontology Matching using Convolutional Neural Networks. In Proceedings of the 12th language resources and evaluation conference. 5648–5653.
Alysson Neves Bessani, Ricardo Mendes, Tiago Oliveira, Nuno Ferreira Neves, Miguel Correia, Marcelo Pasin, and Paulo Verissimo. 2014. SCFS: A Shared Cloud-backed File System.. In USENIX Annual Technical Conference. Citeseer, 169–180.
Yuriy Bilan, Halyna Mishchuk, Iryna Roshchyk, and Olena Joshi. 2020. Hiring and retaining skilled employees in SMEs: problems in human resource practices and links with organizational success. Business: Theory and Practice 21, 2 (2020), 780–791.
J Stewart Black and Patrick van Esch. 2020. AI-enabled recruiting: What is it and how should a manager use it?Business Horizons 63, 2 (2020), 215–226.
Daniel J Brass. 2003. A social network perspective on human resources management. Networks in the Knowledge Economy, Oxford University Press, New York, NY (2003), 283–323.
Ana Maria Roux Valentini Coelho CÉSAR, CODA Roberto, and Mauro Neves Garcia. 2010. Um novo RH?-avaliando a atuação e o papel da área de RH em organizações brasileiras. FACEF Pesquisa-Desenvolvimento e Gestão 9, 2 (2010).
Nitesh Chawla, Kevin Bowyer, Lawrence Hall, and W. Kegelmeyer. 2002. SMOTE: Synthetic Minority Over-sampling Technique. J. Artif. Intell. Res. (JAIR) 16 (06 2002), 321–357. https://doi.org/10.1613/jair.953
Daniel Y Chen. 2017. Pandas for everyone: Python data analysis. Addison-Wesley Professional.
Jie Chen, Chunxia Zhang, and Zhendong Niu. 2018. A two-step resume information extraction algorithm. Mathematical Problems in Engineering 2018 (2018).
Serena H Chen, Anthony J Jakeman, and John P Norton. 2008. Artificial Intelligence Techniques: An Introduction to their use for Modelling Environmental Systems. Mathematics and computers in simulation 78, 2-3 (2008), 379–400.
Zhuo Chen, Lan Jiang Zhou, Xuan Da Li, Jia Nan Zhang, and Wen Jie Huo. 2020. The Lao text classification method based on KNN. Procedia Computer Science 166 (2020), 523–528.
Davide Chicco and Giuseppe Jurman. 2020. The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation. BMC genomics 21, 1 (2020), 1–13.
et al Cunningham. 2014. Developing Language Processing Components with GATE Version 8. (2014).
Jessyca Rodrigues Henrique da Silva and Leilianne Michelle Trindade da Silva. 2019. O uso da tecnologia no recrutamento e seleção de pessoas: Um estudo no setor hoteleiro. PODIUM Sport, Leisure and Tourism Review 8, 2 (2019), 192–210.
Martony Demes da Silva. 2021. Aplicação da Ferramenta Google Colaboratory no Ensino de Ciências de Dados. In Anais do XVII Simpósio Brasileiro de Sistemas Colaborativos. SBC, 13–22.
Chirag Daryani, Gurneet Singh Chhabra, Harsh Patel, Indrajeet Kaur Chhabra, and Ruchi Patel. 2020. An automated resume screening system using natural language processing and similarity. ETHICS AND INFORMATION TECHNOLOGY [Internet]. VOLKSON PRESS (2020), 99–103.
Susana del Cerro Ramon, Cristina Rodríguez-Rivas, Sara Vidal, Marta Escabrós, and Ursula Oberst. 2017. Interpersonal perception of LinkedIn profiles and employability/Percepció interpersonal de perfils a LinkedIn i ocupabilitat. Aloma: Revista de Psicologia, Ciències de l'Educació i de l'Esport 35, 2(2017), 13–22.
Francinaldo do Monte Pinto and Gabrielle Bezerra Gomes. 2012. Seleção por competência: Ficção ou possibilidade?Psicologia Argumento 30, 71 (2012).
Christof Ebert and Carlos Henrique C Duarte. 2018. Digital Transformation.IEEE Softw. 35, 4 (2018), 16–21.
Mihaela-Irina ENACHESCU. 2019. Screening the Candidates in IT Field Based on Semantic Web Technologies: Automatic Extraction of Technical Competencies from Unstructured Resumes. Informatica Economica 23 (12 2019), 51–65. https://doi.org/10.12948/issn14531305/23.4.2019.05
João Ferreira, Hugo Gonçalo Oliveira, and Ricardo Rodrigues. 2019. Improving NLTK for processing Portuguese. In 8th Symposium on Languages, Applications and Technologies (SLATE 2019). Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.
Angelo Augusto Frozza, Ronaldo dos Santos Mello, and Felipe de Souza da Costa. 2018. An approach for schema extraction of JSON and extended JSON document collections. In 2018 IEEE International Conference on Information Reuse and Integration (IRI). IEEE, 356–363.
Bernard Gagnon and Pierre Hadaya. 2018. The four Dimensions of Business Agility. (2018).
R Geetha and Sree Reddy D Bhanu. 2018. Recruitment through Artificial Intelligence: A Conceptual Study. International Journal of Mechanical Engineering and Technology 9, 7(2018), 63–70.
Mihai Gheorghe, Florin-Cristian Mihai, and Marian Dârdală. 2018. Modern techniques of web scraping for data scientists. International Journal of User-System Interaction 11, 1(2018), 63–75.
S Gowrishankar and A Veena. 2018. Introduction to Python programming. Chapman and Hall/CRC.
Nigel Guenole and Sheri Feinzig. 2018. The Business Case for AI in HR. (nov 2018), 36.
Charles R Harris, K Jarrod Millman, Stéfan J van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J Smith, et al. 2020. Array programming with NumPy. Nature 585, 7825 (2020), 357–362.
Elisa Huzita, Tania Fatima Tait, and Fabiana de Lima. 2005. Uma contribuição ao gerenciamento de projetos de software na seleção de recursos humanos. In Anais do II Simpósio Brasileiro de Sistemas de Informação (Florianópolis). SBC, Porto Alegre, RS, Brasil, 42–49. https://doi.org/10.5753/sbsi.2005.14966
Karwan Jacksi and Shakir M Abass. 2019. Development history of the world wide web. Int. J. Sci. Technol. Res 8, 9 (2019), 75–79.
Mohammad Hossein Jarrahi. 2018. Artificial Intelligence and the Future of Work: Human-AI symbiosis in Organizational decision making. Business Horizons 61, 4 (2018), 577–586.
Jennifer Johansson and Senja Herranen. 2019. The Application of Artificial Intelligence (AI) in Human Resource Management: Current state of AI and its impact on the traditional recruitment process.
Diksha Khurana, Aditya Koli, Kiran Khatter, and Sukhdev Singh. 2017. Natural Language Processing: State of the Art, Current Trends and Challenges. arXiv preprint arXiv:1708.05148(2017).
Mei Kobayashi and Koichi Takeda. 2000. Information retrieval on the web. ACM Computing Surveys (CSUR) 32, 2 (2000), 144–173.
Oleksii Kononenko, Olga Baysal, Reid Holmes, and Michael W Godfrey. 2014. Mining Modern Repositories with Elasticsearch. In Proceedings of the 11th working conference on mining software repositories. 328–331.
Milan Kubina, Michal Varmus, and Irena Kubinova. 2015. Use of Big Data for Competitive Advantage of Company. Procedia Economics and Finance 26 (2015), 561–565.
Taylor R Lee, Warren T Wood, and Benjamin J Phrampus. 2019. A machine learning (kNN) approach to predicting global seafloor total organic carbon. Global Biogeochemical Cycles 33, 1 (2019), 37–46.
Ulrich Lichtenthaler. 2020. Integrated Intelligence: Combining Human and Artificial Intelligence for Competitive Advantage, Plus E-Book Inside (ePub, Mobi Oder Pdf). Campus Verlag GmbH.
Riaz Mangi. 2009. Human Capital a Source of Competitive Advantage “Ideas for Strategic Leadership”. Australian Journal of Basic and Applied Sciences, 3(4): 4182-4189, 2009 ISSN 1991-8178 3 (12 2009), 4182–4189.
Abdul Kadar Muhammad Masum, Loo-See Beh, Md Abul Kalam Azad, and Kazi Hoque. 2018. Intelligent Human Resource Information System (i-HRIS): A Holistic Decision Support Framework for HR excellence.Int. Arab J. Inf. Technol. 15, 1 (2018), 121–130.
Aaron E Maxwell, Timothy A Warner, and Luis Andrés Guillén. 2021. Accuracy assessment in convolutional neural network-based deep learning remote sensing studies—Part 1: Literature review. Remote Sensing 13, 13 (2021), 2450.
Wes McKinney. 2019. Python para análise de dados: Tratamento de dados com Pandas, NumPy e IPython. Novatec Editora.
Kevin M Mendez, Leighton Pritchard, Stacey N Reinke, and David I Broadhurst. 2019. Toward collaborative open data science in metabolomics using Jupyter Notebooks and cloud computing. Metabolomics 15, 10 (2019), 1–16.
Natalia Miloslavskaya and Alexander Tolstoy. 2016. Big Data, fast data and data lake concepts. Procedia Computer Science 88 (2016), 300–305.
Ravina Mithe, Supriya Indalkar, and Nilam Divekar. 2013. Optical Character Recognition. International journal of recent technology and engineering (IJRTE) 2, 1(2013), 72–75.
IV Moskalev, OS Krotova, LA Khvorova, and DG Bobkova. 2020. Extraction of structured data from unstructured medical records using text data mining technologies: process automation. In Journal of Physics: Conference Series, Vol. 1615. IOP Publishing, 012031.
Martin Obschonka and David B Audretsch. 2020. Artificial intelligence and Big Data in Entrepreneurship: A new era has begun. Small Business Economics 55, 3 (2020), 529–539.
Nicole Bernadette Ong, Wei-Ling Wu, Kwok-Fong Chan, and Samuel Ken-En Gan. 2020. Application Notes: AI-based Research Grant Audits-A* Grant Audit Flagging System (A* GAFS). APD Trove 3(2020).
Signe Poulsen and Christine Ipsen. 2017. In times of change: How distance managers can ensure employees’ wellbeing and organizational performance. Safety science 100(2017), 37–45.
Foster Provost and Tom Fawcett. 2013. Data Science and its relationship to Big Data and data-driven decision making. Big data 1, 1 (2013), 51–59.
Mark Purdy, John Zealley, and Omaro Maseli. 2019. The Risks of Using AI to Interpret Human Emotions. https://hbr.org/2019/11/the-risks-of-using-ai-to-interpret-human-emotions
Sapna Rakesh, Geeti Sharna, Indrani Bhattacharjee, and Komal Kapoor. 2021. Case Book on Human Capital Management. Bloomsbury, India. https://doi.org/10.4324/9780429494475
Sebastian Raschka, Joshua Patterson, and Corey Nolet. 2020. Machine learning in python: Main developments and technology trends in data science, machine learning, and artificial intelligence. Information 11, 4 (2020), 193.
Peter Reilly. 2018. The Impact of Artificial Intelligence on the HR function.
Meredith Somers. 2019. Emotion AI, explained. https://mitsloan.mit.edu/ideas-made-to-matter/emotion-ai-explained
P. Suganya and C.P. Sumathi. 2015. A Novel Metaheuristic Data Mining Algorithm for the Detection and Classification of Parkinson Disease. Indian Journal of Science and Technology 8 (07 2015). https://doi.org/10.17485/ijst/2015/v8i14/72685
Prasanna Tambe, Peter Cappelli, and Valery Yakubovich. 2019. Artificial Intelligence in Human Resources Management: Challenges and a path forward. California Management Review 61, 4 (2019), 15–42.
Ankit Tiwari, Sagar Vaghela, Rahil Nagar, and Mrunali Desai. 2019. Applicant Tracking and Scoring System. International Research Journal of Engineering and Technology (2019), 320–324.
Eloisa Vargiu and Mirko Urru. 2013. Exploiting Web Scraping in a Collaborative Filtering-based Approach to Web Advertising. Artificial Intelligence Research 2 (01 2013). https://doi.org/10.5430/air.v2n1p44
Yuli Vasiliev. 2020. Natural Language Processing with Python and SpaCy: A Practical Introduction. No Starch Press.
Serge-Lopez Wamba-Taguimdje, Samuel Fosso Wamba, Jean Robert Kala Kamdjoug, and Chris Emmanuel Tchatchouang Wanko. 2020. Influence of Artificial Intelligence (AI) on firm performance: The Business Value of AI-based Transformation Projects. Business Process Management Journal(2020).
Seyed Mahmoud Zanjirchi, Negar Jalilian, and Marzieh Shahmohamadi Mehrjardi. 2019. Open innovation: From Technology Exploitation to Creation of Superior Performance. Asia Pacific Journal of Innovation and Entrepreneurship (2019).
Dandan Zhu and Yan Cui. 2017. Understanding random guessing line in ROC curve. In 2017 2nd International Conference on Image, Vision and Computing (ICIVC). 1156–1159. https://doi.org/10.1109/ICIVC.2017.7984735