An Air Force Pilot Training Recommendation System Using Advanced Analytical Methods

References

• Colbath DJ (2020) A model to analyze the capacity of pilot training production. Unpublished master’s thesis, Air Force Institute of Technology, Wright-Patterson Air Force Base, OH.Google Scholar
• Ekstrand MD, Riedl JT, Konstan JA (2011) Collaborative filtering recommender systems. Foundations Trends Human-Comput. Interaction 4(2):81–173.Google Scholar
• Forrest NC (2020) Conceptualization and application of deep learning and applied statistics for flight plan recommendation. Unpublished master’s thesis, Air Force Institute of Technology, Wright-Patterson Air Force Base, OH.Google Scholar
• Koren Y (2008) Factorization meets the neighborhood: A multifaceted collaborative filtering model. KDD’08 Proc. 14th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (Association for Computing Machinery), 426–434.Google Scholar
• Koren Y, Bell R, Volinsky C (2009) Matrix factorization techniques for recommender systems. Technical report, IEEE Computer Society, Washington, DC. Accessed September 15, 2020, https://data-science/data-science-repo/Recommender-Systems-[Netflix].pdf.Google Scholar
• Korger C (2019) The road to wings: How to become a US Air Force pilot. Accessed September 15, 2020, https://sofrep.com/fightersweep/how-to-become-a-us-air-force-pilot/.Google Scholar
• Linden G, Smith B, York J (2003) Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet Comput. 7(1):76–80.Google Scholar
• McRae J (2017) AF addresses pilot shortage. Accessed September 15, 2020, https://www.af.mil/News/Article-Display/Article/1135435/af-addresses-pilot-shortage/.Google Scholar
• Miller BN (1995) GroupLens: An open architecture for collaborative filtering. Technical report, Pennsylvania State College of Information, Science, and Technology, University Park, PA. Accessed September 15, 2020, http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.38.3784&rep=rep1&type=pdf.Google Scholar
• Ricci F, Rokach L, Shapira B, Kantor PB, eds. (2011) Recommender Systems Handbook (Springer Science+Business Media, LLC, New York).Google Scholar
• Sanghavi B, Rathod R, Mistry D (2014) Recommender systems—comparison of content-based filtering and collaborative filtering. Internat. J. Curr. Engrg. Tech.. 4(5):3131–3133.Google Scholar
• Srivastava A, Bala PK, Kumar B (2019) New perspectives on gray sheep behavior in E-commerce recommendations. J. Retailing Consumer Services 53:1–11.Google Scholar
• Xie J, Wang Q (2018) Benchmark machine learning approaches with classical time series approaches on the blood glucose level prediction challenge. CEUR Workshop Proc. 2148:97–102.Google Scholar