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1	Candidate - job recommendation system : Building a prototype of a machine learning – based recommendation system for an online recruitment company Hafizovic, Nedzad January 2019 (has links) Recommendation systems are gaining more popularity because of the complexity of problems that they provide a solution to. There are many applications of recommendation systems everywhere around us. Implementation of these systems differs and there are two approaches that are most distinguished. First approach is a system without Machine Learning, while the other one includes Machine Learning. The second approach, used in this project, is based on Machine Learning collaborative filtering techniques. These techniques include numerous algorithms and data processing methods. This document describes a process that focuses on building a job recommendation system for a recruitment industry, starting from data acquisition to the final result. Data used in the project is collected from the Pitchler AB company, which provides an online recruitment platform. Result of this project is a machine learning based recommendation system used as an engine for the Pitchler AB IT recruitment platform. machine learning recommendation systems collaborative filtering mode-based matrix factorization data analysis python supervised learning recruitment platform singular value decomposition non-negative matrix factorization Computer Systems Datorsystem
2	Novel Characteristic-Mode-Based Synthesis and Analysis Method for Reflectarray Antennas Maalik, Abdul 13 November 2020 (has links) No description available. Electrical Engineering Electromagnetics

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Candidate - job recommendation system : Building a prototype of a machine learning – based recommendation system for an online recruitment company

Novel Characteristic-Mode-Based Synthesis and Analysis Method for Reflectarray Antennas