In this diploma thesis, we undertook an analysis of the ”Best Professor and
Best Assistant” selection process and, based on our findings, prepared a
proposal for improvements to the voting system. We reviewed the origins of
the selection and its original purpose, which helped us understand how the
voting mechanism should be designed. We analyzed current shortcomings
and specific features, and explored how altering the voting method impacts
the final outcome. We examined potential approaches and system upgrades
currently available to us, identifying two optimal solutions that maintain
simplicity of execution while coming closest to an ideal voting process. To
support implementation, we also developed a simple web application that
uses a fuzzy search algorithm to clean and structure inputs, preparing them
for final processing.
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