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Archivio digitale delle tesi discusse presso l’Università di Pisa

Tesi etd-09122023-195002


Tipo di tesi
Tesi di laurea magistrale
Autore
FERRARO, ALFONSO
URN
etd-09122023-195002
Titolo
Workflow per attività di Ranking in ambito Human Recruiting
Dipartimento
FILOLOGIA, LETTERATURA E LINGUISTICA
Corso di studi
INFORMATICA UMANISTICA
Relatori
relatore Monreale, Anna
relatore Ruggieri, Salvatore
Parole chiave
  • knime analytic platform
  • learning to rank
  • machine learning
  • python
  • ranklib
  • workflow
Data inizio appello
28/09/2023
Consultabilità
Non consultabile
Data di rilascio
28/09/2093
Riassunto
This thesis is about implementation and integration of learning to rank algorithms in python on KNIME Analytic Platform, resulting in the construction of a workflow capable of executing a ranking task for the human recruiting scenario. The work of thesis is developed in collaboration with the FINDHR (Fairness and Intersectional Non-Discrimination in Human Recommendation) project, and one of the requirements to meet was to provide an easy-to-use workflow for people without expertise in the programming field. The implementation of the learning to rank algorithms was achieved in two ways: with an extension of the platform that enables python code programming for complex tasks, and through the development of a custom extension, i.e., custom python-based nodes from scratch with our desired functionalities. In conclusion, the work of thesis granted a new feature on the KNIME analytic platform, that is, the ranking task, which was missing from the very start.
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