Content-based Recommender System for Food Recipes – Bc. Matúš Sedlák
Bc. Matúš Sedlák
Master's thesis
Content-based Recommender System for Food Recipes
Content-based Recommender System for Food Recipes
Abstract:
V dôsledku veľkého množstva informácií, ktoré prevláda na internete, môžu ľudia často čeliť tomu, že sa nevedia rozhodnúť, čo zjesť alebo aký recept si pripraviť. Práca ponúka nový odporúčací systém pre recepty, ktorý poskytuje vysokokvalitné a individualizované odporúčania. Zároveň predstavuje program, ktorý odporúča recepty podľa ich obsahu a analyzuje viaceré algoritmy, ktoré vyhodnocujú podobnosti …moreAbstract:
Because of the information overload prevalent on the Internet, people may frequently face the challenge of deciding what to eat or what recipe to prepare next. Thesis offers a novel food recipe recommender system that gives high-quality, individualized food recommendations. Simultaneously it presents a content-based recommender system and analyzes multiple similarity methods between the user profile …more
Language used: English
Date on which the thesis was submitted / produced: 14. 12. 2021
Identifier:
https://is.muni.cz/th/vdqix/
Thesis defence
- Date of defence: 2. 2. 2022
- Supervisor: RNDr. Josef Spurný, Ph.D.
- Reader: doc. Mouzhi Ge, Ph.D.
Citation record
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Software systems and services management / Software Systems Development Management
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