Original title: Jednoduchý doporučovací systém
Translated title: Simple Recommender System
Authors: Gorčák, Damián ; Rychlý, Marek (referee) ; Bartík, Vladimír (advisor)
Document type: Bachelor's theses
Year: 2022
Language: cze
Publisher: Vysoké učení technické v Brně. Fakulta informačních technologií
Abstract: [cze] [eng]
Odporucacie systemy su velmi dolezite pri vyhladavani roznych poloziek napriec internetom. Existuje mnoho algoritmov pre vytvaranie odporuceni. Cielom tejto prace bolo najst vhodne datove sady a vytvorit aplikaciu, ktora ich dokaze spracovat. Nasledne porovnat datove sady spolu s vybranymi algoritmami odporucacich systemov. Recommender systems are very important in searching for items all over the internet. There are many algorithms for creating recommendations. The main goal of this thesis was to find suitable datasets and make application, which would process them. After that, chosen algorithms for recommender systems are compared with selected datasets
Keywords: als; dataset; interaction matrix; machine learning; prediction; python; recommender systems; sgd; svd; als; datova sada; interakcna matica; odporuciace systemy; predikcia; python; sgd; strojove ucenie; svd

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/207385

Permalink: http://www.nusl.cz/ntk/nusl-558700


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Academic theses (ETDs) > Bachelor's theses