A Hybrid Book Recommender System Utilizing Diverse-Item Selection Algorithm – Bc. Martin Balucha
Bc. Martin Balucha
Master's thesis
A Hybrid Book Recommender System Utilizing Diverse-Item Selection Algorithm
A Hybrid Book Recommender System Utilizing Diverse-Item Selection Algorithm
Abstract:
Čitatelia pri výbere knihy často narážajú na problém zahltenia informáciami, ktorý je na Internete bežný. Vhodnou alternatívou k prehľadávaniu webu by bola aplikácia poskytujúca odporúčania kníh na základe užívateľových preferencií. Táto diplomová práca sa zaoberá návrhom, implementáciou a vyhodnotením odporúčacieho systému, ktorý používa filtrovanie na základe obsahu zohľadňujúce aj tabuľky obsahu …moreAbstract:
Readers may often encounter the problem of choosing the next book to read due to the information overload present on the Internet. A convenient alternative to searching the web would be an application that makes book recommendations based on the user's preferences. This diploma thesis is concerned with designing, implementing, and evaluating a book recommender system that uses content-based filtering …more
Language used: English
Date on which the thesis was submitted / produced: 18. 5. 2021
Identifier:
https://is.muni.cz/th/zd8v3/
Thesis defence
- Date of defence: 22. 6. 2021
- Supervisor: RNDr. Josef Spurný
- 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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