Hibridni priporočilni sistem za izposojo knjig v sistemu COBISS : magistrsko delo

Svenšek, Rene

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Title:	Hibridni priporočilni sistem za izposojo knjig v sistemu COBISS : magistrsko delo
Authors:	ID Svenšek, Rene (Author) ID Strnad, Damjan (Mentor) More about this mentor... ID Borovič, Mladen (Comentor) ID Krajnc, Andrej (Comentor)
Files:	MAG_Svensek_Rene_2025.pdf (2,17 MB) MD5: 26F5AAD3B9BCD8A31500B583B3CC79F4
Language:	Slovenian
Work type:	Master's thesis/paper
Typology:	2.09 - Master's Thesis
Organization:	FERI - Faculty of Electrical Engineering and Computer Science
Abstract:	V magistrskem delu obravnavamo razvoj in primerjavo različnih pristopov priporočilnih sistemov na področju knjižničnih sistemov. Najprej so predstavljeni teoretična izhodišča, uporabljene tehnologije in obdelava podatkov, ki so služili kot podlaga za implementacijo. V nadaljevanju so razviti in analizirani štirje pristopi: sodelovalno filtriranje, vsebinsko filtriranje ter mešani in kaskadni hibridni pristop. Eksperimentalni del temelji na vrednotenju z uporabo metrik HR@K, MRR@K in NDCG@K. Rezultati kažejo, da hibridni pristopi presegajo osnovne metode. Med njimi se je kot najbolj učinkovit izkazal kaskadni hibridni model, ki najbolje združuje prednosti obeh osnovnih tehnik in se prilagaja značilnostim knjižničnih podatkov.
Keywords:	hibridni priporočilni sistem, knjižnični sistem, sodelovalno filtriranje, vsebinsko filtriranje, obdelava naravnega jezika
Place of publishing:	Maribor
Place of performance:	Maribor
Publisher:	[R. Svenšek]
Year of publishing:	2025
Number of pages:	1 spletni vir (1 datoteka PDF (XI, 59 str.))
PID:	20.500.12556/DKUM-95140
UDC:	004.77:004.62(043.2)
COBISS.SI-ID:	257240579
Publication date in DKUM:	17.10.2025
Views:	193
Downloads:	61
Metadata:
Categories:	KTFMB - FERI
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Licences

License:	CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

Link:	http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:	The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:	05.09.2025

Secondary language

Language:	English
Title:	Hybrid recommender system for book lending in COBISS
Abstract:	In this master's thesis, the development and comparison of different approaches to recommendation systems in the field of library systems are dealt with. First, the theoretical foundations, technologies used and data processing that served as the basis for implementation are presented. Next, four approaches are developed and analysed: collaborative filtering, content-based filtering, mixed hybrid approach and cascade hybrid approach. The experimental part is based on evaluation, using the HR@K, MRR@K and NDCG@K metrics. The results show that hybrid approaches outperform basic methods. Among them, the cascade hybrid model proved to be the most effective, as it combines best the advantages of both basic techniques and adapts to the characteristics of library data.
Keywords:	hybrid recommender system, library system, collaborative filtering, content-based filtering, natural language processing

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