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undergraduate thesis
Implementacija dockeriziranog REST API servisa za preporuke Wiki stranica korištenjem Minikubea
2023. urn:nbn:hr:289:070880
Pandžić, Ivan
University of Applied Sciences in Information Technology

Cite this document

Pandžić, I. (2023). Implementacija dockeriziranog REST API servisa za preporuke Wiki stranica korištenjem Minikubea (Undergraduate thesis). Zagreb: University of Applied Sciences in Information Technology. Retrieved from https://urn.nsk.hr/urn:nbn:hr:289:070880

Pandžić, Ivan. "Implementacija dockeriziranog REST API servisa za preporuke Wiki stranica korištenjem Minikubea." Undergraduate thesis, University of Applied Sciences in Information Technology, 2023. https://urn.nsk.hr/urn:nbn:hr:289:070880

Pandžić, Ivan. "Implementacija dockeriziranog REST API servisa za preporuke Wiki stranica korištenjem Minikubea." Undergraduate thesis, University of Applied Sciences in Information Technology, 2023. https://urn.nsk.hr/urn:nbn:hr:289:070880

Pandžić, I. (2023). 'Implementacija dockeriziranog REST API servisa za preporuke Wiki stranica korištenjem Minikubea', Undergraduate thesis, University of Applied Sciences in Information Technology, accessed 13 March 2025, https://urn.nsk.hr/urn:nbn:hr:289:070880

Pandžić I. Implementacija dockeriziranog REST API servisa za preporuke Wiki stranica korištenjem Minikubea [Undergraduate thesis]. Zagreb: University of Applied Sciences in Information Technology; 2023 [cited 2025 March 13] Available at: https://urn.nsk.hr/urn:nbn:hr:289:070880

I. Pandžić, "Implementacija dockeriziranog REST API servisa za preporuke Wiki stranica korištenjem Minikubea", Undergraduate thesis, University of Applied Sciences in Information Technology, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:289:070880

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Metadata
TitleImplementacija dockeriziranog REST API servisa za preporuke Wiki stranica korištenjem Minikubea
Title (english)Implementation of a Dockerized REST API Service for Recommending Wiki Pages Using Minikube
AuthorIvan Pandžić
MentorTomislav Soldo (mentor)
Committee memberDragana Čulina (predsjednik povjerenstva)
Committee memberDomagoj Tuličić (član povjerenstva)
GranterUniversity of Applied Sciences in Information Technology
Zagreb
Defense date and country2023-11-30, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Predmet ovog rada jest razvoj REST API servisa za preporuke članaka na Wikipediji korištenjem programskog jezika Python, okvira Django, i Minikubea za dockerizaciju i postavljanje na Kubernetes grozdu. Zbog sve veće potrebe za personaliziranim i relevantnim preporukama u suvremenom životu, ovaj servis nudi rješenje za preporuke članaka na Wikipediji na temelju korisnikovih prethodno pročitanih stranica i učestalosti relevantnih pojavnica. Rad sadrži detaljan pregled korištenih tehnologija, uključujući Python kao odabrani programski jezik zbog njegove fleksibilnosti i okvir Django zbog brzine razvoja koje omogućava. Također, biblioteka Beautiful Soup korištena je za struganje web stranica, dok je Minikube odabran za lokalno pokretanje virtualnog Kubernetes grozda. U praktičnom dijelu rada opisan je proces razvoja servisa, njegove ključne funkcije, te implementacijski detalji. Cilj je omogućiti brz i jednostavan pristup preporučenim člancima na Wikipediji koristeći REST API servis.
Abstract (english)
The subject of this thesis is the development of a REST API service for recommending Wiki pages, utilizing the Python programming language, the Django framework, and Minikube for Dockerization and deployment on a Kubernetes cluster. Due to the growing need for personalized and relevant recommendations in modern life, this service offers a solution for recommending Wiki pages based on a user's previously read pages. The work includes a detailed review of the technologies used, including Python as the selected programming language for its flexibility, and Django for web development due to the rapid development it enables. Additionally, the Beautiful Soup library is used for web scraping, while Minikube is chosen for locally creating a virtual Kubernetes cluster. In the practical part of the thesis, the process of developing the service, its key functions, and implementation details are described. The goal is to provide quick and easy access to recommended Wiki pages through the REST API service.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:289:070880
Study programmeTitle: INFORMATION TECHNOLOGY
Study programme type: professional
Study level: undergraduate
Academic / professional title: prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka informacijskih tehnologija (prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka informacijskih tehnologija)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2025-03-12 07:57:55