prikaz prve stranice dokumenta Predviđanje cijena najma nekretnina na Airbnb platformi pomoću strojnog učenja
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master's thesis
Predviđanje cijena najma nekretnina na Airbnb platformi pomoću strojnog učenja
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:272842
Munjiza, Jakov Viktor
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Munjiza, J. V. (2022). Predviđanje cijena najma nekretnina na Airbnb platformi pomoću strojnog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:272842

Munjiza, Jakov Viktor. "Predviđanje cijena najma nekretnina na Airbnb platformi pomoću strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:272842

Munjiza, Jakov Viktor. "Predviđanje cijena najma nekretnina na Airbnb platformi pomoću strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:272842

Munjiza, J. V. (2022). 'Predviđanje cijena najma nekretnina na Airbnb platformi pomoću strojnog učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 21 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:272842

Munjiza JV. Predviđanje cijena najma nekretnina na Airbnb platformi pomoću strojnog učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 June 21] Available at: https://urn.nsk.hr/urn:nbn:hr:168:272842

J. V. Munjiza, "Predviđanje cijena najma nekretnina na Airbnb platformi pomoću strojnog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:272842

Metadata
TitlePredviđanje cijena najma nekretnina na Airbnb platformi pomoću strojnog učenja
Title (english)Predicting Real Estate Rental on the Airbnb Platform Using Machine Learning
AuthorJakov Viktor Munjiza
MentorMarin Šilić (mentor)
Committee memberMarin Šilić (predsjednik povjerenstva)
Committee memberGoran Delač (član povjerenstva)
Committee memberKlemo Vladimir (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Airbnb je općepoznata platforma za iznajmljivanje smještaja koja omogućava lakše posredovanje između pružatelja usluge i korisnika. Glavna premisa ovog diplomskog rada zasniva se na analizi skupa podatka i razvijanju modela za predikciju cijena u svrhu indikacije novim korisnicima platforme radi poboljšanja profita. Iako Airbnb te druge slične stranice svojim pružateljima usluga omogućavaju približnu procjenu cijene opisanog objekta, i dalje ne postoji besplatna i prvenstveno točna internetska usluga koja bi pomogla iznajmljivačima u maksimizaciji svoje dobiti. Kako je osnovna procjena uzimala u obzir specifikacije unesenog objekta te je djelomično uvažavala trendove lokalnog tržišta, osmišljen je web sustav koji se pokazao uspješnim za korisnike i pružatelje usluga.
Abstract (english)
Airbnb is a well-known accommodation rental platform that enables intermediation between service providers and users. The main premise of this work is based on the analysis of datasets and the development of a price forecasting model to provide guidance to new users of the platform to improve profits and revenues. Although Airbnb and other similar websites allow their service providers to estimate the price of the described facility. The basic valuation considers the specifications of the entered property and, to some extent local market trends, but there is still no free and, above all, accurate Internet service that helps landlords maximize their profits. The web service was realized as an application of the developed model with the intention to allow service providers to maximize their profits in a simple and intuitive way.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:272842
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
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Created on2023-01-13 15:41:20