prikaz prve stranice dokumenta Domenski ograničen preporučiteljski sustav
No public access
master's thesis
Domenski ograničen preporučiteljski sustav
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. urn:nbn:hr:168:499276
Gračak, Zvonimir
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Gračak, Z. (2018). Domenski ograničen preporučiteljski sustav (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:499276

Gračak, Zvonimir. "Domenski ograničen preporučiteljski sustav." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:499276

Gračak, Zvonimir. "Domenski ograničen preporučiteljski sustav." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:499276

Gračak, Z. (2018). 'Domenski ograničen preporučiteljski sustav', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:499276

Gračak Z. Domenski ograničen preporučiteljski sustav [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 June 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:499276

Z. Gračak, "Domenski ograničen preporučiteljski sustav", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:499276

Metadata
TitleDomenski ograničen preporučiteljski sustav
Title (english)Single-domain Recommender System
AuthorZvonimir Gračak
MentorLjiljana Brkić (mentor)
Committee memberLjiljana Brkić (predsjednik povjerenstva)
Committee memberZdravko Galić (član povjerenstva)
Committee memberIgor Mekterović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-03, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U okviru ovog rada implementirani su collaborative-filtering, content-based i knowledge-based preporučiteljski sustavi na domeni kupnje nekretnina. Implementirani su sustav za prikupljanje dinamičnog skupa podataka o nekretninama s javno dostupnih izvora, preporučiteljski sustavi koji korisnički profil uče na temelju interakcije korisnika sa sustavom te web aplikacija za demonstraciju rada cijelog sustava. Korisniku je kroz korištenje sustava omogućeno ocjenjivanje nekretnina i definiranje vlastitih interesa, na temelju čega preporučiteljski sustavi raspoznaju koji sadržaj bi bio relevantan za korisnika. S obzirom da preporučiteljski sustavi korisnički profil mogu naučiti tek na temelju interakcije korisnika sa sustavom, za savladavanje cold start problema implementirano je stvaranje generičkih preporuka za sve korisnike. Dodatno, za evaluaciju kvalitete preporučiteljskih sustava i poboljšanje budućih preporuka za korisnika, implementiran je i modul za ocjenjivanje preporuka pojedinog preporučiteljskog sustava.
Abstract (english)
This paper describes the development and implementation of collaborative-filtering, content-based and knowledge-based recommender systems on the real estate domain. A dynamic system for gathering data about real estates from publicly available sources is implemented, as well as recommender systems that generate user profiles based on user's interaction with the system. For demonstration purposes, a web application is built. Through using the system, user is presented with the availability to rate real estates and to define own interests. Using that data, recommender systems can determine which content, in this particular case real estates, would be relevant to the user. Based on the fact that in this case recommender systems can learn user profile only after the user interaction with the system, for handling the cold start problem, generating generic recommendations for all users in the system is implemented. Furthermore, for evaluating recommender systems and improving the recommendation quality for users, a module for rating recommendation for each of the recommender system is implemented.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:499276
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
Public note
Created on2019-03-13 20:32:53