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undergraduate thesis
Sustav preporučivanja restorana zasnovan na suradničkom filtriranju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:467136
Oroz, Tin
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Oroz, T. (2021). Sustav preporučivanja restorana zasnovan na suradničkom filtriranju (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:467136

Oroz, Tin. "Sustav preporučivanja restorana zasnovan na suradničkom filtriranju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:467136

Oroz, Tin. "Sustav preporučivanja restorana zasnovan na suradničkom filtriranju." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:467136

Oroz, T. (2021). 'Sustav preporučivanja restorana zasnovan na suradničkom filtriranju', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 June 2024, https://urn.nsk.hr/urn:nbn:hr:168:467136

Oroz T. Sustav preporučivanja restorana zasnovan na suradničkom filtriranju [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 June 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:467136

T. Oroz, "Sustav preporučivanja restorana zasnovan na suradničkom filtriranju", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:467136

Metadata
TitleSustav preporučivanja restorana zasnovan na suradničkom filtriranju
Title (english)Restaurant Recommender System Based on Collaborative Filtering
AuthorTin Oroz
MentorKlemo Vladimir (mentor)
Committee memberKlemo Vladimir (predsjednik povjerenstva)
Committee memberLucija Šikić (član povjerenstva)
Committee memberPetar Afrić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-06-16, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Sustav preporučivanja je pod klasa sustava za filtriranje informacija, koji teži predvidjeti „ocjenu“ nekog predmeta od strane određenog korisnika na temelju informacija koje je prikupio o tom korisniku. Suradničko filtriranje je algoritam za preporučivanje koji se temelji na informacijama o ocjenama korisnika prema određenim proizvodima. Matrica korisnosti je skup podataka koji se sastoji od korisnik, predmeta, te ocjena korisnika nad određenim predmetima. Pomoću matrice korisnosti računamo međusobne sličnosti predmeta ili korisnika, te na temelju toga radimo preporuke. Uspješnost sustava mjeri se pomoću drugog korijena prosječne vrijednosti kvadratne pogreške, koji prikazuje razliku između pravih i predviđenih ocjena. Primjena ovakvih sustava je široka, od reklamiranja proizvoda, preporučivanja muzike, restorana i filmova, spajanja ljudi i sadržaja na društvenim mrežama i mnoge druge.
Abstract (english)
Recommendation system is a subclass of an information filtering system, which seeks to predict the “assessment” of an item by a user based on the information the system has collected about the user. Collaborative filtering is a recommendation algorithm based on information about user ratings for specific products. A utility matrix is a set of data consisting of user ratings over specific items. Using the utility matrix, we can calculate the similarities between items or users and based on that we can make recommendations. The accuracy of the system is measured using Root-Mean-Square error, which represents the difference between the real and predicted values in the utility matrix. The application of such systems is wide, from advertising products, recommending music, restaurants and movies, connecting people and content on social networks and many other.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:467136
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-14 09:37:09