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undergraduate thesis
Usporedba raspodijeljenih preporučitelja
2017. urn:nbn:hr:168:500910
Mihaljević, Patrik
University of Zagreb
Faculty of Electrical Engineering and Computing

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Mihaljević, P. (2017). Usporedba raspodijeljenih preporučitelja (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:500910

Mihaljević, Patrik. "Usporedba raspodijeljenih preporučitelja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:500910

Mihaljević, Patrik. "Usporedba raspodijeljenih preporučitelja." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. https://urn.nsk.hr/urn:nbn:hr:168:500910

Mihaljević, P. (2017). 'Usporedba raspodijeljenih preporučitelja', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:500910

Mihaljević P. Usporedba raspodijeljenih preporučitelja [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2017 [cited 2024 April 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:500910

P. Mihaljević, "Usporedba raspodijeljenih preporučitelja", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:168:500910

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Metadata
TitleUsporedba raspodijeljenih preporučitelja
Title (english)A Comparison of Distributed Recommenders
AuthorPatrik Mihaljević
MentorKrešimir Pripužić (mentor)
Committee memberKrešimir Pripužić (predsjednik povjerenstva)
Committee memberAleksandar Antonić (član povjerenstva)
Committee memberMartina Marjanović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2017-07-10, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Raspodijeljeni preporučitelj je model sustava kojem se komponente nalaze unutar računalnog grozda s osnovnom zadaćom da napravi relevantnu preporuku baziranu na informacijama koje je prikupio. Da bi sustav bio uspješno točan, promatrani zapisi se ne smiju koristi za trening i validaciju sustava. Evaluacijom preporučitelja dolazi se do zaključka da je Apache Spark najbolji i najlakši za implementirati.
Abstract (english)
A distributed recommender is a cluster-computing model with one main goal, to make a relevant recommendation based on information it has collected. In order for the system to be accurate, all the observed entries of a ratings matrix cannot be user both for training the model and for accuracy evaluation. By evaluating recommender systems, we can make a conclusion that Apache Spark is the best of them and the easiest to implement.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:500910
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 on2019-03-13 23:01:49