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master's thesis
Procjena hranjive vrijednosti jela na temelju opisa sastojaka
2018. urn:nbn:hr:168:444336
Generalić, Boris
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Generalić, B. (2018). Procjena hranjive vrijednosti jela na temelju opisa sastojaka (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:444336

Generalić, Boris. "Procjena hranjive vrijednosti jela na temelju opisa sastojaka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:444336

Generalić, Boris. "Procjena hranjive vrijednosti jela na temelju opisa sastojaka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:444336

Generalić, B. (2018). 'Procjena hranjive vrijednosti jela na temelju opisa sastojaka', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 01 April 2025, https://urn.nsk.hr/urn:nbn:hr:168:444336

Generalić B. Procjena hranjive vrijednosti jela na temelju opisa sastojaka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2025 April 01] Available at: https://urn.nsk.hr/urn:nbn:hr:168:444336

B. Generalić, "Procjena hranjive vrijednosti jela na temelju opisa sastojaka", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:444336

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Metadata
TitleProcjena hranjive vrijednosti jela na temelju opisa sastojaka
Title (english)Nutritional Value Estimation Based on Recipe Ingredients Description
AuthorBoris Generalić
MentorKlemo Vladimir (mentor)
Committee memberKlemo Vladimir (predsjednik povjerenstva)
Committee memberDejan Škvorc (član povjerenstva)
Committee memberGoran Delač (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-09-03, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu opisani su postupci za označavanje i predviđanje struktura unutar fraza sastojaka recepta jela. Konkretno ovdje je korišten model linearno ulančanih uvjetnih slučajnih polja za pronalaženje redoslijeda oznaka riječi unutar fraze sastojka. Na temelju označenih fraza sastojaka, odnosno na temelju imena, mjerne jedinice i količine sastojka radi se upit prema bazi podataka s nutritivnim informacijama kako bi se izračunale hranjive vrijednosti recepta jela.
Abstract (english)
This master thesis describes the task of predicting ingredient components from the ingredient phrases of the recipe. A discriminative structured prediction model called a linear-chain conditional random field (CRF) is used for predicting the tag sequence in recipe ingredient phrases. Based on the predicted ingredient components, name, unit and quantity the nutrient database is queried in order to calculate the nutritional value of the recipe.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:444336
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 on2019-03-13 20:26:34
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