| Title: | Predefined domain specific embeddings of food concepts and recipes : a case study on heterogeneous recipe datasets |
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| Authors: | ID Ispirova, Gordana, Institut Jožef Stefan (Author)
ID Eftimov, Tome, Institut Jožef Stefan (Author)
ID Koroušić-Seljak, Barbara, Institut Jožef Stefan (Author) |
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| Files: |  URL - Source URL, visit https://ieeexplore.ieee.org/abstract/document/10020698
Description: Dostopno z geslom
 PDF - Presentation file, download (167,58 KB)
MD5: 9FA55E048035178E37B41B53042654D8
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| Language: | English |
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| Typology: | 1.08 - Published Scientific Conference Contribution |
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| Organization: |  IJS - Jožef Stefan Institute
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| Keywords: | recipe embeddings, ingredient embeddings, predefined corpus, domain knowledge, predictive modelling |
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| Publication status: | Published |
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| Publication version: | Author Accepted Manuscript |
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| Publication date: | 17.12.2022 |
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| Publisher: | IEEE |
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| Year of publishing: | 2022 |
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| Number of pages: | Str. 4074-4083 |
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| Source: | ZDA |
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| PID: | 20.500.12556/DiRROS-16366  |
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| UDC: | 004.8 |
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| DOI: | 10.1109/BigData55660.2022.10020698 |
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| COBISS.SI-ID: | 142464259 |
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| Copyright: | © 2022 IEEE |
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| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 21. 2. 2023;
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| Publication date in DiRROS: | 09.03.2023 |
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| Views: | 903 |
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| Downloads: | 507 |
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| Metadata: |    |
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