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Recommender system for nuitrition additives

Simon Koštrun (2016) Recommender system for nuitrition additives. EngD thesis.

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    Food supplements are becoming more and more common every day. The question arises, how to help the user in the selection of them. The goal is to create a web application, which returns to user the most appropriate food supplements, how he or she should take them, what to avoid, where to buy, etc. For implementation, we used validated and extended web technologies. For users and system administrators we use HTML5, CSS and JavaScript, while PHP and MySQL perform the background work. For each user, the application stores data and increases the database. We then use that database and user input to calculate probability of a certain medical condition using the formula of conditional probability.

    Item Type: Thesis (EngD thesis)
    Keywords: dietary supplements, recommendation system, nutritional supplements, conditional probability
    Number of Pages: 22
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    prof. dr. Igor Kononenko237Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537315011)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 3433
    Date Deposited: 18 Aug 2016 15:22
    Last Modified: 21 Dec 2016 08:19
    URI: http://eprints.fri.uni-lj.si/id/eprint/3433

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