Recommender system for nuitrition additives

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

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Abstract

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:

Language of Content:

Slovenian

Mentor / Comentors:

Name and Surname	ID	Function
prof. dr. Igor Kononenko	237	Mentor

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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