| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document Help

Title:Razširitev brskalnika s sistemom priporočanja v Pythonu : diplomsko delo
Authors:ID Herzog, Aljaž (Author)
ID Fister, Iztok (Mentor) More about this mentor... New window
Files:.pdf UN_Herzog_Aljaz_2022.pdf (2,08 MB)
MD5: E5830BD8470A2E3903D62F3109FDBE43
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Namen diplomskega dela je bil razviti razširitev za brskalnik s sistemom priporočanja. Razširitev zbira uporabnikove oglede računalniških komponent in mu s pomočjo strojnega učenja priporoča podobne komponente. Informacije o komponentah smo pridobili s slovenskih spletnih strani in se shranjujejo v bazo podatkov. Uporabnik lahko ureja svoje komponente in išče druge izdelke v bazi z več kot 2.700 vnosi. Primerja lahko cene izdelka iz drugih spletnih trgovin in izbere najcenejšega. Rezultati, ki smo jih dobili pri testiranju kažejo, da so priporočila odvisna od: proizvajalca, števila podatkov o izdelku in števila vnosov posameznih vrst izdelka v bazo podatkov.
Keywords:React, Flask, strojno učenje, priporočilni sistem
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[A. Herzog]
Year of publishing:2022
Number of pages:1 spletni vir (1 datoteka PDF (VIII, 38 f.))
PID:20.500.12556/DKUM-82578 New window
UDC:004.775(043.2)
COBISS.SI-ID:133540867 New window
Publication date in DKUM:21.10.2022
Views:618
Downloads:73
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
:
Copy citation
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:Bookmark and Share



Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:25.08.2022

Secondary language

Language:English
Title:Browser extension with recommender system in Python
Abstract:The aim of the thesis was to develop an extension for a browser with recommender system. The extension collects data about computer components that a user viewed and recommends similar s using machine learning methods. The information about these were obtained from the Slovenian websites and are stored in a database. A user can edit information about the components in search for other ones in a database with more than 2.700 entries. He/she can compare computer component product prices from other online shops and choose the cheapest one. The results of our testing show that the recommendations depend on: a manufacturer, a number of product details, and a number of entries of each type of product in a database.
Keywords:React, Flask, machine learning, recommender system


Comments

Leave comment

You must log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica