diplomsko delo
Florijan Klezin (Author), Vili Podgorelec (Mentor)

Abstract

Veliki spletni trgovci ponujajo na milijone izdelkov. Pregledno iskanje po njih strankam predstavlja velik izziv. Priporočilni sistemi so postali ena izmed rešitev tega problema, saj tak sistem strankam predlaga izdelke, za katere obstaja večja verjetnost, da jih bodo zanimali. V tej diplomski nalogi smo opisali in predstavili priporočilne sisteme, opisali najbolj uporabljane algoritmične pristope k priporočanju izdelkov, vzorce razvoja kompleksnejših priporočilnih sistemov in načine, kako ovrednotimo priporočilni sistem. Najbolj smo se osredotočili na gradnjo priporočilnega sistema s platformo za strojno učenje Turi.

Keywords

priporočilni sistemi;Turi;Graphlab;strojno učenje;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: F. Klezin
UDC: 004.832(043.2)
COBISS: 20900630 Link will open in a new window
Views: 1709
Downloads: 99
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Other data

Secondary language: English
Secondary title: The development of a recommendation system on Turi platform
Secondary abstract: Large online merchants offer millions of products. A transparent search products is becoming a great challenge for customers. Recommendation systems have become one of the solutions to this problem, since such a system offers products that are more likely to be interesting for the user. In this Thesis we have described and presented recommendation systems, described the most used algorithmic approaches to product recommendations, patterns of development of more complex recommendation systems, and evaluation of the recommendation systems. Most of all, we have focused on building a recommendation system with the Turi machine learning platform.
Secondary keywords: recommendation systems;machine learning;
URN: URN:SI:UM:
Type (COBISS): Bachelor thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Informatika in tehnologije komuniciranja
Pages: X, 37 str.
ID: 10858951