Razvoj priporočilnega sistema za ciljano oglaševanje na TV

diplomsko delo

Leon Abraham (Author), Borko Bošković (Mentor)

Abstract

Diplomsko delo opisuje celoten postopek izdelave namenskega priporočilnega sistema. Vsebuje predstavitev postopka vzpostavitve platforme PredictionIO, predprocesiranja podatkov iz dnevniških zapisov, vzpostavitve aplikacije ter testiranja uspešnosti sistema. Aplikacija deluje na podlagi analize ključnih besed, ki so bile pridobljene iz dnevniških zapisov gledanosti TV-vsebin za posameznega uporabnika, na podlagi česar sistem priporoči, kateri oglas je za posameznega uporabnika najprimernejši.

Keywords

priporočilni sistem;mera F;uporabniški vmesniki;oglasi;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2020
Typology:	2.11 - Undergraduate Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[L. Abraham]
UDC:	004.775(043.2)
COBISS:	35504643
Views:	1159
Downloads:	33
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	Development of recommendation system for targeted TV advertising
Secondary abstract:	This thesis describes the entire process of making a domain-specific recommendation system. It includes the presentation of the PredictionIO platform, preprocessing log data, setting up an application, and testing the system’s performance. The application works based on keyword analysis. These keywords were obtained from the log records of TV content ratings for an individual user. Based on this, the system recommends which advertisement is the best for each user.
Secondary keywords:	recommendation system;measure F;user interface;advertisements;
Type (COBISS):	Bachelor thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Računalništvo in informacijske tehnologije
Pages:	XI, 44 f.
ID:	11977665