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Title:Razvoj priporočilnega sistema za ciljano oglaševanje na TV : diplomsko delo
Authors:ID Abraham, Leon (Author)
ID Bošković, Borko (Mentor) More about this mentor... New window
Files:.pdf VS_Abraham_Leon_2020.pdf (1,24 MB)
MD5: 9C4D029198FE6112DC9C5E5D1345B883
PID: 20.500.12556/dkum/e282e77e-339b-443f-8a7b-34d8e087acdb
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
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 vmesnik, oglasi
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[L. Abraham]
Year of publishing:2020
Number of pages:XI, 44 f.
PID:20.500.12556/DKUM-77311 New window
UDC:004.775(043.2)
COBISS.SI-ID:35504643 New window
NUK URN:URN:SI:UM:DK:RCHKC8XU
Publication date in DKUM:03.11.2020
Views:8811
Downloads:94
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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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:26.08.2020

Secondary language

Language:English
Title:Development of recommendation system for targeted TV advertising
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.
Keywords:recommendation system, measure F, user interface, advertisements


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