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Title:
Oglaševanje z analizo mrežnega prometa na oglaševalnem panelu
Authors:
ID
Hafner, Andrej
(
Author
)
ID
Kljajić Borštnar, Mirjana
(
Mentor
)
More about this mentor...
Files:
MAG_Hafner_Andrej_2017.pdf
(3,36 MB)
MD5: 9784F00A915143AB869EC032C6C42855
PID:
20.500.12556/dkum/c552725b-11a8-4b02-89c0-200d6e2973b2
Language:
Slovenian
Work type:
Master's thesis/paper
Organization:
FOV - Faculty of Organizational Sciences in Kranj
Abstract:
V magistrski nalogi obravnavamo problematiko statično postavljenih reklamnih panojev. Panoji vsebujejo papirnate oglase, ki jih delavci ročno menjajo na določen čas. Alternativa statičnim panojem so elektronski panoji, ki so ponekod že razširjeni. Na elektronskih panojih se oglasi menjajo iz centralnega središča in so upravljani preko 3G omrežja. Problem statičnih panojev je prikaz različnih oglasov ob različnih urah. Zato bomo vse nadgradili v povezavi z rešitvijo pametnega mesta, v smislu uporabe brezžičnega omrežja in analize prometa širokopasovnih podatkov. Elektronski panoji bodo postavljeni na območju pokritem z brezžičnim omrežjem. V tem omrežju bomo z analizo mrežnega prometa dobili informacije kakšen oglas bi bil primeren za trenutni prikaz na panoju. S tem bomo na reklamnih panojih ob vsakem času in na pravem mestu prikazali pravi oglas. Za konec bomo pregledali celoten projekt in predlagali še morebitne izboljšave oziroma priporočila za še bolj kakovostno oglaševanje.
Keywords:
— WI-FI — Pametno mesto — Oglaševanje — Mrežni promet
Place of publishing:
Maribor
Year of publishing:
2017
PID:
20.500.12556/DKUM-69093
COBISS.SI-ID:
7984403
NUK URN:
URN:SI:UM:DK:56JHNCIM
Publication date in DKUM:
20.12.2017
Views:
1594
Downloads:
95
Metadata:
Categories:
FOV
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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:
29.11.2017
Secondary language
Language:
English
Title:
Advertising with network traffic analysis on an advertising panel
Abstract:
In this master thesis we are going to address an issue of classic advertising billboards. Classic billboards are basically large pieces of printed paper ads, which are still manually replaced by billboard companies. There's a more and more accepted alternative to paper billboards - digital billboards, where changing images are managed from central head office via 3G network. The problem of classic billboards is the placement and timing of certain ads, thus we are going to combine our idea to the idea of smart cities, in terms of using wi-fi and network data analysis. Digital billboards are going to be placed in the area with wi-fi access, where, by applying network data analysis, we'll be able to determine what ads to display at a certain time slot and at a certain place during the day. In the conclusion, we will review the entire project and suggest possible improvements to maximize the impact of high-quality advertising.
Keywords:
— WI-FI — Smart city — Advertisement — Network traffic
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