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Title:
Profiliranje in sledenje uporabnikom na spletu
Authors:
ID
Vodišek, Denis
(Author)
ID
Hölbl, Marko
(Mentor)
More about this mentor...
Files:
UN_Vodisek_Denis_2017.pdf
(1,45 MB)
MD5: 55479F63DD946586039FBDC8A4BDF38E
PID:
20.500.12556/dkum/83706905-b2ac-4765-bef9-fe06a1502ea2
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
Na današnjem spletu je skorajda težko ostati neviden. Podjetja, mediji in posamezniki se čedalje bolj zavedajo, da lahko s poznavanjem svojih strank oziroma uporabnikov ugotovijo njihove želje, interese in omogočijo odlično uporabniško izkušnjo, saj je ravno to tisto, kar odloča o nadaljnjem ravnanju uporabnika na strani. V diplomskem delu smo vzpostavil storitev za sledenje uporabnikom z brezplačno storitvijo Google Analytics. Pridobljene podatke smo z orodjem za podatkovno rudarjenje R združili v skupine in ustvarili uporabniške profile. Zajeli smo glavne metodologije zbiranja podatkov, piškotke in orodje, ki jih bomo uporabili za spletno analitiko. Prav tako smo obravnavali tudi zasebnost uporabnika na spletu in načine sledenja ter profiliranja uporabnikov. V diplomskem delu smo tudi implementirali storitve na že obstoječo spletno stran in zbirali podatke s po meri ustvarjenimi razsežnosti in meritvami. Podatke smo obdelali v programu R in jih vizualno predstavili. Ugotovili smo, da lahko s spletno analitiko natančno odkrijemo, kaj uporabniki počnejo na strani, kaj jih zanima in na podlagi teh informacij ustvarili uporabniške profile. Tako lahko z ustvarjenimi profili uporabnikom iste skupine priporočamo podobne rezultate.
Keywords:
Spletna analitika
,
sledenje
,
profiliranje
,
Google Analytics
,
splet
,
zbiranje podatkov
,
R
,
podatkovno rudarjenje
Place of publishing:
[Maribor
Publisher:
D. Vodišek
Year of publishing:
2017
PID:
20.500.12556/DKUM-67493
UDC:
004.774.6(043.2)
COBISS.SI-ID:
20958486
NUK URN:
URN:SI:UM:DK:L3OZ37IA
Publication date in DKUM:
09.10.2017
Views:
1543
Downloads:
229
Metadata:
Categories:
KTFMB - FERI
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Vancouver
:
VODIŠEK, Denis, 2017,
Profiliranje in sledenje uporabnikom na spletu
[online]. Bachelor’s thesis. Maribor : D. Vodišek. [Accessed 27 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=67493
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Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
21.08.2017
Secondary language
Language:
English
Title:
Online user tracking and profiling
Abstract:
It is hard to stay invisible on today's web. Companies, the media and individuals are aware that by knowing their clients and users, they can identify their wishes, interests and provide them excellent user experience, because this is exactly what determines the user’s further behavior on the web site. In this diploma work, we set up a user tracking service by using Google Analytics. With the gathered data, we create user profiles using data mining tool R. We describe the main methodologies of collecting data, cookies and the tool, which we will use for web analytics. We also describe the privacy on the web and the ways of tracking and profiling users. In the diploma, we implement the service on the web site and collect the data with custom dimensions and metrics. In the end, we processed data in R tool and even visually present them. We also write down our findings. We find out that with web analytics we can identify users’ behavior on the web site, what are they interested in and then we created user profiles based on the collected data. With the profiles created, we can recommend similar results to users of the same group.
Keywords:
Web analytics
,
profiling
,
tracking
,
Google Analytics
,
web
,
collecting data
,
R
,
data mining
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