User profile for provisioning information and communication services based on user influence

Smailović, Vanja

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doctoral thesis

User profile for provisioning information and communication services based on user influence

Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. urn:nbn:hr:168:595948

Smailović, Vanja

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Telecommunications

Cite this document

APA 6th Edition

Smailović, V. (2016). User profile for provisioning information and communication services based on user influence (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:595948

MLA 8th Edition

Smailović, Vanja. "User profile for provisioning information and communication services based on user influence." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:595948

Chicago 17th Edition

Harvard

Smailović, V. (2016). 'User profile for provisioning information and communication services based on user influence', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 04 October 2023, https://urn.nsk.hr/urn:nbn:hr:168:595948

Vancouver

Smailović V. User profile for provisioning information and communication services based on user influence [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2023 October 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:595948

IEEE

V. Smailović, "User profile for provisioning information and communication services based on user influence", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:595948

Cite this item: https://urn.nsk.hr/urn:nbn:hr:168:595948

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Metadata

Title	User profile for provisioning information and communication services based on user influence
Title (croatian)	Korisnički profič za pružanje informacijskih i komunikacijskih usluga zasnovanih na utjecajnosti korisnika
Author	Vanja Smailović
Mentor	Vedran Podobnik (mentor)
Committee member	Vedran Podobnik (član povjerenstva)
Granter	University of Zagreb Faculty of Electrical Engineering and Computing (Department of Telecommunications) Zagreb
Defense date and country	2016, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering Telecommunications and Informatics
Universal decimal classification (UDC)	621.3 - Electrical engineering
Abstract	User profile enables collection, storage and interpretation of user data, which in turn enables analysis and reasoning upon such data. It is an ongoing research challenge to utilize vast amounts of available multi-source, heterogeneous user data with the goal of identifying key, socially influential actors for provisioning information and communication services. Novel approach to solving this challenge includes several steps, as proposed in this thesis. First, a novel user profiling method is proposed in order to efficiently acquire, aggregate and consolidate user data from two data-sources – the telecom-operator's network and Interned-based social networks. Second, a novel user profile model is developed for inference upon such user data. Third, improved algorithms for reasoning upon profile data are proposed, resulting in new knowledge about each user – their social influence. The proposed algorithm improvements in calculating social influence are statistically validated and evaluated through a real-world experiment. Substantial difference in results between the two data-sources is statistically proven, explaining their synergy once utilized together. Finally, out of several algorithm proposals stemming from the Limited Recursive Algorithm (LRA), the variant with Sample-Literature-Optimal Posting Frequency factor (SLOF) demonstrates significant improvement. For example, churn-prevention, prioritizing customer care, digital advertising and disease-tracking algorithms could all benefit from the SLOF algorithm as exemplified in the thesis.
Abstract (croatian)	Korisnički profil omogućava prikupljanje, pohranu i interpretaciju korisničkih podataka, što zauzvrat omogućava analizu i zaključivanje iz tih podataka. Iskoristiti veliku količinu heterogenih podataka iz više izvora, s ciljem određivanja ključnih, društveno utjecajnih pojedinaca u informacijskim i komunikacijskim uslugama, aktualan je istraživački izazov. Nov pristup rješavanju ovog izazova, predložen u disertaciji, sastoji se od nekoliko koraka. Prvo, predložena metoda za profiliranje korisnika omogućuje učinkovito dohvaćanje, agregaciju i konsolidaciju korisničkih podataka iz dva izvora – telekom-operatorske mreže i usluga za društveno umrežavanje. Drugo, razvijen je model korisničkog profila za automatsko zaključivanje iz tih korisničkih podataka. Treće, predložen je nadograđeni algoritam za zaključivanje iz korisničkih podataka koji rezultira novim znanjem o svakom korisniku – društvenom utjecajnošću tog korisnika. Predložene algoritamske nadogradnje u izračunu društvene utjecajnosti statistički su validirane i ocjenjene kroz eksperiment sa stvarnim korisničkim podacima. Značajna razlika u rezultatima iz dva izvora podataka statistički je dokazana te objašnjena njihovom sinergijom kada se koriste istovremeno. Među predloženim algoritamskim nadogradnjama zasnovanim na "Limited Recursive Algorithm" (LRA), algoritam "Sample-Literature-Optimal Posting Frequency factor" (SLOF) pokazuje značajno poboljšanje. Primjerice, SLOF ima primjenu u poboljšanom sprječavanju odljeva pretplatnika, prioretizaciji usluge, digitalnom oglašavanju i algoritamskom praćenju zaraza.
Keywords
Keywords (croatian)
Language	english
URN:NBN	urn:nbn:hr:168:595948
Study programme	Title: Electrical Engineering and Computing Study programme type: university Study level: postgraduate Academic / professional title: Doktor znanosti elektrotehnike i računarstva (Doktor znanosti elektrotehnike i računarstva)
Type of resource	Text
Extent	153 str. ; 30 cm.
File origin	Born digital
Access conditions	Closed access
Terms of use
Repository	FER Repository
Created on	2019-04-11 15:49:02