Stroškovni vidik optimizacije mobilne uporabniške izkušnje : magistrsko delo

Oberstar, Klavdij (author), Lavbič, Dejan (mentor)

Mesečni strošek uporabe mobilnih storitev lahko hitro preseže začrtano mejo. Zato smo si zastavili cilj, izdelati pametnega mobilnega pomočnika. Pametni mobilni pomočnik bi uporabniku svetoval, kako in na kakšen način naj uporablja mobilne storitve, da bo mesečni strošek uporabe najnižji. Implementirali smo prototip, ki s pomočjo metod podatkovnega rudarjenja in izdelave uporabniškega profila, uporabniku prikazuje porabo in statistiko ter svetuje o boljši izrabi mobilnih storitev glede na njegov način porabe mobilnih enot. Pametni mobilni pomočnik ponuja nasvete o cenejši izrabi enot v tujini, najprimernejši storitvi, najboljšemu obračunskemu intervalu itd. Uporabnik lahko s pomočjo pametnega mobilnega pomočnika optimalno izkoristi ponujene mobilne storitve in s tem zniža mesečni strošek. Konkurenčnost pametnega mobilnega pomočnika smo preverili s pomočjo analize SWOT. Ugotovili smo, da ima prednost pred ostalimi rešitvami v naprednih funkcionalnostih za boljšo izrabo zakupljenih enot.

• Language: Slovenian
• Keywords: pametni mobilni pomočnik, mobilne storitve, optimizacija cene, pametno svetovanje, podatkovno rudarjenje, uporabniški profili, računalništvo, računalništvo in informatika, magisteriji
• Work type: Master's thesis/paper
• Typology: 2.09 - Master's Thesis
• Organization: FRI - Faculty of Computer and Information Science
• Publisher: [K. Oberstar]
• Year: 2014
• Number of pages: 75 str.
• PID: 20.500.12556/RUL-68665
• UDC: 004.9:621.39(043.2)
• COBISS.SI-ID: 10685012
• Publication date in RUL: 10.07.2015

Secondary language

• Language: English
• Title: Cost based optimization of mobile user experience

Abstract

The monthly cost of mobile services can easily exceed the designated limit. Therefore, we set a goal to create smart mobile assistant. Smart mobile assistant would advise user how and in what manner he should use mobile services, so he will get the lowest monthly cost. We have implemented a prototype, which use methods of data mining and user profiling so that can show user consumption, statistics and advises on making better use of mobile services, according to his way of consumption of mobile units. Smart mobile assistant offers advice on the use of cheaper abroad consumption of mobile units, the most appropriate mobile service, best accounting interval, etc. User can, with use of smart mobile assistant, optimally use mobile services and thus reduce the monthly cost. Competitiveness of smart mobile assistant was tested using SWOT analysis. We have found that it has an advantage over other solutions in the advanced functionalities for a better use of leased units.

• Keywords: smart mobile assistant, mobile services, price optimization, smart consulting, data mining, user profiles, computer science, computer and information science, master's degree