Preporučiteljski sustav za aplikacije na pokretnim uređajima

master's thesis

• Title (english): Recommender system for mobile applications
• Author: Vanda Viljanac
• Mentor: Vedran Podobnik (mentor)
• Committee member: Vedran Podobnik (predsjednik povjerenstva)
• Committee member: Ignac Lovrek (član povjerenstva)
• Committee member: Iva Bojić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2014-07-09, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Ovaj rad istražuje kako voditi korisnike kroz proces odabira novih mobilnih aplikacija na način da im se pruže preporuke. U tu svrhu razvijen je mobilni preporučiteljski sustav u obliku Android aplikacije koji korisniku preporučuje druge mobilne aplikacije za preuzimanje na temelju mobilnog konteksta i korisničkih preferencija.

Na početku rada nalazi se uvod u preporučiteljske sustave iza kojeg slijedi uvod u mobilne preporučiteljske sustave. Zatim je predstavljen prijašnji rad koji se bavi tom temom te su dani primjeri već razvijenih preporučiteljskih aplikacija. U slijedećim poglavljima aplikacija razvijena u sklopu ovog rada naziva AppDetecitve je objašnjena na detaljan način. Na kraju, donesen je zaključak te su dani prijedlozi o unaprijeđivanju razvijene aplikacije.

Abstract (english)

This work investigates how to guide users through the process of deciding which application to choose by providing them with recommendations. For that reason a recommender system for mobile applications was developed as a proof-of-concept. This recommender system is an Android application that recommends other mobile applications for download based on mobile context and user's preferences.

At the beginning the introduction into recommender systems is written which is followed with the introduction into mobile recommender systems. Then, related work is presented with examples of already developed app recommending engines. In the following chapter a proof-of-concept application called AppDetective is presented in a detailed way. Next, the results of AppDetective are commented and discussed. This work ends with a conclusion and suggestions for possible improvements and future work.

• Keywords: Ključne riječi: preporučiteljski sustav; mobilnost; kontekst; preferencije; aplikacija; odlučivanje; sugestije; preuzimanje
• Keywords (english): recommender system; mobility; context; preferences; application; deciding; suggestions; download
• Language: english
• URN:NBN: urn:nbn:hr:168:506891
• Study programme: Title: Information and Communication Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2018-02-06 14:19:27