Web-aplikacija za preporuku društvenih događaja

master's thesis

• Title (english): Web application for recommendation of social events
• Author: Janko Šalković
• Mentor: Ivica Botički (mentor)
• Committee member: Ivica Botički (predsjednik povjerenstva)
• Committee member: Mirjana Domazet-Lošo (član povjerenstva)
• Committee member: Marina Bagić Babac (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2019-07-11, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Web-aplikacija omogućava preporučivanje društvenih događaja na lokacijama. Korisnik može kreirati svoj profil, pretraživati postojeće lokacije i stvarati svoje vlastite lokacije. Korisnik izgrađuje svoj profil na način da odabere vlastite afinitete u kategorijama dobi, spola, glazbe, kodeksa oblačenja, doba dana i gradova. Profil lokacije se gradi na temelju profila svih korisnika kojih se ta lokacija dojmila. Profili korisnika i lokacija ulaze u algoritam preporučivanja u cilju da se korisniku svaka lokacija prikaže koeficijentom podudarnosti - mjerom sličnosti profila klijenta i profila lokacija s njihovim događajima.

Abstract (english)

This web application recommends social events at locations to its users. A user can create his or her own profile, search existing locations, and create his or her own locations and events. The user builds his profile by choosing his or her own preferences in categories of age, gender, music, dress code, time of day and cities. The location profile is built based on the profile of all the users that were impressed by this location. User and location profiles are included in the recommendation algorithm in order to show a coefficient of match for each of the locations. Coefficient of match represents the similarity of client profile and location profile.

• Keywords: web-aplikacija; algoritam preporučivanja; događaji; lokacije; afiniteti
• Keywords (english): web application; recommendation algorithm; events; locations; preferences
• Language: croatian
• URN:NBN: urn:nbn:hr:168:772473
• Study programme: Title: Computing; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2020-01-07 22:15:51