Spletna aplikacija za spoznavanje na podlagi podobnosti okusa za glasbo

KONEČNIK, ŽAN (author), Žabkar, Jure (mentor)

Diplomska naloga zajema opis in razvoj spletne aplikacije, ki omogoča spoznavanje ljudi na podlagi podobnosti okusa za glasbo. Namen aplikacije je omogočiti uporabnikom spoznavanje in komuniciranje z uporabniki, ki poslušajo enak stil glasbe kot drugi uporabniki, na čim bolj enostaven način. Glavne funkcionalnosti aplikacije so enostavna prijava in odjava uporabnikov z enim samim klikom, enostaven uporabniški vmesnik, priporočila uporabnikov, ki imajo podoben okus glasbe, prikaz lastnosti posameznih uporabnikov (najljubše skladbe, žanri, izvajalci), ogled profilov vseh vrst uporabnikov, poslušanje njihovih najljubših skladb ter realnočasovno pošiljanje sporočil in prejemanje obvestil. Aplikacija je zasnovana na ogrodju Laravel in Vue.js, SQL-u za podatkovno bazo, Pythonu za priporočilni sistem ujemanja ter Spotify API-ju za pridobivanje podatkov uporabnikov in njihovih okusov glasbe.

• Language: Slovenian
• Keywords: spletna aplikacija, spoznavanje na podlagi podobnosti okusa za glasbo, algoritem za spoznavanje preko okusa glasbe
• Work type: Bachelor thesis/paper
• Typology: 2.11 - Undergraduate Thesis
• Organization: FRI - Faculty of Computer and Information Science
• Year: 2021
• PID: 20.500.12556/RUL-124751
• COBISS.SI-ID: 51545603
• Publication date in RUL: 15.02.2021

Secondary language

• Language: English
• Title: Online meeting app based on the similarity of music taste

Abstract

The diploma thesis covers the description and development of a web application that allows people to get to know each other based on the similarity of taste for music. The purpose of the application is to enable users to meet and communicate with other users who listen to the same style of music as other users in the simplest possible way. The main functionalities of the application are easy login and logout of users with a single click, simple user interface, user recommendations that have a similar taste of music, displaying the profiles of individual users (favorite songs, genres, artists), viewing profiles of all users, listening to their favorite songs, real-time messaging and notifications. The application is based on the Laravel and Vue.js framework, SQL for the database, Python for the recommender matching system, and the Spotify API for retrieving user data and their music tastes.

• Keywords: web application, meeting based on the similarity of taste for music, algorithm for meeting people based on music taste