Treffer: Web aplikacija za internetski forum uz pametnu pretragu i preporuku interesnog sadržaja ; Web application for internet forum with a smart search and recommendation of interesting content

Title:
Web aplikacija za internetski forum uz pametnu pretragu i preporuku interesnog sadržaja ; Web application for internet forum with a smart search and recommendation of interesting content
Authors:
Contributors:
Gulić, Marko
Publisher Information:
Sveučilište u Rijeci. Tehnički fakultet. Zavod za računarstvo. Katedra za programsku podršku.
University of Rijeka. Faculty of Engineering. Department of Computer Engineering. Section of Software Engineering.
Publication Year:
2021
Collection:
Repository of the University of Rijeka
Document Type:
Dissertation bachelor thesis
File Description:
application/pdf
Language:
Croatian
Rights:
http://rightsstatements.org/vocab/InC/1.0/ ; info:eu-repo/semantics/restrictedAccess
Accession Number:
edsbas.5885F59B
Database:
BASE

Weitere Informationen

U ovom završnom radu razvijena je web aplikacija za internetski forum uz pametnu pretragu i preporuku interesnog sadržaja s obzirom na korisnikove osobne preferencije, uz podršku Django radnog okvira. Rad opisuje funkcionalnosti tehnologija Django, Bootstrap CSS radnog okvira i SQLite baze podataka. Također, opisuje se korištenje metoda za izvlačenje ključnih riječi iz teksta TF-IDF i Textrank te njihova implementacija unutar aplikacije. Detaljno je opisan postupak korištenja Django kanala (eng. channels) radi implementiranja funkcionalnosti dretve u stvarnom vremenu. Također, u radu je opisana aplikacija i sve njene funkcionalnosti koje su dostupne korisniku te prikazi implementacije tehnologija i popratni primjeri. ; In this final work a web application for an internet forum was developed. It includes smart search and recommendations of interesting content in regards to users personal preferences, with the support of the Django framework. The paper describes the functionalities of Django technology, Bootstrap CSS framework and SQLite database. It also describes the usage of keyword extraction methods, TF-IDF and Textrank, in order to extract tags from text, as well as their implementation within the application. The procedure of using the Django Channel to implement the functionality of a real time thread is described in detail. Also, the paper describes the application and all its functionalities that are available to the user, as well as demonstrations of technology implementation and accompanying examples.