Sustav preporučivanja proizvoda utemeljen na bazi grafova

master's thesis

• Title (english): Product Recommendation System Based on Graph Database
• Author: Mislav Larva
• Mentor: Tomislav Hrkać (mentor)
• Committee member: Tomislav Hrkać (predsjednik povjerenstva)
• Committee member: Jan Šnajder (član povjerenstva)
• Committee member: Marin Šilić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2017-07-06, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Internetska trgovina predstvalja kupnju i prodaju dobara i usluga preko elektroničke mreže, primarno interneta. Proizvođači su primorani razviti brojne proizvode koji zadovoljavaju brojne potrebe brojnih kupaca. Kako bi se korisniku olakšala kupnja i poboljšala prodaja trgovcu, razvijaju se sustavi za preporuke. Tehnika korištena u radu naziva se: ,,korisnici su također kupili``. Kako bi se preporuka što prije obradila, koriste se baze utemeljene na grafovima, konkretno Neo4j. Sustav je dodatno potrebno ugraditi u aplikaciju. Korišten je Spree Commerce koji predstavlja rješenje za elektroničku trgovinu baziran nad tehnologijom Ruby on Rails. Proizvodi se nude za svaki proizvod kojeg kupac stavi u košaricu. Takav način preporuke naziva se ponuda dodatnog proizvoda.

Abstract (english)

E-commerce represents shopping and selling goods and services over electronic network, primary Internet. Manufacturers are compelled to make many products that satisfy many demands from many customers. To make buying easier for a customer and improve selling for a merchant, recommendation systems are invented. Technique used in this work is called: "Customers also bought". To execute recommendations faster, graph databases are used, precisely Neo4j. System had to be embedded in application. Spree Commerce is used. It represents a solution for electronic shop based on technology Ruby on Rails. Products are offered for every product in a cart. That type of recommendation is called cross-selling.

• Keywords: sustav za preporuke; baze utemeljene na grafovima; Neo4j; Spree; internetska prodaja
• Keywords (english): recommendation system; graph databases; Neo4j; Spree; eCommerce
• Language: croatian
• URN:NBN: urn:nbn:hr:168:278542
• 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: 2019-03-13 22:14:57