Sustav preporučivanja pjesama zasnovan na suradničkom filtriranju

undergraduate thesis

• Title (english): Song Recommender System Based on Collaborative Filtering
• Author: Anton Filipović
• Mentor: Goran Delač (mentor)
• Committee member: Goran Delač (član povjerenstva)
• Committee member: Marin Šilić (član povjerenstva)
• Committee member: Klemo Vladimir (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2018-07-13, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Cilj ovoga rada je pobliže opisati sustave preporučivanja koji se danas vrlo često primjenjuju, posebno kod personalizacije online sadržaja te u internetskim trgovinama kako bi se izgradila personalizirana ponuda artikala. U radu se opisuju sustav zasnovan na sadržaju te sustav zasnovan na suradničkom filtriranju. Za svaki od tih sustava se navode glavne odlike te se promatraju prednosti i mane sustava. Zatim se detaljnije predstavljaju tehnike preporučivanja unutar suradničkoga filtriranja sa posebnim naglaskom na tehnike zasnovane na memoriji. Na kraju rada se daje uvid u ostvareno programsko rješenje sustava preporučivanja suradničkim filtriranjem zasnovanim na memoriji te se analiziraju rezultati koje sustav generira.

Abstract (english)

The main goal of this thesis is to describe recommender systems, which are used very often nowadays, especially with the customization of content and also in the context of online services, so as to generate a personalized item recommendation. In this thesis a content-based system and a collaborative filtering system are described. Main characteristics are listed and pros and cons are being observed for each of these systems. Afterwards, recommending techniques within collaborative filtering systems are described in detail, with an accent on memory-based techniques. At the end, an insight into the implemented programming solution for the memory-based collaborative filtering recommender system is given and the results generated from the system are analyzed.

• Keywords: Sustav preporučivanja; suradničko filtriranje; postupci suradničkog filtriranja zasnovani na memoriji
• Keywords (english): Recommender System; Collaborative Filtering; Memory-Based Collaborative Filtering
• Language: croatian
• URN:NBN: urn:nbn:hr:168:542234
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-13 20:13:27