Preporučiteljski sustav za elektroničku trgovinu

master's thesis

• Title (english): Recommender System for e-Commerce
• Author: Danijel Batrenjak
• Mentor: Boris Vrdoljak (mentor)
• Committee member: Boris Vrdoljak (predsjednik povjerenstva)
• Committee member: Marko Banek (član povjerenstva)
• Committee member: Igor Mekterović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2014-07-10, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

U ovom diplomskom radu opisane su vrste sustava za preporuku. Ovi sustavi u velikoj mjeri pomažu firmama koje se bave e-trgovinom na način da unaprijeđuju njihovo poslovanje. Oni korisnicima daju važne podatke o tome što bi ih na stranici moglo zanimati te na taj način smanjuju korisničko traženje određenih predmeta kroz velike baze podataka. Razvijanje ovih sustava i danas je područje istraživanja zbog velikog područja primjene preporučiteljskih sustava.

Abstract (english)

This thesis describes the types of recommending systems. These systems greatly assist companies engaged in e-commerce in a way that they enchance their business. They provide users important information about what might interest them, thus reducing the users roaming through large databases of information. Development of these systems is an area of research because if thelarge areas of application of recommending systems.

• Keywords: Preporučiteljski sustavi; e-trgovina
• Keywords (english): Recommending systems; e-commerce
• Language: croatian
• URN:NBN: urn:nbn:hr:168:323805
• 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: 2018-02-06 07:47:26