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Title:ZASNOVA SISTEMA ZA PRIPOROČANJE ZA PLATFORMO UMB-SMARTTV
Authors:ID Baumgartner, Sandi (Author)
ID Rojc, Matej (Mentor) More about this mentor... New window
ID Kačič, Zdravko (Comentor)
Files:.pdf VS_Baumgartner_Sandi_2016.pdf (3,04 MB)
MD5: F2F2A09D0C51AA74CE54FA7E7EDC68DA
 
Language:Slovenian
Work type:Undergraduate thesis
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:IPTV platforme razpolagajo s stotinami TV kanalov in velikimi količinami multimedijskih vsebin. Posledično so uporabniki vedno bolj obremenjeni s količino informacij, ki jih ne morejo več učinkovito uporabljati. Pomoč uporabnikom lahko prinesejo sistemi za priporočanje, ki se lahko uporabijo na primer za priporočanje novic, glasbe, filmov, restavracij ipd. V diplomskem delu podrobneje predstavljamo sisteme za priporočanje in pristope, ki se uporabljajo za priporočanje predvsem tistih vsebin, ki s čim večjo verjetnostjo določenega uporabnika tudi zanimajo. Na osnovi analize današnjih sistemov predlagamo tudi zasnovo sistema za priporočanje za platformo UMB-SmartTV.
Keywords:sistem za priporočanje, IPTV, metoda filtriranja vsebine, metoda filtriranja s sodelovanjem, UMB-SmartTV
Place of publishing:[Maribor
Publisher:S. Baumgartner
Year of publishing:2016
PID:20.500.12556/DKUM-59885 New window
UDC:621.391:621.397.13(043.2)
COBISS.SI-ID:19850518 New window
NUK URN:URN:SI:UM:DK:JWLKHGZY
Publication date in DKUM:04.07.2016
Views:1662
Downloads:113
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:DESIGN OF THE RECOMMENDATION SYSTEM FOR UMB-SMARTTV PLATFORM
Abstract:IPTV platforms offer hundreds of TV channels and a large quantity of multimedia content. Consequently, users are more and more burdened with an amount of information they cannot effectively use. Users are offered help with their decision-making process via the use of various recommender systems. These can be used for recommending news, music, movies, restaurants, etc. In this diploma thesis we present those recommender systems and approaches in greater detail that are mostly used for recommending content which is deemed to be probably interesting to the specific user. Furthermore, we recommend the design of a recommender system for the UMB-SmartTV platform, based on the analysis of current systems.
Keywords:recommender system, IPTV, content-based filtering, collaborative filtering, UMB-SmartTV


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