| | SLO | ENG | Cookies and privacy

Bigger font | Smaller font

Show document

Title:PROGRAMSKE REŠITVE ZA PODPORO PRI OCENJEVANJU IN RAZVRŠČANJU VSEBIN V SPLETNIH SKUPNOSTIH
Authors:Kraner, Vid (Author)
Verber, Domen (Mentor) More about this mentor... New window
Files:.pdf UNI_Kraner_Vid_2014.pdf (1,61 MB)
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomski nalogi smo raziskali področje ter programske rešitve ocenjevanja in razvrščanja vsebin, ki so dostopne preko spletnih skupnosti. Raziskali smo, zakaj je to področje priljubljeno in potrebno. Predstavili in primerjali smo različne že obstoječe rešitve ocenjevanja in razvrščanja vsebin, ki so javno dostopne in razvili mobilno aplikacijo, kjer smo poskušali združiti dobre prakse že obstoječih rešitev. Ugotovili smo, da je za pridobitev realne ocene vsebine potrebno pregledati več različnih virov in upoštevati tudi pisno oceno ter verodostojnost avtorja.
Keywords:sistemi za podporo pri odločanju, ocenjevanje vsebin, skupinsko razvrščanje, verodostojnost, mobilne aplikacije
Year of publishing:2014
Publisher:[V. Kraner]
Source:Maribor
UDC:004.774:621.39(043.2)
COBISS_ID:18519830 Link is opened in a new window
NUK URN:URN:SI:UM:DK:7MKTEITY
Views:465
Downloads:43
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
:
  
Average score:(0 votes)
Your score:Voting is allowed only for logged in users.
Share:AddThis
AddThis uses cookies that require your consent. Edit consent...

Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Secondary language

Language:English
Title:SOFTWARE SOLUTIONS TO SUPPORT EVALUATION AND RANKING OF CONTENT IN ONLINE COMMUNITIES
Abstract:In thesis we studied the area and software solutions for evaluation and ranking of content that are accessible through online communities. We explored why is this area so popular and necessary. We presented and compared different existing solutions for evaluation and ranking of content that are publicly accessible and developed a mobile application in which we tried to combine best practices of existing solutions. Our findings were that, in order to obtain a realistic evaluation of content, is necessary to examine different sources and take into account the written evaluation and trustworthiness of author.
Keywords:recommender systems, content ranking, collaborative filtering, trustworthiness, mobile applications


Comments

Leave comment

You have to log in to leave a comment.

Comments (0)
0 - 0 / 0
 
There are no comments!

Back
Logos of partners University of Maribor University of Ljubljana University of Primorska University of Nova Gorica