Modelling of the musical taste using semantic network for recommendation systems

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00221835" target="_blank" >RIV/68407700:21230/14:00221835 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/2659532.2659624" target="_blank" >http://dx.doi.org/10.1145/2659532.2659624</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2659532.2659624" target="_blank" >10.1145/2659532.2659624</a>

Result language
angličtina
Original language name
Modelling of the musical taste using semantic network for recommendation systems
Original language description
A rapid growth of the Internet and the multimedia industry has created the current need for effective information filtering systems and, in particular, recommendation systems. The main purpose of recommendation systems in music field is to provide interesting and unknown music artists to the end-user, being based on user?s musical taste. Modelling of musical taste is the key step of developing recommendation system. In this paper we suggest a method of modelling user?s musical taste based on undirectedsemantic network. To enrich the model of user?s musical taste we use information from public databases. This method relies on Social Network Analysis and Betweenness centrality measure to identify factors which influence the user?s choice.
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ACM International Conference Proceeding Series, Volume 883
ISBN
978-1-4503-2753-4
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
174-178
Publisher name
Bulgarian Chapter of ACM
Place of publication
Rousse
Event location
Ruse
Event date
Jun 27, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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