Graph-based Music Recommendation Approach Using Social Network Analysis and Community Detection Method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00233848" target="_blank" >RIV/68407700:21230/15:00233848 - isvavai.cz</a>
Result on the web
<a href="http://delivery.acm.org/10.1145/2820000/2812453/p221-dolgikh.pdf?ip=147.32.83.237&id=2812453&acc=ACTIVE%20SERVICE&key=D6C3EEB3AD96C931.9BD1EC80ACA8C1C5.4D4702B0C3E38B35.4D4702B0C3E38B35&CFID=730552996&CFTOKEN=85168904&__acm__=1447656800_363718d8653d3f4bd" target="_blank" >http://delivery.acm.org/10.1145/2820000/2812453/p221-dolgikh.pdf?ip=147.32.83.237&id=2812453&acc=ACTIVE%20SERVICE&key=D6C3EEB3AD96C931.9BD1EC80ACA8C1C5.4D4702B0C3E38B35.4D4702B0C3E38B35&CFID=730552996&CFTOKEN=85168904&__acm__=1447656800_363718d8653d3f4bd</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2812428.2812453" target="_blank" >10.1145/2812428.2812453</a>
Alternative languages
Result language
angličtina
Original language name
Graph-based Music Recommendation Approach Using Social Network Analysis and Community Detection Method
Original language description
The main goal of recommendation systems is to offer items to a particular user based on some factors, such as users? interests and preferences, thus allowing for more efficient information access. This paper describes how Social Network Analysis and community detection method can be used to build a novel music recommendation approach. While most of the current reco mmendation systems consider users as the objects, which have only one key direction of interests, we focus ed on identifying the individualtraits of a particular user.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 16th International Conference on Computer Systems and Technologies
ISBN
978-1-4503-3357-3
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
221-227
Publisher name
ACM
Place of publication
New York
Event location
Dublin
Event date
Jun 25, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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