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pro vyhledávání: '"Asikin, Yonata Andrelo"'
Autor:
Asikin, Yonata Andrelo
This dissertation describes a novel model for serendipitous audio recommendation, called SyLAR (Serendipity and Locality for Audio Recommendation), that goes beyond improving accuracy based on the user preferences. In addition to the emphasis on user
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______518::4d0ff11acb157b725dbf11073157d872
https://mediatum.ub.tum.de/1521772
https://mediatum.ub.tum.de/1521772
Publikováno v:
2011 IEEE 11th International Conference on Data Mining Workshops (ICDMW); 2011, p350-357, 8p
Publikováno v:
Social Informatics; 2010, p1-18, 18p