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pro vyhledávání: '"Avbelj, Igor"'
Autor:
Avbelj, Igor
V tem magistrskem delu obravnavamo pripravo priporočilnega sistema za priporočanje TV oddaj. Imamo implicitno pridobljene podatke o ogledih TV oddaj. Priporočilni sistem bo temeljil na uporabi skupinskega izbiranja, saj to pomeni, da potrebujemo m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::bb18c5289eb5fd2fcd7c5b85d378ef20
https://hdl.handle.net/20.500.12556/RUL-30550
https://hdl.handle.net/20.500.12556/RUL-30550
Autor:
Avbelj, Igor
In this master's thesis we prepare a recommender system for recommending TV programmes. The data documenting users' preferences was acquired implicitly. The recommender system will be based on collaborative filtering, because very little additional i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______333::508da1b5bee5acec2a95b3aaccf4e657
http://eprints.fri.uni-lj.si/2911/
http://eprints.fri.uni-lj.si/2911/
Autor:
Avbelj, Igor
In this thesis, we present various techniques for recommender systems. We implement the k-Nearest Neighbours method and two matrix factorizations. Recommendations generated with these methods are then combined (hybridization). For the k-Nearest Neigh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______333::4ec8d490ed1550b4ea897a4e89fd3f6c
http://eprints.fri.uni-lj.si/1868/
http://eprints.fri.uni-lj.si/1868/