Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Charinya Wangwatcharakul"'
Publikováno v:
IEEE Access, Vol 8, Pp 86433-86447 (2020)
Recommender systems are efficient tools for online applications; these systems exploit historical user ratings on items to make recommendations of items to users. This paper aims to enhance dynamic collaborative filtering on recommender systems under
Externí odkaz:
https://doaj.org/article/5490c44007a948aeb0fdc19a01ad610d
Publikováno v:
Expert Systems with Applications. 185:115626
Recommender systems are challenging research problems being exploited to suggest new items or services, such as books, music and movies, and even people, to users based on information about the user profile or the recommended items. To date, collabor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7575a5ff56cd0f283adb05b1acb887a6
https://doi.org/10.1016/j.eswa.2021.115626
https://doi.org/10.1016/j.eswa.2021.115626
Publikováno v:
JCSSE
The recommender system is an efficient tool for online application, which exploits historical user rating on item to make recommendations on items to users. This paper aims to enhance dynamic recommender systems under volatile user preference drifts.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2684c7bef58bfa52b13138f3831f9c3
https://doi.org/10.1109/jcsse.2018.8457395
https://doi.org/10.1109/jcsse.2018.8457395