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pro vyhledávání: '"Xijiao Geng"'
Context-aware processing is a research hotspot in the recommendation area, which achieves better recommendation accuracy by considering more context information such as time, location and etc. besides the information of the users, items and ratings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccffc3213fa976b331725aa27a71c8e8
https://hdl.handle.net/10453/156756
https://hdl.handle.net/10453/156756
Publikováno v:
Knowledge-Based Systems. 166:132-139
The recommendation algorithm is attracting increasing attention in analyzing big data. Matrix factorization (MF) is one of the recommendation methods and Singular Value Decomposition (SVD) is the most popular matrix factorization method. However, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10d38ab9310ec2708312e4229d085e98
https://doi.org/10.1016/j.knosys.2018.12.022
https://doi.org/10.1016/j.knosys.2018.12.022
