Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Nourah A. ALRossais"'
Publikováno v:
User Modeling and User-Adapted Interaction. 31:867-905
Recommender systems (RSs) have become key components driving the success of e-commerce and other platforms where revenue and customer satisfaction is dependent on the user’s ability to discover desirable items in large catalogues. As the number of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52e085c4855a999032a48d6677e664a7
https://doi.org/10.1007/s11257-021-09293-9
https://doi.org/10.1007/s11257-021-09293-9
Autor:
Nourah A. ALRossais
Publikováno v:
UMAP
With the growing popularity of e-commerce, recommender systems play a critical role to enhance the user experience and increase sales revenue and profitability for a company. However, the accuracy of recommender systems is often suffering from data s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66e4dcce9f9f9c29655328570e8c1da7
https://doi.org/10.1145/3209219.3213593
https://doi.org/10.1145/3209219.3213593
Autor:
Daniel Kudenko, Nourah A. ALRossais
Publikováno v:
UMAP (Adjunct Publication)
The growing popularity of e-commerce has ignited the interest of the research community in e-commerce application research and development. For this purpose, variety of applications and resources such as MovieLens and IMDb datasets have been utilized
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46be38a4f173ca53ce6126fa23d3fbdb
https://doi.org/10.1145/3213586.3226219
https://doi.org/10.1145/3213586.3226219