المجلة الجزائرية للعلوم
Volume 7, Numéro 14, Pages 41-45
2021-06-03
Authors : Ibtissem Gasmi . Fouzia Anguel . Ramzi Khantouchi .
With the considerable growth of information available on the web, users have difficulty to select the information that best suits their needs. In this context, recommender systems have been developed to predict users' interests and recommend product items that quite likely are interesting for them. In this paper, we propose the integration of a Book Recommender System into E-learning spaces such as Moodle.
Recommender System Collaborative Filtering, BookCrossing, E-learning platform
Sara Gasmi
.
Tahar Bouhadada
.
pages 89-94.
Hadjhenni Mhamed
.
Dennouni Nassim
.
Slama Zohra
.
pages 07-16.
Badis Lyes
.
Amad Mourad
.
Aïssani Djamil
.
pages 110-110.
Abderaouf Bahi
.
Ibtissem Gasmi
.
Sassi Bentrad
.
pages 51-57.
Kharroubi Sahraoui
.
Dahmani Youcef
.
Nouali Omar
.
pages 7-14.