المجلة الجزائرية للعلوم
Volume 7, Numéro 14, Pages 134-138
2021-06-03
Authors : Kamilya Laib . Tahar Bouhadada .
Recommandations systems have became very popular in e-marketing. many of companies are using recommender systems to maximize their gain . Recommender systems have formulated in parallel with the web. Initially Recommender systems were based on demographic, content-based filtering and collaborative filtering. This is a survey paper on recommendationsystems and details the various techniques, challenges and benifits of RSs and lists some research papers aboutrecommendation systems for e-marketing.
Recommandations system, Content based filtering, Collaborative filtering, Hybrid filtering, E-marketing.
Mazari Nacereddine
.
pages 6-21.
Riougui Salima
.
pages 138-160.
Sedrati Yasser
.
pages 12-26.
Arioua Mohad
.
Boubaya Hacene
.
Zeghba Talal
.
pages 319-331.