المجلة الجزائرية للعلوم
Volume 7, Numéro 14, Pages 134-138
2021-06-03

A Survey Of Recommendation Systems For Companies

Authors : Kamilya Laib . Tahar Bouhadada .

Abstract

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.

Keywords

Recommandations system, Content based filtering, Collaborative filtering, Hybrid filtering, E-marketing.