Browsing by Author "87059743-7f24-4eb9-8b6a-48bd33854aa7"
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Methods to improve recommender systems in e-commerce and e-learning environments
Recommendation systems play a critical role in the information Science application domain especially in e-commerce ecosystems. in almost all recommender systems statistical methods and machine learning techniques are used to recommend items to the users. Although the user-based collaborative filtering approaches have been applied successfully in many different domains some serious challenges remain especially in regards to large e-commerce sites for recommender systems need to manage millions of ...