Salam Fraihat's scientific contributions
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It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
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Publications (2)
Recommender Systems are used to mitigate the information overload problem in different domains by providing personalized recommendations for particular users based on their implicit and explicit preferences. However, Item-based Collaborative Filtering (CF) techniques, as the most popular techniques of recommender systems, suffer from sparsity and n...
With the rapid increasing of learning objects (LOs) in a variety of media formats, it becomes quite difficult and complicated task for learners to find suitable LOs based on their needs and preferences. To support personalization, recommender systems can be used to assist learners in finding the appropriate LOs which will be needed for their learni...
Citations
... The multi-criteria collaborative filtering method faces the scalability problem. Because of this scalability issue, the performance of RS decreases with the increase in the amount of processing data [37]. ...
![[object Object]](https://i1.rgstatic.net/ii/profile.image/279411489296392-1443628298367_Q64/Qusai-Shambour.jpg)
... The proposed system's architecture contained a layer to perform information extraction as well as another to manage specialized knowledge to represent profiles and articles. [24] proposed an e-learning recommender system approach that assists learners in finding suitable learning objectives. The system contains a feature that enables instructors to suggest new resources to enhance delivery of the courses syllabus. ...
