24th EANN 2023, 14 - 17 June 2023, León, Spain

A Novel Neural Network-Based Recommender System for Drug Recommendation

Hadi Al Mubasher, Ziad Doughan, Layth Sliman, Ali Haidar


  With the advancement of Machine Learning, recommender systems have emerged with the aim of improving the user experience in a world where data and available alternatives are tremendously growing. Employing Natural Language Processing with such systems can provide them with a sense of empowerment, given that most of the users' opinions are reflected through reviews. Artificial Neural Networks, the core of Deep Learning, have sparked a lot of interest in many research fields, owing to the appealing property of learning feature representations out of nowhere. To that end, this paper presents a novel hybrid recommender system that is based on Natural Language Processing and Artificial Neural Networks. The proposed model is evaluated and compared with a similar model, where the advantages of the proposed model are clearly presented. The paper is concluded by highlighting research opportunities that can be done in the future.  

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