| 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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