Читать книгу Advanced Analytics and Deep Learning Models - Группа авторов - Страница 94

In this chapter of MCRS, we understood the definition of a recommender system, its growing importance, and applications in various sectors. Further, we discussed about the different phases of a recommender system. Moreover, we deeply analyzed the three different filtering techniques associated with the recommender system that includes collaborative, content-based, and knowledge-based filtering techniques. In addition, we also discussed about the hybrid filtering techniques. To have a better understanding on the concept of the recommender system, we considered five research activities conducted by various researchers across the globe. Lastly, we also discussed about the various advantages and the challenges prevailing in the recommender system.

Nowadays, recommender systems are widely used in various aspects, with the passage of time, the recommender systems are being modified and are showing better performance. New techniques are implemented in the recommender system to derive a better prediction [1].