What is Content-Based Filtering (CBF)

This chapter focuses on machine learning algorithms used in real-world applications and the possibilities of using them in libraries. Recommender systems are considered to be very valuable tools as they can be personalized to each user's preferences and needs. The main goal of the recommendation system is to aid users in finding necessary items from an overwhelming number of options. In this chapter, the authors examine two book recommender systems, explain the logic behind the used algorithms, and illustrate the way to adapt the same technologies in other libraries.