Abstract
With the constant popularization of technology, recommendation systems have become increasingly important within digital media. Its main purpose is to recommend a subset of items relevant to a specific user, helping them to discover new interests. Since the beginning of the field, a static and non-incremental approach has been common, in which algorithms are trained with a fixed database,…