For this use case, we used the large (20M) MovieLens dataset. This dataset contains a number of different files all related to movies and movie ratings. Here we will use files ratings.csv and ...

The core of the new media platform's algorithm lies in accurately matching user interests with content value. Based on real ...

Collaborative filtering (CF) techniques are becoming very popular on the Internet and are widely used in several domains to cope with information overload. E-commerce sites use filtering systems to ...

An executive from Chinese social media giant ByteDance played down the role of its content-recommendation algorithms in creating so-called filter bubbles, as the company faces intense scrutiny from ...

We are all immersed in an incomprehensible abundance of available information, and we can only read or watch or consume some meaningless fraction of it. What we see, and what we don’t see, is heavily ...