Recommender Systems with Machine Learning - ICM

The video tutorial explains the role of items and their attributes in recommendation systems, emphasizing the importance of a well-structured Item Context Matrix (ICM). The ICM is described as a matrix where rows represent items and columns represent attributes, with binary values indicating the presence of attributes. An example using Tom Cruise and the movie Top Gun illustrates how ICM values can vary based on the importance of attributes. The tutorial concludes by summarizing the application of ICM in recommendation systems.

How does the item context matrix assign values to attributes based on their importance?

What can be inferred about the value assigned to Stan Lee in the movie Avengers compared to Tom Cruise in Top Gun Maverick?