Advantages

• The model doesn't need any data about other users, sincethe recommendations are specific to this user. This makesit easier to scale to a large number of users.
• The model can capture the specific interests of a user,and can recommend niche items that very few other usersare interested in.

Disadvantages

• Since the feature representation of the items are hand-engineeredto some extent, this technique requires a lot of domain knowledge. Therefore,the model can only be as good as the hand-engineered features.
• The model can only make recommendations based on existing interests ofthe user. In other words, the model has limited ability to expand on theusers' existing interests.