koostööfilterdamissüsteemid
Koostööfilterdamissüsteemid, or collaborative filtering systems, are a class of algorithms used by recommender systems to recommend items to users based on the preferences or tastes of many users. These systems are widely used in various applications, including e-commerce, streaming services, and social media, to provide personalized recommendations.
The core idea behind collaborative filtering is that if a user A has the same opinion as
User-based collaborative filtering recommends items by finding users similar to the target user and suggesting items
Item-based collaborative filtering, on the other hand, recommends items by finding items similar to those that
Collaborative filtering systems can be further enhanced by incorporating additional data, such as user demographics, item
One of the challenges in collaborative filtering is the sparsity of user-item interaction data, which can lead
Collaborative filtering systems have gained significant attention due to their ability to provide personalized recommendations and