Collaborative Recommender Systems in Urdu/Hindi скачать в хорошем качестве

Collaborative Recommender Systems in Urdu/Hindi

Collaborative recommender system explained in Urdu/Hindi. It is a type of recommender system that makes recommendations by collaborative filtering. It doesn't attempt to identify how appropriate an item is for a user through the features of that item but instead observes how other users have rated that item. So it only retains the user's feedback on all the items. When it has to make recommendations for a user, it first finds the most related user profile(s) that of the user the specific user and then sees how the related user has rated items that the user in selection hasn't tried/watched. If the related user has rated them high, chances are that the user in selection will also rate them high, and therefore, the item is recommended. It does make sense because, if they have rated items similarly in the past, it is a clear indication that their interests match. #recommendersystems #machinelearning