Factors Affecting the Performance of Recommender Systems in a Smart TV Environment
The recommender systems are deployed on the Web for reducing cognitive overload. It uses different parameters, such as profile information, feedbacks, history, etc., as input and recommends items to a user or group of users. Such parameters are easy to predict and calculate for a single user on a pe...
|Main Authors:||, ,|