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Factors Affecting the Performance of Recommender Systems in a Smart TV Environment
2019
Technologies
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 personalized device, such as a personal computer or smartphone. However, watching the Web contents on a smart TV is significantly different from other connected devices. For example, the smart TV is a
doi:10.3390/technologies7020041
fatcat:uj4dgtzdsbfflb6suxmixqgdia