Factors Affecting the Performance of Recommender Systems in a Smart TV Environment

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...

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Bibliographic Details
Main Authors: Iftikhar Alam, Shah Khusro, Mumtaz Khan
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Technologies
Subjects:
smart TV
recommendations
recommender systems
group recommendations
Online Access:https://www.mdpi.com/2227-7080/7/2/41

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https://www.mdpi.com/2227-7080/7/2/41

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