A Survey of Personalized Television and Video Recommender Systems and Techniques

The number of channels and genres offered by television and video service providers has increased and proliferated tremendously in recent years. This continuous increase is as a result of different factors such as preferences, interests, tastes and demographics of individuals who watch television and video. In order for television and video service providers to attract, retain and satisfy customers, they need to deliver substantive, lucrative, efficient and effective services through channels and genres that meet the interests, tastes and preferences of users/customers. Furthermore, users of television and videos usually watch their favourite channels and genres and as a result of information overload (too many channels and genres), they may miss an opportunity to watch an important program or use inappropriate time to search for their favourite channels and genres. Such Television and Video Devices/Services require systems and techniques that recommend television and video channels for users with respect to their interests, tastes, demographics and preferences. The main objective of this paper is to survey through exploration of literature and existing research, various researches undertaken in the scientific and practical area of personalized television and video recommender systems specifically from the perspective of types, architectures and applications. The paper also explores the challenges and future works proposed by some of the existing research surveyed and makes a recommendation.