![]() ![]() ![]() ![]() With the evolution of TVs and RSs, the diversity of recommender systems for TV has increased substantially. One of these domains has our attention in this paper due to the massive proliferation of televisions (TVs) with computational and network capabilities and due to the large amount of TV content and TV-related content available on the Web. Since then, the number of research papers published has increased significantly in many application domains (books, documents, images, movies, music, shopping, TV programs, and others). These systems have received increasing attention from both academy and industry since the 1990s, due to a variety of practical applications as well as complex problems to solve. Recommender Systems (RSs) are software tools and techniques providing suggestions of relevant items to users. ![]()
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January 2023
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