Abstract
With the growth of digital information on the Internet, online stores, online music, video and photo libraries, search engines and recommendation systems have become the main way people are looking for information quickly.Recently, the development of deep learning has achieved many results in the fields of speech recognition, image processing and natural language processing.In addition, deep learning is also applied in the field of recommendation systems and information retrieval.This paper mainly studies a real-time recommendation algorithm for smart TV based on deep learning.The recommendation of TV program based on dnn and rnn is applied to the content-based method in the recommendation system. Experiments show that the model can effectively solve the problem of data sparsity and can alleviate the cold start in collaborative filtering to some extent.
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