Research and Implementation of Film Recommendation System Based on Deep Learning

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Abstract

This paper studies the research and implementation of film recommendation system based on deep learning. Deep learning is a technology that uses artificial neural network to learn and classify data patterns. It has been widely used in image recognition, speech recognition, natural language processing, machine translation and so on. The deep learning model uses back propagation algorithm to learn from a large amount of data. As more and more training data are available for model learning, this technology will continue to improve over time. It is widely used in many industries, such as finance, transportation and health care. In this blog post, we will study how to apply deep learning to film recommendation system by considering various factors (such as user demographics, type preference).

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Yang, C. (2023). Research and Implementation of Film Recommendation System Based on Deep Learning. In Lecture Notes in Electrical Engineering (Vol. 1031 LNEE, pp. 1385–1390). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-1428-9_179

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