A Study on the Economic Impact of the New Materials Industry on Regional Development Based on Big Data

In the information explosion mobile Internet era, while people enjoy rich online services, they are also plagued by redundant and inefficient information. By mining information related to users and items, recommendation systems can generate accurate and personalised recommendations for users, which can solve these problems to a certain extent. The development of deep learning techniques in recent years has driven the rapid evolution of recommendation algorithms, while at the same time placing greater demands on the feature data of recommendation systems. In order to meet the needs of recommendation algorithms for massive amounts of features and the real-time processing of data, big data tools are needed to process the data and information. This paper builds a new approach to materials industry research and research content based on big data and deep learning technology to lay a very solid foundation and combination for subsequent research in related fields. A new research breakthrough in a new field.