Research and Analysis of Corporate Fintech Development Based on Big Data Innovation

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 technology 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 real-time data processing, big data tools are needed to process the data and information. Based on big data and deep learning techniques, this paper constructs a recall ranking algorithm for recommendation systems and designs a complete recommendation system with movie recommendations as the theme. This paper investigates the optimization of new enterprise management platforms based on the background of big data algorithms, which have made a great breakthrough in big data innovation.