With the rapid development of the economy, people are getting busier and busier, and it is difficult to find time to cook, so ordering takeout or dining at restaurants has become the norm. In the 2020 work report, the government proposed to fully implement the "Internet +" process, which also indicates the arrival of the advantages of the digital economy. Therefore, it has become an inevitable trend to use Internet technology to change our daily life and production methods. Driven by this trend, the catering industry has begun to move towards informatization. In order to make it more convenient for merchants and customers to meet their respective needs and save time and energy, a takeaway ordering recommendation system has emerged. This paper uses a collaborative filtering recommendation algorithm to recommend personalized foods that users may like, so as to provide more convenient services for catering services.