Design of Personalized Catering Recommendation System based on Spark Platform

With the continuous improvement of the quality of people's daily life, people's requirements for food and travel are gradually increasing, each person at different times and places have unique preferences. However, for lacking such a phenomenon dining areas recommendation system for society, this paper aims to design a personalized restaurant recommendation system based on Spark Platform. Based on Hadoop platform, the system processes massive data in a fully distributed cluster based on spark, and realizes data storage by distributed file system and mysql. The design based on spark platform provides a basis for improving the traditional recommendation system.