Restaurant Menu Search Back-End in MongoDB & Elasticsearch• Developed a back-end search system that allowed the users and the internal team to search menu keywords data by Elasticsearch engine.• The performance of the feedback search system was improved by 25% after using the full-text search algorithm to add the index, and the code quality and provided Restful API were enhanced by the use of the Elasticsearch engine.• Based on the framework of MongoDB, Elasticsearch was integrated with Kibana to visualize the user data. • Implemented the TF/IDF algorithm to sort the feedback information by relevance, and used Elasticsearch to adjust the paging. • Implemented Eureka-Server to register each Microservice IP address for avoiding hard-coding.