【正文】 earlier study. The algorithm mainly has 5 parts: 1. Users a certain number of people are made to rate individual food items. 2. Entities the food items. 3. Value Dimensions the categories that are formed to rate the food items . Price, quality, meat content, etc. 4. Belief System is personal to each user amp。 Cosine Equation We used Jaccard`s coefficient in our models. Technologies The technologies being used to build the system are cutting and largely open source. Open source technologies help in keeping the costs in check, thus enabling the various establishments to use this setup without any cause of concerns with regards to the costs involved. Amazon Web Services has a very effective and inexpensive service known as Elastic Cloud Compute which allows one to setup servers on the fly with the specifications one requires. We will be using the same (or similar) service to keep the costs down and maintain scalability. The server uses software known Nginx. Nginx [engine x] is an HTTP and reverse proxy server, as well as a mail proxy server, written by Igor Sysoev. For a long time, it has been running on many heavily loaded Russian sites including Yandex, , VKontakte, and Rambler. According to Netcraft nginx served or proxied % busiest sites in February 2020. The database uses the ever popular MySQL as its DBMS. The web services mentioned earlier are powered by a web framework called Symfony that uses PHP and an ORM called Doctrine. OAuth and SSL can and will be used to implement security. The tablets supplied to the patrons will be running Android OS. Comparison of Existing vs. Proposed systems Table Comparison of Systems Existing System Proposed System Operating Systems IOS Android Communication Channel Communication between the customer amp。 the terminal Customer identification RFID used to identify customers Additional hardware required User accounts maintained in the database server Server location Localized server Centralized server Remendation System Remendations not implemented Remendations implemented Exclusivity Exclusive to every establishment Can be extended to be used by multiple establishments Feature Overview In this section we won’t go into the detailed features of the system, but instead take a bird’s eye look at the same. Intuitive, Beautiful amp。 sundry. It could be used by an 8 year old or an 80 year old person, from varying cultures and background. This ensures the need for a design that is intuitive, user friendly and beautiful thus making it a pleasure to use. Scalable The system has the potential of being used by millions of users at any given time, with possible peaks at various rush hours at the establishments this may be implemented at. Thus, the system will have to be scalable and should be able to acmodate as many users and as much data as required. Secure Since private information about so many businesses and individuals will be stored in our database. We will need to ensure that the whole system the web service, the app, the database as well as the server be secure from external as well as internal threats. Assumptions The success of the proposed system is based on the following assumptions that: 1. End users should be able to use tablets. 2. Network connection will always remain stable. 3. Security of server is maintained. 4. Tablets should work fault free. Risks The above mentioned assumptions, give rise to a bunch of risks. Those risks are mainly the following: 1. Intrusion of confidential data. 2. Server goes down. 3. Tablets suffer a defect. 4. End users are not able to use the tablet devices. Application Demos. Fig Login screen of Android app Fig Browsing Menu Fig Add items to order Fig Order received at kitchen Fig depicts the kitchen interface running in the latest version of the Chrome browser. The main aim of the kitchen frontend is to display the latest orders, place by the customers using the patron frontend, in a prehensive manner. An AJAX query is fired at a predefined regular interval to check if any new orders have been placed and the same is displayed. This is really not possible in the stand alone systems that currently exist. A highquality service system should be customercentric, ., it should immediately recognize the identities, favorite meals and expenditure records of customers so as to provide customercentric services. Therefore, using advanced technologies to improve service quality has attracted much attention in recent years. In recent years, various product remendation systems have been developed to enhance customer satisfaction