android點菜軟件外文翻譯--基于安卓系統(tǒng)的電子菜單軟件（英文）

1、 International Journal of Applied Information Systems (IJAIS) – ISSN : 2249-0868 Foundation of Computer Science FCS, New York, USA International Conference & workshop on Advanced Computing 2013 (ICWAC 2013) – www.i

2、jais.org 18 Intelligent e-Restaurant using Android OS Vinayak Ashok Bharadi,Ph.D Associate Professor, Thakur College of Engineering, TCET, Kandivali (E), Mumbai Vivek Ranjan, Nikesh Masiwal Student, TCET, Mumbai Nikita

3、Varma Student, TCET, Mumbai ABSTRACT The simplicity and ease of access of a menu are the main things that facilitate ordering food in a restaurant. A Tablet menu completely revolutionizes the patron’s dining expe

4、rience. Existing programs provide an app that restaurants can use to feed their menus into iOS & Android based tablets and make it easier for the diners to flip, swipe & tap through the menu. We here aim to pr

5、ovide the restaurants with a tablet menu that would recommend dishes based on a recommendation algorithm which has not been implemented elsewhere. In addition to this we run the app on an Android based tablet &

6、amp; not on an iOS based tablet which is more expensive alternative. We use a cloud-based server for storing the database which makes it inexpensive & secure. Keywords Recommendation, Tablet, menu, Intelligent,

7、 Android application, restaurant. 1. INTRODUCTION Over the years, technology has tremendously revolutionized the restaurant industry. But much of the innovation has been with point-of-sale (POS) operations. Yet other

8、 areas of a restaurant are ripe for innovation, such as the menu. Traditional restaurant service requires waiters to interact with customers directly before processing their orders. However, a high-quality recommenda

9、tion service system would actively identify customers and their favorite meals and expenditure records. [1] There is a famous saying that “People eat with their eyes”. The e-Menu provides additional information about

10、menu items and drinks than a traditional paper menu. With interactive pictures it gives additional information about the food item. Tablets are said to eliminate order-taking errors from the waiters. In the kitchen,

11、there is less confusion as everything is now written clearly. [9]Developers of similar applications maintain that customers who seat at tables outfitted with tablets spend about 20% more than those at other tables. W

12、ith the visuals, you know exactly what you’re going to get in your plate. The service goes quicker. Tablets are said to allow cutting the labor expenses. Customers feel more involved in the process. Restaurants can bu

13、ild their e- reputation and customer community in live. The restaurant menu has evolved from its humble beginnings on carte chalkboards and imageless print to today’s detailed, colorful displays. With the emergence of

14、digital tablets and user-friendly touch screen technology menus can move to a whole new surface. With this electronic menu, orders can be taken correctly the first time. There is no need to run back and forth to a dis

15、tant terminal, because the terminal is always with the server. Every order is associated with an individual seat at the table, and orders are built one customer at a time, just like on paper, but with greater accuracy

16、. Items can also easily be shared by the whole table, moved or modified, and noted and the cost can be calculated in real time. The Recommendation algorithm suggests dishes to the patrons based on previous orders. It

17、makes it easier for the customer to build his/her order and also view the most popular dishes. Moreover, various dimension filters can be used according to individual preferences e.g. Price, taste, quantity, etc. Th

18、ere are several restaurants in Mumbai which have replaced the traditional paper menus with the digitized tablet menu. But none of the apps let the patron place an order directly to the kitchen. The tablet’s use is res

19、tricted to simple viewing of the menu. 2. EXISTING SYSTEMS 2.1 Conventional Systems Restaurant services such as making reservations, processing orders, and delivering meals generally require waiters to input customer

20、 information and then transmit the orders to kitchen for meal preparation. When the customer pays the bill, the amount due is calculated by the cashier. [1] Although this procedure is simple, it may significantly incr

21、ease the workload of waiters and even cause errors in meal ordering or in prioritizing customers, especially when the number of customers suddenly increases during busy hours, which can seriously degrade the overall s

22、ervice quality.[1] 2.2 Electronic POS Terminals A very commonly implemented system, currently being used by numerous restaurants and chains all over the world, is the electronic point-of-sale terminal system. [2] Her

23、e, the servers/waiters generally take the order from the customer and head onto a terminal, where they can feed the order into a computer. The order can then be transmitted to the kitchen automatically via the termina

24、l through a network, or it may even be delivered manually by the server to the kitchen. Although a huge improvement over the pen and paper still prevalent over the world, this does not have much value addition for th

25、e customer and mostly only benefits the establishment and the administration of the establishment. International Journal of Applied Information Systems (IJAIS) – ISSN : 2249-0868 Foundation of Computer Science FCS, New

26、 York, USA International Conference & workshop on Advanced Computing 2013 (ICWAC 2013) – www.ijais.org 20 Place Order The patron will be presented with a tablet, running the Android OS. This tablet will be synchroni

27、zed with the database running on our centralized cloud powered servers. The menu data, upon synchronization, is stored on locally on the tablets so that the user, i.e. patron, need not wait for the menu to be downloaded

28、from the servers. This will allow faster access to the menu. The user can then browse the menu however they want to, sorting the items on various dimensions like price, popularity, ratings, etc. The user can also click t

29、hrough to view more information about any item like nutritional information, ingredients, trivia and any other content that the restaurant administration may feel like including. The user can also view personalized recom

30、mendations for items that they may like. This is one of the most important aspects of our system that not only enhances the customer experience but can also help increase revenue for the business. While browsing through

31、the menu, the customer may add items to his/her order. This process is commonly known as “building the order”. After the order is built and read, the user may go ahead and place the order. The staff will automatically an

32、d almost instantly be notified about the new order so that they can act on it. If the establishment allows, the user may even track the status of their order so that they know when to expect their food and drinks to land

33、 up on their table. No If Correct Yes 3.3 Recommendation Overview The recommendation algorithm is an innovative feature that we aim to include in our menu. When most tablet menus provide the customers with only a simple

34、 menu, this system will provide recommendations which will make it easier to build an order considering what other customers have ordered previously or the similarities between various dishes. Recommendation systems usin

35、g sets were considered [2]. We finally decided to use the below methodology, which has been discussed in an earlier study. [3] 3.3.1 Methodology The algorithm mainly

36、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 e.g. Price, qualit

37、y, meat content, etc. 4. Belief System - is personal to each user & allows telling the system what ideal value they want each value dimension to have. 5. Ideal candidate - set of ideal value dimensions that a

38、re formed on the basis of a weighted average. Each User rates a food item on a scale of 1 to 5 with respect to two things: 1. User’

39、s ideal value dimension 2. The weight or the importance of that value dimension Calculate Bill Cancel Registration of Restaurant on Tablet First Time User Login Tablet Menu Screen Browse Menu View Item Info View Recom