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A cognitive social based automatic ordering system

IP.com Disclosure Number: IPCOM000248088D
Publication Date: 2016-Oct-25
Document File: 7 page(s) / 46K

Publishing Venue

The IP.com Prior Art Database

Abstract

This disclosure define a cognitive social based order system. It is able to collect input of order system,including detectinguser’s profile ,and their relationship, as well as collecting restaurant information. It is able to generate a order list automatically, and customized the generated order list ,and give suggestion. It is also able to provide ordering manually and provide recommendation. The method is comprising of three part: •Analyzing and collect user’s/restaurant mixed information from collected input of order system. •Cognitive order system base on any user’s profile/ their relationship /restaurant related, etc information •Cognitive order system base on any user’s profile/ their relationship /restaurant related etc. mixed information.

This method and system is able to promote company products and businesses on Cognitive Area, and enhance order efficiency, accuracy in order, satisfaction for people in dinner,as well as user experience. It support 6 billion different countries users all around the world,and it saves resource, and no more waste of food.

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Page 01 of 7

A cognitive social based automatic ordering system

When people go to restaurant to have dinner, they may often to feel difficult to order food, especially order for a group of people. Sometimes order too much food to eat out and waste them.

Sometimes order too little .

Sometimes order inappropriately, that invitee dislike to eat.

That is because people is not able to familiar with:

ØAll the other people's favorite food or taste.
ØHow big of the other people's appetite.
ØRestaurant's cooking style for every dish, especially for Chinese food.
ØEvery dish's portions or serving size , it may be totally different in different restaurant even for the same dish name.

Besides, ordering should be different when have dinner with different social relationship , for example, have dinner with customers, with boss, with friends, with family…

So ordering dinner should also be conform to the occasion.

All these aspects will cause people feel difficult to order.

So we a method and system to


Recognize other people's favorite food or taste
Recognize how big of the other's appetite.

Recognize restaurant's cooking style for every dish.

Recognize different dish's portions or serving size.

Recognize the social relationship in dinner, so that to be conform to the occasion.

All these aspects above are variable according to different group of people and different restaurant and different occasions. So, need to think out a better method to solve this problem.

How if it can be order in restaurant appropriately and automatically according to peoples favorite food/taste, people's appetite , restaurant's cooking style, dish portions, social relationship and etc. factors ?

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Core idea is defining an individual and customized cognitive social based order system, method, framework.

It is able to order automatically according the profiles ,which include other people's favorite food or taste, how big of the other's appetite, restaurant's cooking style for every dish, different dish's portions or serving size, the social relationship in dinner, .etc . And people are also able to change or update the auto menu ordered, and system will recommend some your favorite dish , and give your suggestion if the total ordering is bigger/less than your group total appetite, and also suggest you dish that to be conform to the occasion.

The method/system is comprising of :
Defining customized cognitive order system.

Providing individual taste reorganization service. Providing individual appetite reorganization service.
Providing restaurant cooking style reorganization service.
Providing restaurant portion reorganization service.
Providing social relationship reorganization service.
Defining personal profile system.

Defining food comparing system.

Defining order recommendation and suggestion system.

Advantage of use this method and system :
•Promote company products and businesses on cognitive Area
•Enhance order efficiency
•Enhance accuracy in order.

•Enhance satisf...