The problem of the existing restaurant recommendation system
01 - Impossibility of personal taste reflection
- Recommendation method based only on its own information from restaurants.
- The assumption that all customer’s characteristics are universal and identical.
- Each customers‘ taste type, however, has a lot of diversity and there are so many factors that affect the preference of food selection.
- Most services are focused on the internet's big data of restaurant information instead of analyzing customer’s taste types.
02 - Social conflict occurrence caused by services
- Harmful cases arose in Korea, caused by malicious reviews or comments.
- Abnormal services occurred in Korea which are fabricating and deleting reviews.
- Because of deletion reviews, social conflict cases have arisen between customers and restaurant owners.
03 - Limitation of NLP
- Natural language processing is not an effective tool for analyzing customer reviews to suit customer’s intentions.
- Currently, the natural language processing technology of most restaurant recommendation services is only at the level of keyword extraction.
How to solve problems?
Using Small Data : Personal Taste Data
Collecting Taste Type Data: Small-Data
- Collecting and observing each customer’s taste data.
- Collecting each customer's taste data using a test like MBTI.
Classification
- Estimate customer’s latent factors that affect each
- customer's taste type and selection of restaurants
- with collected data.
- Using statistic models to classify people with similar tastes.
Recommend from group
- You can get recommendations for restaurants by groups of users who have similar tastes.
Patent Information: Our Technology got KR and US Patents!
Korea : 10-1963609 (Granted)
Title of Invention
Determination apparatus and method of user's taste based on a latent variable.
Patentee
MABLIC Corp
Inventor
Yunsik Choung
Registration Date
2019. 3. 25
Google Patents
https://patents.google.com/patent/KR101963609B1/en
KR101963609B1 - Determination apparatus and method of user's taste based on a latent variable - Google Patents
사용자의 입맛을 설명(description)하는 잠재 변수(latent variable)에 기반하여, 상기 사용자의 입맛을 판정하는 방법에 있어서,(a) 컴퓨팅 장치의 통신부가, 미각 영역, 식재료 영역 및 식당환경 영역을
patents.google.com
US : US10803349 (Granted)
Title of Invention
Apparatus and method for determining taste of user based on latent variable
Patentee
MABLIC Corp
Inventor
Yunsik Choung
Publication Date
2020. 10. 13
Google Patents
https://patents.google.com/patent/US10803349B2/en
US10803349B2 - Apparatus and method for determining taste of user based on latent variable - Google Patents
1. A method of determining a taste of a user based on a latent variable that describes the taste of the user, the method comprising: (a) acquiring, by a computing apparatus, a response of the user on a plurality of questions associated with one of a plural
patents.google.com
Key technology of Patent
Yummirific Prototype Service introduction
Extensibility of technology
01 - Make use of Small-Data
The customer's taste information can be used as characteristic data of the platform participating stores.
02 - Cross Machine Learning
Both small data for taste type tests and big data collected according to service usage can be utilized.
03 - Recommendation for Group
Using a personal taste type profile, It can make simultaneous recommendations to multiple customers who want to eat with.
Applicability of technology
01 - Food delivery service
- It can be used as the most relevant market for this patent can be used most diversely.
- In particular, while existing services recommend restaurants based on customer actions (search or marketing landing), we can recommend their meal preemptively just before mealtime.
- A variety of customer taste-type data collected through patented technology can be provided to restaurants in the platform.
02 - Maps Service(Including Navigation)
- As the food delivery service also uses a map, the map service strongly recommends the restaurant directly.
- The advantage of this patent technology is that you can directly recommend a nearby restaurant based on your current location and driving route.
03 - Restaurant Search Service
- When searching for restaurants on search portal services such as the Naver in Korea, customers can use their taste type data to provide more accurate search results.
04 - Messaging Service
- When using this patented technology, we can recommend restaurants to reflect the tastes of each person who wants to have a meal together.
- This approach can be used as an add-on in messaging services, which typically involve meeting two or more people.
- When booking a date course for a couple, you can analyze their food taste types and recommend a restaurant that satisfies both of them.
Go yo Yummirific Taste Type Indicator Prototype Service
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