다이닝코드 - 빅데이터 맛집검색

● Making it easier and more enjoyable to choose a good restaurant

Easy and satisfying way to find a good restaurant.

When someone asks, "What is Dining Code?"

We explain it like this.

In fact, the problem of finding a restaurant is not new.

"Are you still doing that?"

"Aren't reservations and payments more important these days?"
We often get responses like this.

But just because it's not new,
Can we really say that this old problem has been solved?

● It's still a difficult and important problem.

People still worry about "Where should I eat?"

You've probably had the experience of changing your search terms over and over, comparing multiple apps,
and eventually getting tired of reading reviews.

In a world where every restaurant is packaged as a good restaurant,
the task of finding a truly good restaurant has become more complicated and difficult.

Finding a restaurant is the beginning of eating out,
and is still an essential task that has not been solved.

● Dining Code has consistently solved this problem with technology.

Rather than decorating restaurants with content, Dining Code is a service that understands this problem accurately and solves it through AI technology and data analysis.

The first challenge was to filter out advertising blogs, select reliable reviews, and fairly rank restaurants based on them.

Since then, we have created a review ecosystem without abuse based on a structure where user contributions are linked to fair compensation.

In this way, for over 10 years,

we have continuously improved our technology-based restaurant search service under the philosophy of 'honestly recommending good restaurants.'

● Now, even if users input roughly, the system can understand and accurately find the right search terms.

In the past, users had to input their search terms accurately to get the desired results.

However, it was difficult to accurately express the food they wanted to eat,

and if they didn't know the area well, they had no idea what to search for.

To solve this problem, Dining Code developed AI-based technology and introduced two new functions in June 2025.

1. Regional food ranking
If you enter only the name of the region, it suggests popular foods in that region,
and organizes recommended restaurants by each food ranking.

For example, in 'Sokcho Food Ranking',
you can check representative foods such as squid sundae, mulhoe, and sundubu,
as well as keywords that even locals do not know,
which expands the scope of exploration.

2. Detailed search filter
Based on the keywords searched by the user,
highly relevant and highly engaging keywords are automatically suggested.

If you search for 'Seongsu Izakaya',
more specific filters such as yakitori, sake, and taverns are suggested,
so that you can easily reach needs that you could not express in words
with just a few clicks.

Now, you don't have to worry about what to search for,
but the system has created a structure that helps you search together.

You can reach more accurate results with less input.

And these two functions are available right now in the Dining Code app.

Please experience it yourself and let us know if there are any shortcomings.

● Although it looks simple on the outside, AI technology works inside.

Dining Code's search system
does not simply show a list.
It is designed to understand the user's situation and needs,
and to precisely recommend restaurants that fit those needs.

● Now, so that you don't even need to search,

Dining Code is preparing a conversational AI interface linked with generative AI such as chatGPT.

For example,
"I'm going to Jeju Island for 3 nights and 4 days with my family in July. Plan a restaurant tour."
With just this one word,
AI will design a perfect dining out schedule for you,
taking into account time, location, tastes, and trends.

GPT has the strength of understanding the user's intentions
and interpreting the results in an easy-to-understand way.

Meanwhile, Dining Code selects the best restaurant for the situation based on its restaurant recommendation technology
and data analysis capabilities accumulated over the years.

With the collaboration of these two technologies,
users can find the best restaurant for them in Dining Code with just a word.

This feature is currently under R&D and will be released when it is completed.

● Dining Code is a technology-driven restaurant service.

Dining Code is not simply a service that collects and displays reviews.

It is a service that precisely analyzes vast amounts of data,
and solves problems with technology to lead the market.

Of course, choosing a restaurant is still difficult.

However, we want to continue to solve that difficulty with technology.

● A new dining life, with Dining Code

To help you find good restaurants more easily and accurately.

Start your own new restaurant life with Dining Code now.

● We only request the necessary permissions

[Optional access rights]
· Location information: Required when displaying current location and providing information on nearby restaurants
· Photos: Required when evaluating restaurants and uploading profile photos
· Camera: Required for direct shooting functions when writing reviews such as restaurant information and food photos

* You can use the service even if you do not grant optional permissions, but there may be restrictions on the use of some functions.

● Customer Center

Please contact us at any time if you have any questions or comments.

contact@diningcode.com