다이닝코드 - 빅데이터 맛집검색

● Making the process of choosing a great restaurant easier and more enjoyable

Finding a good restaurant easily and satisfactorily.

When someone asks, "What kind of service is Dining Code?", we explain it like this:

In fact, the problem of finding a restaurant is nothing new.

"Are you still doing that?"

"Isn't reservation or payment more important these days?"

We often encounter reactions like this.

But just because it isn't novel, can we say that this age-old problem has truly been solved?

● It remains a difficult and important issue.

Even today, people agonize over the question, "Where should I eat?"

You have likely experienced, at least once, getting exhausted after changing your search terms over and over, comparing various apps, and reading reviews.

In a world where every restaurant is packaged as a "great restaurant," finding a truly good one has actually become more complex and difficult.

Finding a restaurant is the beginning of dining out, and remains a fundamental challenge that has yet to be resolved.

● Dining Code has consistently solved this problem through technology.

Dining Code is a service that does not merely embellish restaurant content, but rather accurately understands this issue and resolves it through AI technology and data analysis.

Our initial challenge was to develop technology that filters out promotional blogs, selects trustworthy reviews, and fairly ranks restaurants based on them.

Since then, we have built an abuse-free review ecosystem based on a structure where user contributions are linked to fair compensation.

In this way, for over 10 years, under the philosophy of "honestly recommending good restaurants," we have continuously refined our technology-based restaurant search service.

● Now, even if a user inputs something roughly, the system understands it well and finds it accurately.

Previously, users had to recall and input precise search terms to obtain the desired results.

However, it was difficult to accurately describe the food one wanted to eat, and if one was unfamiliar with the region, it was daunting to figure out what to search for.

To address this, Dining Code developed AI-based technology and introduced two new features in June 2025.

1. Local Food Ranking

Simply entering a region name suggests popular foods in that area and organizes and displays recommended restaurants based on each food ranking.

For example, in the 'Sokcho Food Ranking,' users can check not only representative dishes like squid sundae, mulhoe, and soft tofu stew, but also keywords that even locals are unfamiliar with, thereby expanding the scope of search.

2. Advanced Search Filter

Based on the keywords searched by the user, it automatically suggests highly relevant, high-involvement keywords.

If you search for 'Seongsu Izakaya,' more specific filters such as yakitori, sake, and pubs are presented, allowing users to easily reach needs they couldn't fully express in words with just a few clicks.

We have created a structure where the system assists with the search, so users no longer have to worry about what to search for.

This means you can reach more accurate results with less input. And these two features are available for immediate use on the Dining Code app.

Please try them out for yourself, and feel free to let us know if there are any shortcomings.

● Although it may look simple on the outside, AI technology is at work inside.

Dining Code's search system does not simply display a list.

It is designed to understand the user's situation and needs, and to sophisticatedly recommend restaurants that match them.

● To eliminate the need for searching altogether,

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

For example,

"I'm going on a 3-night, 4-day trip to Jeju Island with my family in July; please plan a restaurant tour for me."

With just this one sentence,

the AI ​​will create a dining itinerary that perfectly suits you, taking into account time, location, preferences, and even trends.

GPT excels at identifying user intent and presenting results in an easy-to-understand manner.

Meanwhile, based on years of accumulated restaurant recommendation technology and data analysis capabilities, Dining Code selects the optimal restaurant for the situation. Through the collaboration of these two technologies,

users can find the perfect restaurant on Dining Code with just a single word.

This feature is currently under research and development and is scheduled to be launched upon completion.

● 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 leads the market by precisely analyzing vast amounts of data and solving problems through technology.

Of course, choosing a good restaurant is still difficult.

However, we aim to continue using technology to alleviate that difficulty.

● A new dining lifestyle with Dining Code

So that you can find good restaurants more easily and accurately.

Start your own new dining lifestyle on Dining Code now.

● We only request essential permissions

[Optional Access Permissions]

· Location: Required for displaying current location and providing information on nearby restaurants

· Photos: Required for uploading restaurant reviews and profile photos

· Camera: Required for the direct shooting function when writing reviews, including restaurant information and food photos

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

● Customer Center

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

contact@diningcode.com

---- Developer Contact:

Dining Code Co., Ltd. 5F, 6 Teheran-ro 79-gil, Gangnam-gu, Seoul, Republic of Korea (Samseong-dong)

06158 206-86-92418 No. 2016-Seoul Gangnam-01184 Direct Report