다이닝코드 - 빅데이터 맛집검색

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Finding good restaurants easily and satisfactorily, making the process of choosing a great place to eat easier and more enjoyable.
When someone asks, "What kind of service is Dining Code?",
we explain it this way.

In fact, the problem of finding a restaurant is nothing new. We often encounter reactions like,
"Are you still doing that?" or
"Aren't reservations and payments more important these days?" However, 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 the exhaustion of changing search terms over and over, comparing various apps, and reading reviews. In a world where every restaurant is packaged as a "great spot," finding a truly good one has actually become more complex and difficult. Finding a restaurant is the beginning of dining out and remains an essential, unresolved challenge. ● Dining Code has consistently solved this problem through technology. Rather than merely fabricating "great spots" as content, Dining Code is a service that accurately understands this issue and solves it through AI technology and data analysis. Our initial challenge was to develop technology that filters out promotional blogs, selects reliable 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 . Thus, for over a decade , under the philosophy of "honestly recommending good restaurants," we have continuously refined our technology-based restaurant search service. ● Now, even if a user inputs roughly, the system understands and finds the right results. 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 the 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,' you can check not only representative dishes like squid sundae, mulhoe, and soft tofu stew, but also keywords that even locals are unfamiliar with, thus expanding the scope of your 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 you to easily reach needs that you couldn't fully express in words with just a few clicks. We have created a structure where the system assists with the search, so you 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 right now on the Dining Code app. Please try them out for yourself, and feel free to let us know if there is anything that needs improvement. ● 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. ● DiningCode is preparing a conversational AI interface integrated with generative AI such as chatGPT so that searching will no longer be necessary . For example, with just a simple phrase like, "I'm going on a 3-night, 4-day trip to Jeju Island with my family in July; please plan a restaurant tour," the AI ​​will create a dining itinerary perfectly suited to 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...


























































































We select the optimal restaurant for your 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 R&D 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 market-leading service that
precisely analyzes vast amounts of data and solves problems using 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, we help you find great restaurants more easily and accurately. Start your own new dining life 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 restaurant reviews and uploading profile photos. · Camera: Required for taking photos of food and restaurant information when writing reviews. * 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 If you have any questions or comments, please feel free to contact us at any time. contact@diningcode.com ---- Developer Contact: Dining Code Co., Ltd. 5F, 6 Teheran-ro 79-gil, Gangnam-gu, Seoul, South Korea (Samseong-dong) 06158 206-86-92418 No. 2016-SeoulGangnam-01184 Report Directly ---- Developer Contact: Dining Code Co., Ltd. 5F, 6 Teheran-ro 79-gil, Gangnam-gu , Seoul, South Korea (Samseong-dong) 06158 206-86-92418 No. 2016-SeoulGangnam-01184 Report Directly