DiningCode Launches AI Restaurant Keyword Suggestions and Local Food Rankings

## AI Restaurant Helper Arrives! DiningCode Unlocks a New World of Search Has the journey to find a delicious restaurant sometimes felt overwhelming? Surely, everyone has experienced not knowing what to eat in an unfamiliar neighborhood, or struggling to find the desired answer when searching with vague keywords like 'places with a good atmosphere.' Now, these worries are expected to become a thing of the past. This is because DiningCode, a restaurant search platform, has unveiled new features that dramatically improve user search convenience by putting big data and AI technology at the forefront. The first feature to grab attention is the **'Restaurant Association Keyword'** functionality. For example, let's assume you searched for "Izakaya." Even if a precise menu item doesn't come to mind, DiningCode's AI immediately suggests keywords closely associated with Izakayas, such as "sake," "yakitori," and "highball." Thanks to the AI's insightful recommendations, even if users don't have a specific idea, they can now more easily discover restaurants with precisely the atmosphere and taste they were looking for. It offers a magical experience that turns vague thoughts into concrete choices. It's like having a smart friend by your side, giving advice because they already know your gastronomic preferences. Next is a reliable guide for travelers and foodies: the **'Local Food Ranking'** feature. When visiting an unfamiliar city, the worry of "What should I eat here to be known for having a good meal?" will now be a thing of the past. DiningCode neatly organizes and displays the most popular dishes in a specific area by ranking. For instance, taking Busan as an example, you can grasp at a glance not only the undisputed representative dishes like Dwaeji Gukbap, Nakgobsae, and Ramen, but also hidden delicacies favored by locals. Since carefully selected recommended restaurant information is also provided for each dish, a fail-proof gastronomic experience is guaranteed. Beyond simply listing menu names, it can be called true culinary curation that helps users deeply understand and enjoy the local food culture. Im Chan-yeop, CEO of DiningCode, emphasized regarding this feature launch, saying, "Our core goal is to help anyone easily find a lifelong favorite restaurant, even when they lack local information or struggle to recall precise search terms," and expressed his ambition to "open a new horizon for gastronomic experiences beyond simple search." This highlights DiningCode's strong commitment to go beyond merely providing information, aiming instead to resolve user inconveniences and deliver enjoyable experiences. Furthermore, DiningCode is reportedly developing a conversational restaurant search interface linked to generative AI. A system where AI suggests the optimal restaurant based on DiningCode's vast data when natural questions like "What should I eat in Seongsu?" are asked, foreshadows a future where one can conveniently explore restaurants as if conversing with a personal assistant. The ultimate search experience, accurately understanding user intent and providing customized information, will soon become a reality. Now, with DiningCode, searching for restaurants will no longer be a difficult task but an exciting culinary adventure. Experience DiningCode: an AI compass for lost foodies, an AI partner that will make your next meal perfect!