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다이닝코드 - 빅데이터 맛집검색

Discover top-rated restaurants with big data analytics

다이닝코드 - 빅데이터 맛집검색
  • 4.5.26 Version
  • 1.2 Score
  • 633K+ Downloads
  • Free License
  • 3+ Content Rating
Download Android APK (89.57 MB)
Old Versions
다이닝코드 - 빅데이터 맛집검색 다이닝코드 - 빅데이터 맛집검색 다이닝코드 - 빅데이터 맛집검색 다이닝코드 - 빅데이터 맛집검색 다이닝코드 - 빅데이터 맛집검색 다이닝코드 - 빅데이터 맛집검색 다이닝코드 - 빅데이터 맛집검색 다이닝코드 - 빅데이터 맛집검색
CONS

language option suggested

better customer service suggested

Decode Life in a Week and Analyze My Taste Perfectly!

In a world full of great restaurants, Dining Code's big data technology picks out only the restaurants that suit my taste perfectly.

● Sophisticated Semantic Restaurant Search Technology

Search for restaurants using keywords such as breakfast, omakase, dining alone, parking, etc. Dining Code will delicately help you find the restaurant you desire.

● Curated Selection of Restaurants by DineCuration by Topic for Each Region

With Dining Code, you don't have to worry about where to eat anymore. Simply select your region, and Dining Code's algorithm will show you handpicked restaurants categorized by topic.

● 'Recommended Restaurants' Omakase Prepared Just for Me

Dining Code, who knows my restaurant preferences better than anyone else, provides me with restaurants I would enjoy by region.

● My Taste and Interest Regions Analyzed by DineCurator

We analyze my various activities to show my food preferences and interest regions. You can easily see what type of food I'm into lately and which regional restaurants I frequently visit at a glance.

● Member Activities and Areas of Expertise Viewed Through Food Brain Structure and Regional Tags

Can this person be helpful if I follow them? You can easily view other members' areas of expertise and activity regions related to food. Follow people who can help you with your food journey.

● Completely Enhanced Search Experience with Precise Filters

From good value to famous TV restaurants, with parking available or kid-friendly, now you can easily find unique restaurants that meet your specific criteria using restaurant filters.

● Quick and Easy Way to Find My Own Favorite Restaurant

Enjoy leisurely dining even in unfamiliar places. You can easily categorize and browse the restaurants near you by category and purpose of visit.

● Honest Reviews Rewarded with Naver Pay

Leave reviews of the restaurants you've visited, and earn 300 points per review. The accumulated points can be converted to Naver Pay at a 1:1 ratio.

● Trustworthy Gourmet Restaurant Evaluations

The Dining Code community, gathered under the common theme of 'gourmet', emphasizes consideration and respect. Enjoy delicious meals at restaurants recommended by trustworthy gourmets with detailed reviews that match your taste.

● Official Blog Guide

We operate an official blog to communicate more actively with members who cherish and love Dining Code. Check out important announcements regarding Dining Code's services, various event news, questions, and answers, etc.

● Only Essential Permissions are Requested

[Optional Access Permissions]

· Location Information: Necessary for displaying current location and providing information about nearby restaurants.

· Photos: Required for evaluating restaurants and uploading profile pictures.

· Camera: Necessary for directly capturing photos when evaluating restaurant information and food pictures.

Although optional permissions are not required to use the service, some features may be limited without their usage.

● Customer Center

Feel free to contact us anytime if you have any questions or feedback.

contact@diningcode.com

Using Experience

Discover an innovative dining companion with the 다이단코드 - 빅데이터 맛집검색 app, designed to tailor restaurant recommendations to your personal taste using advanced big data technology. Offering a convenient solution for finding the perfect dining spot, 다이단코드 - 빅데이터 맛집검색 streamlines your culinary journey, whether you're exploring new locations or seeking local favorites.

One of the standout features is the regional curation of delectable eateries. You're always just a few taps away from a curated list of restaurants aligned with your preferences, organized by topic for a hassle-free selection process. Additionally, personalized recommendations crafted Omakase-style ensure that each dining experience is suited just for you, matching your individual taste profile.

An exceptional tool within the platform is its comprehensive restaurant strategy, powered by AI. Glean insights into each restaurant's strengths, ambiance, and even practical tips like parking and reservations, without ever stepping foot inside. This feature is invaluable for planning your visits meticulously.

Furthermore, a nuanced analysis of your dining patterns presents a clear view of your current food interests, assisting in the discovery of new culinary delights. There's also the option to connect with other members, viewing their specific food expertise and dining preferences, adding a social dimension to your gastronomic journey.

For those seeking a refined search experience, precise filters allow for tailoring your search to specific needs like cost-effectiveness, parking availability, or child-friendly environments. In unknown territories, the game proves to be a reliable guide, promptly displaying nearby dining options categorized by your intent of visit.

Valuing user input, detailed restaurant reviews are rewarded with points that can be converted to Naver Pay. Engage with a culinary community and find trusted recommendations. Respectful and thoughtful evaluations are championed, creating an environment of credible culinary insights.

The application offers a dedicated blog for updates, events, and interaction with a community passionate about the dining experience. Functional without granting optional permissions such as location or camera access, it ensures service with minor functional limitations. For any inquiries or feedback, a customer center is readily available for assistance.

Using Experience

Dining Code to find restaurants using big data

[Digital Today Reporter Lee Gil-ju] You may not know that the popularity of mukbang is sky high these days. As how to eat and make a living becomes more important, people's interest in delicious restaurants has grown, and now the most popular topics on TV or in social communities are related to eating. However, it is difficult to find a real restaurant because there are a lot of advertisements and paid posts.

In order to escape from this chronic restaurant fraud(?), I met Shin Hyo-seop, CEO of 'Dining Code', who developed his own big data analysis system so that I can search for the restaurant information I want.

CEO Shin said, "It's unfortunate that true restaurants are being undervalued due to distrust of existing restaurants and restaurants that are just for fishing trips. I want to eat delicious food, but it's hard to find a good restaurant."

According to his value of 'let's be a person who can help many people', he created a service dining code that satisfies the difficulties of finding a good restaurant.

다이닝코드 - 빅데이터 맛집검색

Dining Code Service Image

Dining Code is a service that approaches restaurant search from a big data perspective. Through big data technology, we compile and analyze millions of domestic restaurant blogs on the Internet to provide reliable restaurant rankings and review information including various conditions such as food, region, and atmosphere.

It is differentiated from existing restaurant services that simply collected and displayed a DB of restaurants or provided rankings based on their own ratings.

In particular, we have introduced a system to reduce the star rating of bloggers who repeatedly post advertisements, so you can find accurate and trustworthy restaurants. Even if you enter only part of the keyword for the restaurant information you want in the search box, we can determine the user's intention and create search keyword candidates in advance. It also provides a smart keyword auto-completion function that suggests . By introducing a bottom menu bar, we implemented an optimized UI with a more intuitive interface.

In addition, by strengthening the function to search after specifying a specific area on the map, it searches for nearby restaurants from the user's current location and serves as a restaurant navigation tool that allows users to easily find restaurants without a separate map app.

Dining Code, which provides insight into restaurants, types of users, and advertising or spam elements, is a service specialized for domestic blogs and restaurant categories, and its feature is that it allows you to quickly search for restaurants that fit various themes with one click.

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Information
  • Version4.5.26
  • UpdateNov 15, 2024
  • Developer다이닝코드
  • CategoryFood & Drink
  • Requires AndroidAndroid 4.4+
  • Downloads633K+
  • Package Namecom.diningcode
  • Signature3f2e92cd3850292441ca3a963b257e35
  • Available on
  • ReportFlag as inappropriate
User Reviews
1.2 7 Reviews
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  • chanbla11mit
    chanbla11mit

    It was so convenient to find great restaurants with it. But after the recent update, whenever I try to use it again, it keeps crashing. It's an LG G2. Please help fix the errors.

  • danbi Hong
    danbi Hong

    When I go into my favorite restaurant and look at the map of restaurants, it's hard for me to choose because I can't select the restaurant on the map. It's the same when I look at it inside the bucket. Please make it possible to select a restaurant on the map. It's confusing that I can't choose from the map screen and have to swipe through them one by one.

  • chanbla11mit
    chanbla11mit

    Oh no, it seems like there's a temporary server error that's causing the search not to work. Even after reinstalling, it's still not working. I wonder why that could be. Are you using an LG G5?

  • chanbla11mit
    chanbla11mit

    In Gwangjin-gu, there's a student studying design who really loves this service. The design is neat and the selection criteria for media ratings seem reasonable, so I use it well every time. I hardly use information-related apps, but the only one I use seems to be Dining Code. With this recent update, they fixed a bug related to depth in map search, so now I'm using it even better. It looks like they have plans to expand into other content media fields, which could give them a unique position among big data utilization technology services if they can create great synergy related to restaurants. While I've enjoyed using it, there were a couple of things that were slightly inconvenient. Firstly, when starting the app, the interaction seems too slow. When looking for good food, most of the time you're hungry, and for speedy Koreans like us, even a little waiting time can feel quite long. If the intention was to make it more exciting, then it might be a success, but for me, it was a tough experience. I also use a battery sucker Nexus 5, so when using GPS, I often find my battery draining quickly.

  • chanbla11mit
    chanbla11mit

    Picture this: the ultimate restaurant finder app. It scours every blog post out there, snatching up all the photos and summing up all the juicy details in one spot. Then it throws in TV highlights and real user reviews, smushing them all together into one magical score for you to follow. Say goodbye to the headache of sifting through Yelp or Google Maps - this app is ten times better in reliability and ease of use.

  • chanbla11mit
    chanbla11mit

    It's not good at all to have a trashy ad with the discriminatory thinking that men should treat women to meals on dates. Do you know how embarrassing that is?

  • danbi Hong
    danbi Hong

    After reading the feedback you left in the review, I checked and found out that I could switch between gyro mode and fixed mode by long-pressing the icon of my location. Somehow I accidentally entered gyro mode by long-pressing there and couldn't get out. I've been using the dining code for quite a while but didn't know this before. Thank you for your response.

Security Status
Clean

It’s extremely likely that this software program is clean.

What does this mean?

We have scanned the file and URLs associated with this software program in more than 50 of the world's leading antivirus services; no possible threat has been detected.

  • Name: 다이닝코드 - 빅데이터 맛집검색
  • Package Name: com.diningcode
  • Signature: 3f2e92cd3850292441ca3a963b257e35