다이닝코드 - 빅데이터 맛집검색
Discover top-rated restaurants with big data analytics
- 4.5.26 Version
- 1.2 Score
- 633K+ Downloads
- Free License
- 3+ Content Rating
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.
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.
- Version4.5.26
- UpdateNov 15, 2024
- Developer다이닝코드
- CategoryFood & Drink
- Requires AndroidAndroid 4.4+
- Downloads633K+
- Package Namecom.diningcode
- Signature3f2e92cd3850292441ca3a963b257e35
- Available on
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NameSizeDownload
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89.57 MB
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57.03 MB
easy to use
intuitive design
language option suggested
better customer service suggested