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다이닝코드 - 빅데이터 맛집검색

다이닝코드
Trustable Ranking IconTrusted
1K+Downloads
78MBSize
Android Version Icon7.1+
Android Version
4.12.6(17-03-2025)Latest version
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(0 Reviews)
Age ratingPEGI-3
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Description of 다이닝코드 - 빅데이터 맛집검색

Dining Code is a restaurant recommendation application designed for users seeking personalized dining experiences. This app utilizes big data technology to analyze individual tastes and preferences, making it easier to find suitable dining options based on specific criteria. Available for the Android platform, users can download Dining Code to enhance their culinary outings.


The app employs sophisticated semantic search technology, allowing users to search for restaurants based on various keywords such as “breakfast,” “omakase,” “eating alone,” and “parking.” This feature enables a detailed search experience, ensuring that users can quickly find restaurants that meet their specific needs and desires.


Dining Code also offers curated lists of restaurants categorized by region and topic. Users can select their location to view a selection of restaurants tailored to their preferences. This curated approach eliminates the need to sift through numerous options, presenting users with relevant choices at a glance.


A unique aspect of Dining Code is its ability to recommend restaurants based on individual tastes. The app's algorithm analyzes user activity and preferences, providing tailored suggestions that align with personal dining habits. Users can explore new restaurants they might enjoy based on this personalized insight, making it an effective tool for discovering local culinary gems.


For those who enjoy sharing their dining experiences, the app incentivizes reviews with rewards. Users can leave honest reviews of restaurants they have visited, earning points for their contributions. These points can be converted into Naver Pay at a 1:1 ratio, fostering an engaging community of food enthusiasts who share their insights and evaluations.


Dining Code emphasizes the credibility of its restaurant evaluations by featuring reviews from trusted gourmets within its community. This aspect allows users to receive recommendations from individuals who have similar tastes, promoting a supportive environment for food lovers. The focus on sincere evaluations ensures that users can make informed decisions about where to dine.


The app also includes a feature known as Dacorism, which analyzes user activities to reveal food preferences and areas of interest. This analysis allows users to gain insights into their evolving tastes and the types of restaurants they frequent. By visualizing these trends, users can better understand their dining habits and explore new culinary avenues.


To enhance the search experience, Dining Code provides precise filters for users to find restaurants that meet specific requirements. Features such as cost-effectiveness, child-friendly environments, and parking availability can be applied to the search, allowing users to narrow down their options effectively. This filtering capability ensures that users can find restaurants that cater to their unique needs and preferences.


Users can also view nearby restaurants categorized by purpose of visit. This feature is particularly useful for those in unfamiliar locations, enabling them to discover dining options that align with their immediate needs, whether for a casual meal or a special occasion. The app's organization by category aids in quick decision-making, enhancing the overall dining experience.


Dining Code's official blog serves as a communication platform for its users. The blog provides important notices, event news, and answers to common questions related to the app's services. This additional resource fosters a sense of community among users, who can stay informed about updates and enhancements to the application.


The app requests only necessary permissions to function effectively. Users must grant location access to display their current location and provide information on nearby restaurants. Optional permissions for photos and camera usage enhance the review process, allowing users to upload images and evaluate restaurants visually. While not all features require these permissions, granting them can enrich the overall user experience.


Dining Code is designed to connect food enthusiasts with the dining options that best suit their tastes. With its advanced search technology, curated recommendations, and community-driven reviews, the app stands out as a valuable resource for anyone looking to explore new culinary experiences. By analyzing individual preferences and offering tailored suggestions, Dining Code simplifies the process of finding great restaurants, making it a practical tool for users seeking to enhance their dining adventures.


For further details, users can explore the official blog, where they can find additional information, including important notices and updates regarding the app. This connection to the app's community and resources enhances the overall user experience, ensuring that Dining Code remains a valuable companion for food exploration.

다이닝코드 - 빅데이터 맛집검색 - Version 4.12.6

(17-03-2025)
Other versions
What's new○ 맛집 평가를 남길 때 별점 3.5, 4.5도 선택할 수 있게 되었어요.○ 지역을 검색하면 해당 지역에서 많이 검색된 키워드를 함께 알려드려요.○ 맛집 평가카드의 사용성을 개선했어요.○ ‘근처 추천 맛집’ 과 ‘둘러볼만한 맛집’ 이 추가되었어요.○ 사진 전체화면에서도 평가 내용을 함께 확인할 수 있도록 개선했어요.○ 검색어 자동완성 기능이 추가되었습니다. 이제 식당뿐만 아니라 지역, 음식, 키워드도 더 쉽게 검색할 수 있어요.○ 간단하게 가입하고 로그인할 수 있도록 개선했어요.○ 검색 엔진이 더 정교해졌습니다. 내가 원하는 맛집을 정확하고 섬세하게 찾아줘요.○ 식당 정보 화면에서 해당 식당과 비슷한 맛집을 보여드려요. 내가 좋아하는 맛집과 유사한 식당들을 살펴보면서 맛집 라이프를 확장해보세요!○ 드디어 버킷리스트가 새롭게 바뀌었습니다. 이제 폴더에 맛집들을 쉽고 편하게 저장할 수 있어요.○ 안정성을 개선했어요.

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다이닝코드 - 빅데이터 맛집검색 - APK Information

APK Version: 4.12.6Package: com.diningcode
Android compatability: 7.1+ (Nougat)
Developer:다이닝코드Privacy Policy:http://www.diningcode.com/policy.privacy.phpPermissions:16
Name: 다이닝코드 - 빅데이터 맛집검색Size: 78 MBDownloads: 25Version : 4.12.6Release Date: 2025-03-17 16:22:16Min Screen: SMALLSupported CPU:
Package ID: com.diningcodeSHA1 Signature: FB:04:00:C0:A6:1D:3B:88:93:6C:13:27:79:32:A1:31:40:82:D7:56Developer (CN): Organization (O): Local (L): Country (C): 82State/City (ST): Package ID: com.diningcodeSHA1 Signature: FB:04:00:C0:A6:1D:3B:88:93:6C:13:27:79:32:A1:31:40:82:D7:56Developer (CN): Organization (O): Local (L): Country (C): 82State/City (ST):

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