Dining Code is an online restaurant guide and review platform that allows to search for the best places to eat. Unlike many other restaurant review platforms, it accumulates data from popular food blogs, and allows users to crosscheck the reviews without going to another search engine. Although it has only been nine months since the official launch, the number of registered restaurants and users are rapidly growing.
K Cube Ventures is an investment company that aids startups from the early stages with the belief that startups help make the world a better place to live. It focuses its investments in tech startups that are mainly developers of mobile applications and games. K Cube Ventures identified Dining Code’s innovative insights in restaurants and expects it to grow into a widely used platform in the country.
Dining Code distinguishes itself from other existing platforms with its extensive database. It has accumulated restaurant review data from thousands of online food blogs to score and rank each of them. Its use of data mining technologies to provide restaurant guide and reviews differentiates Dining Code from others like Yelp that relies on its own registered users for content.
Hyo Sup Shin, the CEO of Dining Code, has long worked with big data. Throughout the years, he has built an algorithm that filters out advertisements and strictly analyzes personal blogs, where most Korean foodies post their reviews. With these data, he connects the sorted out data and ranks them to provide the best information to its users fast and accurately.
In Korea, foodies often question the authenticity of reviews on restaurant review sites. Restaurants are often discovered hiring people to post positive reviews and ratings. Dining Code’s take at delivering trustworthy reviews is to make use of outside blog postings, as they typically provide more personal accounts and vivid pictures.
After its official launch in December 2013, Dining Code now claims to own 193,875 restaurants in Korea on their database. This is about a third of all the restaurants in the nation according to KOSIS (Korean Statistical Information Service). It is still growing rapidly in terms of number of users and is planning to launch a mobile application later this year. Its current use of data mining is expected to expand to other areas, such as automatic data classification.
“We want to grow and set a ground for such service with big data in Korea, where there has not yet been a single company who pioneered it,” said Hyo Sup Shin.