As the saying goes, "it is difficult for many people to adjust", but "difficult to adjust" does not mean "irreconcilable". As long as there are scientific ways and means, "difficult to adjust" can become "adjustable".
Yesterday, the first food list in China based on user evaluation big data-the list of must-eat food for public comments was released by Meituan Review. Among them, 5 restaurants including Beijing Jubaoyuan niujie Beikou Store, Shanghai Xinrongji Nanjing West Road Store 688, Guangzhou Cuiyuan taikoo hui Store, Nanjing Li Ji Muslim Restaurant and Chongqing Chenxiang were selected as "217 National Must-Eat 5 Restaurants", covering 866 restaurants in 5 cities in China, including Beijing and Shanghai.
Food is the most important thing for people, and taste comes first. People in China pay the most attention to their own taste and taste. It's the same dish. If 1 people taste it, I'm afraid there will be 1 different opinions. Faced with the "must-eat list" launched by the Internet catering platform, one of the questions that people are most concerned about is: How did you evaluate this list? Can the selection result reflect the public's taste? Can it be a reference and guidance for me? According to reports, this "Must Eat List" selection does not include expert judges, nor does it include the opinions of merchants. Instead, it takes taste as the only measure, based entirely on more than 2 million real evaluations given by 6 million users, and forms a list through comprehensive calculation of Internet data models. To put it simply, the Internet catering platform collects the real evaluation opinions of 6 million users after eating in different restaurants, and integrates them into a "must-eat list" through big data processing means. Its outstanding feature is that it can reflect the tastes of hundreds of millions of public users as much as possible.
In September last year, Michelin Guide, an internationally renowned food tourism standard, launched its first edition in China, Michelin Shanghai Guide 217, which was met with many diners and experts. People don't doubt the objectivity and fairness of the Michelin Guide selection procedure, but it's hard to agree with the result of Michelin Guide to Shanghai, because the result is mainly scored by a group of foreign "food detectives" through actual dining, comprehensive factors such as restaurant food, dining environment, service and wine collocation, which mainly reflects the evaluation of Shanghai restaurants by foreigners, and is quite different from China people's feelings about Shanghai restaurants. Of course, if Michelin Shanghai Guide is aimed at providing reference and guidance for foreigners in Shanghai, then the result will have its own significance; If we want to make a food list that provides reference and guidance for the domestic public, we must fully consider the importance that China people attach to the taste of food, fully respect the feelings and opinions of the public, and let the public "vote" through real comments.
in today's information age, the most scientific way and means is big data computing. It is based on two premises. First, there is enough data and information with wide coverage. Internet catering platform faces the comments and opinions of hundreds of millions of users every day, and has a unique advantage in collecting big data. The second is to calculate and integrate big data information to ensure that the results can truly and centrally "reconcile" the opinions of users. On this basis, it will play a reference and guiding role in users' consumption behavior. With the development of Internet technology, big data computing also has irreplaceable advantages in this respect.
the convergence of information technology and economy and society has led to the rapid growth of data, which has become a national basic strategic resource, and big data is increasingly having an important impact on production, circulation, distribution and consumption activities. In August, 215, the State Council issued the "Action Program for Promoting Big Data Development", which clearly proposed to improve the collection, acquisition, analysis and utilization of big data resources in related industries, fully tap the potential of data resources to support innovation, promote cross-domain and cross-industry data fusion and collaborative innovation, promote the innovative development of service industry and expand information consumption, explore new formats and models for collaborative development, and foster new economic growth points. The magical function and power of big data computing are just beginning to show their talents in many fields, such as production, circulation, distribution and consumption activities. It can be expected that the Internet catering platform will explore the mode of "mass consumption comments–forming big data results–serving and guiding consumption", stimulate consumption vitality through big data means, stimulate consumption expansion and cultivate new consumption growth points, and there must be huge room for growth next.
when it comes to big data, your tastes, feelings and comments become a part of big data, and finally, together with the tastes, feelings and comments of hundreds of millions of people, you can "tune" a richer, more delicious and more stable taste.