Zhang Yiming did not edit the team’s headlines today how to put Flipboard behind

no editorial team, based entirely on the machine to decide different content for different people, so we will see themselves as distribution channels of information, the most important thing we do is to put the user interested content recommended to him.

editor’s note: the United States 22, geeks park will be invited to hold a Facebook in the scale of 300 Sino US science and Technology Forum, and the similarities and differences, Facebook executives together to study on Sino US market and Silicon Valley cutting-edge technology especially the rapid rise of the Chinese of several enterprises, of the American entrepreneurs should have what inspiration. This article for today’s headlines founder Zhang Yiming live share.

is happy to be here with Facebook to share my thoughts and experiences with the company that makes headlines today, and also to share some of the features that Chinese users have on mobile phone reading. I introduce today’s headlines, we are a company founded in 2012, our main product is a mobile phone based on machine learning to provide information for the users of a software, we through the aggregation of the whole network as much as possible data, and analyze each user behavior, and if it is a we are authorized to log the user if we have some information on his social networking site for him to make some recommendation.

global mobile reading products, today’s headlines active users up to

in the past two years we have been installed more than 100 million users, in the use of our products 14 million active users every day, we have conducted three rounds of financing at present, it can be said that we are a company China the fastest in the field of mobile phone reading.

I made a comparison of products in the global mobile reading field – Flipboard, Yahoo, Buzzfeed, Smartnews, among these products, today’s headlines are the most active users of the year. The characteristics of our users are more male users than female users, and younger users are the majority. We found no obvious peaks and troughs on the move, because we can always use mobile phones both in the subway and in the office. Each time a user uses our time more than 6 minutes, each user spends about 40 minutes per day looking at today’s headlines, users spend more than 500 million minutes a day.

because we are a machine learning recommendation engine, users open it at any time and have new results. We have no editorial team, based entirely on the machine to decide different content for different people, so we will see themselves as distribution channels of information, the most important thing we do is to put the user interested content recommended to him.

we are currently working with 6000 third party content, including hundreds of traditional newspapers, magazines, and nearly 2000 websites, and there are still about 4000 individuals posted on it. < >

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