In July 2015, UC Browser released a new version of 10.6, creating a new era of third-generation browsers. Through the new version of the UC Browser home page can be found, the mobile browser's traditional unique site navigation was folded, giving way to a new home page of the information flow presentation. At the same time, due to the different interest labels of each user, the push content shows the differentiation of thousands of people.

Reviewing the development of mobile browsers, it has gone through three stages: at the beginning of the mobile Internet, the first generation of browsers mainly solved the problem of people surfing the Internet speed and saving traffic; with the diversity of network content, the second generation of browsers gathered search, novels, videos, etc., to provide users with access to a variety of information; the third generation of mobile browsers is based on big data to achieve accurate recommendations, so that the information more accurate connection to people.

Behind the realization of personalized and accurate recommendations is UC Browser's huge user big data base and analysis capabilities. It is understood that UC Browser is the world's largest third-party mobile browser, with more than 100 million daily active users, and according to Alibaba's second-quarter earnings report, as of June this year, the monthly active users have exceeded 330 million, a large number of users to achieve the accumulation of UC Browser's large amount of big data. UC Browser has been in the past ten years, has been to take the way to do the browser of the cloud + end in the field of big data and cloud services. The UC Browser has a lot of experience in the field of big data and cloud services.

Meanwhile, UC Browser also integrates Alibaba's big data analysis platform, utilizing advanced Online Learnig technology to conduct content genetic analysis of each news item, and portrait analysis of users' long-term and short-term points of interest, etc., to ensure that each user receives the most interesting content while refreshing the information flow, increasing user viscosity. As for the content, it also analyzes and processes the data through source, dissemination, timeliness, media/geographical/clustering attributes, etc., to accurately anatomize and describe the attributes of each type of content.

Unlike traditional offline computing recommendation algorithms, all recommendations on the new version of UC Browser are based on the user's current moment of interest characteristics, UC Browser in the massive library of high-quality content in real-time retrieval of the user's current interest in the sort of content, to truly realize the personalized recommendation of thousands of people. For example, when the user's focus from the original real estate information, model information to the decoration of information, UC Browser will be real-time tracking of the migration of reading interest points, online adjustment of the recommendation model.