Big Data Age your exclusive APP

This is an era of informationization. While we feel convenience, we also feel the excessive expansion of information in this era. When the city begins to develop rapidly and the changes in the world have become overwhelmed, it is only by keeping pace with the world's development that it will not be left behind in the trend. Open the mailbox every day, a large number of mail may be enough to annihilate our sober minds, for the city's fast-paced, open a news app in the car or at each leisure time, no doubt for us to find a trace of survival and progress direction.

Fortunately, the rapid development of mobile products, so we can avoid holding the computer while walking to see the scene appears. The information is always coming, want to grasp seems always some difficulty. When you want to know the current hot issues or industry news, maybe you can open a traditional portal news client to see a news section, or people who follow your favorite microblogging opinions are divided, or look at your favorite blog fresh Opinion, or you can listen to the remarks of a well-known bloggers on WeChat. But all this process, you still feel cumbersome, because no matter which product is clicked open, there is no way to help you find the information you need to stop. Information retrieval becomes a difficult process, fragmented information makes efficiency a problem, and users need an easy way to handle such information frenzy.

"Information + big data processing" is the answer. This is an era of information technology is everywhere, the information is, big data processing is one way to solve large amounts of data, and today the first mobile application is a pioneer.

Big data products for the proliferation of information processing, not many of the previous one. In the era of traditional information processing, there are various ways to classify news and related information artificially, and even categorize different contents on each website, or summarize the production themes on noteworthy news spots, which is also related to the processing of WeChat The same way. However, the quality of data processing to take the way is not so simple, because the source of content providers unilaterally produced information classification and can not meet the individual needs of users, such as now Baidu will recommend different products based on the user's search, like a perfect Data processing will also be based on the user click on different news content may be interested in the analysis of news, targeted recommendations to the user, which is today's headlines this APP highlights.

APP to understand your taste, not just a simple screening of keywords or find your needs, but the greatest possible interest to you. You taste, like, do not like, it knows.

Do not like to see financial content, then there is no stock market or industry analysis appears; do not like to watch sports news, Bryant or Jordan will not appear in your line of sight; do not pay attention to the Internet, OK, science and technology blog naturally do not have to do for you Recommended! As your full-time information processor, it must be better than you know what you do not like.

Do not like financial, but happens concerned about Apple or Samsung's financial report, well, Apple's latest news must be provided to you; do not like sports, but love a handsome Beckhams, well, this is not difficult; not concerned about the Internet, But occasionally Sina or WeChat a little something or know to avoid falling out of talk, this is also very easy! This is where the headlines of today's top information processing.

The new type of information processing not only roughly eliminates the content that the user does not like, but finds the point that the user is interested in the content that the user does not like, and the individualization manifests itself differently in different products, but one thing is interworking That is, from the rough classification to find meticulous office, detailed classification. Then re-classification, and then processed. Until the breakdown of the data is no longer a classification, but a combination of keywords, so that APP products to read their own service users, reducing the possibility of users being indiscriminately bombarded, while allowing each message display has become the most effective Recommended.

Many users remember that in many products, often choose their own classification is not desirable, that information is a catch. Today, the headlines to get users interested in the classification is not based solely on the user's own choice of content, but rather in the process of user use, again and again to analyze the user behavior screening. Every time a user reads and chooses, he or she becomes an independent database where the news content clicked by the user is analyzed. For example, users who have never watched sports news have clicked on several Beckham news articles to explain the user experience Interest is not sports, but "Beckham", the next time Beckham's message, the user will not miss. By the same token, regardless of whether you are interested in a certain aspect of the content, this APP can sense your preferences and even know more than you will like whether you like this one.

Go on like this, it is foreseeable that, as the user experience more time, the more able to integrate with this product. Products will develop into users of friends, the information provided will be more and more to the user's appetite. For big data processing, this is how technology can serve humanity. In general, science and technology let humans know more about humankind and better understand the achievements of science and technology and big data processing. Today's headline gives the answer: I understand users better than users.