The last question is the time to ask big data.

Good afternoon, ladies and gentlemen, the last question is about the age of big data, as if I were to give a preview of what I would like to share 15 minutes earlier. I introduce Baidu's view below, how to use large data to drive E-commerce.

First of all, the big data, first say how big the data, say how much data before the first to a concept, from the birth of human civilization until 2003, 5,000 years between the total number of people to produce? Also produced 5 EB data Capacity, 2003 to 2013 5 EB expansion to 7,900 eb,2013 years to 2020 data capacity will expand 44 times times, that is to say, ZB, about 35.2ZB.

What is the big data role? Marketing point of view, nothing more than three words, mining, forecasting, association. I think of a typical example, friends who are familiar with American dramas like to watch the card house, itself is the big data brought about by the business opportunity, he based on a large number of data, analysis of the audience most welcome the director who is the most favorite screenwriter who, most want to see what the plot, according to the mass of data and then write down, make up, The success of the card house is the business miracle of Big data, from the point of view of Baidu, we have the data to help you do the same thing.

We know that the most recently watched movies, the ABC Pacific, the small age and so on, is a small time, the most recently watched actor who is? Feng Shao, the third question is relatively simple, the Chinese good voice audience mainly distributes at 30-39 years old, the Chinese good voice is generally the family gathers together to look, if is the fast male, the age layer is many, this is the simple audience portrait example. We can accurately predict the box-office of a movie before it is officially released.

Before the opening of the Chinese partners, we have been searched according to his trailer, we make accurate forecasts, the Chinese partner final box office is 500 million, to not 600 million, our history forecast box-office volume is quite match. The big Data age is also changing our marketing model, we have done data analysis, rainy day what food sales high? Small cakes, if we put such data together in the weather forecast, so that they prepare a little cake, it will be very effective to know their trend. For example, the results of the data analysis, the wet place to promote the soft things, in the dry place to promote moisturizing, flexible products.

Baidu, the world's largest Chinese engine, is born with the key to the big data, according to the 6 billion search request, to help you analyze the search results, our large data system, is China's largest user behavior database, a lot of data not only the search box, pictures, videos and so on. How to do the technical means, here is a simple word. Multimedia to cut users, regardless of his behavior according to the segmentation, landing what site, click on what ads, etc., can also be positioned. According to the statistics of the population, sex, income, industry, age, hobby and so on, other behavior, whether to buy a house, car and so on. To the target customer segmentation, according to the ad group needs, how he distributed on the channel, how to search, the last limited market budget spent to the most accurate, in turn to help the electric business marketing. First, mining, correlation prediction, and finally effective application.

Today we see our electrical business to maintain a high speed growth, from 09 to 12, the number of electricity quotient to turn several times, in the Baidu Search library inside the first digital home appliances, the second clothing, third is cosmetics, netizens search high, market potential, market. Apparel industry as a whole trend of search can be seen, there are several peaks, a seasonal, online shopping platform Double 11 such activities, the next peak September came, I believe that you apparel industry to prepare for this in advance.

First see the apparel industry search has a very strong preference, 58% of consumers will not search the brand, Internet brand building ready. This is the Baidu search brand rankings, the traditional brand ranking response search volume, reaction to the brand's awareness, this is the brand of apparel manufacturers and so on, such a data can be seen at present the brand awareness of what is the situation.

Large data marketing is the person's marketing, the searcher's analysis of the crowd, the first is the brand cross analysis, where the customer show is relatively young brand, is the United States such. Han all clothes, crack silk is girls ' clothes and so on. Every customer is more popular, crack silk is beauty body and so on. From another point of view they like the film, where guests like to compare the public and so on.

Just to show you some examples of data, Baidu has a large number of data, you effectively analyze your brand associated with the target audience's favorite TV movies, entertainment activities, other acts, the effective provision of these actions will effectively repay your investment rate.

2013 Apparel Industry Wireless search traffic accounted for One-third, we forecast next year is half, 2015 apparel industry wireless will be the mainstream. Apparel Industry Mobile Population We are divided into three categories according to the search crowd, 30% is uniform simplicity, 30% is fashionable, 30% is high-end. Here is a question about whether the combination of their effective geographical location can produce better results. such as Xidan within 5 kilometers, three Li Tun different brand advertisement, zoo, every guest, we can the precise directional method combination, what kind of mobile device, according to the past characteristic produces what kind of behavior, can finally carry on the direction, the visit time, the movement trajectory, whether repeats the orientation, thus lets the electric business send past advertisement, Let the consumer feel for him. Because Baidu has the world's largest Chinese consumer behavior database, a large number of data based on the provision of a variety of tools, mining, forecasting and application, so that the electricity quotient in the above return on investment to achieve the most ideal state, this is the big data times how Baidu is based on user behavior to help the electricity quotient