Big data is not mysterious, a text to understand how large data is to serve you

Source: Internet
Author: User
Keywords Big data for you how read

Ma Yun recently talked about cloud services, Alibaba recently in the big Data Summit. In fact, regardless of cloud service or large data, the concept is very virtual, but the specific how to produce business value, how we use in life, is the real king. --Spit in front of the words.

Anyway。

Everyone is talking big data, which seems to be a very fashionable but very distant word. But, you know, every single one of your actions will be applied to big data, and it will all be part of the big data.

For example, http://www.aliyun.com/zixun/aggregation/33721.html ">2014 one day of spring, you just finished reading" From the stars of you, "began to the heroine's dress up. So, you finally can't help open Taobao, but because lazy, you only entered a few words: "June."

Yes, Next, you will see a lot of your favorite coats, bags, hair ornaments, lipstick and so on. But you know, behind your search, how does the data serve you?

First of all, your words will be translated into a language that the machine can understand. In this way, data sen just know what you want.

Knowing what you want, next, he's going to take what you want in his own library.

Before the notion of big data, perhaps he pulled out the

  

Or is

  

If that's the case, you'll need to flip a few pages to see the coat or bag you want.

But with big data, data Sen will first judge who you are based on your previous shopping experience:

1, strange, your personal information is clearly filled with "male", why buy all female supplies? Sanitary napkins, bra, suspenders and stockings. Well, you must be trying to cheat the data, Sammy. But unfortunately, the data first Sen cognizance, you are the female Han paper!

2, you bought before are European and American style clothes. Then, about Japan and Korea little cute clothes will not give you.

3, Yi, the original you are wearing XL? It seems that only a large size for you. Those small clothes are on the sidelines.

4, sorry, know your age ... 30 years old, just that year! The last atmospheric windbreaker.

5, you recently is not infatuated with make-up? Bought so much eye shadow and foundation, give you a lipstick bar, thousand Song Yi!

6, Ah, you do not like the round neck?

7, again to see, and you have the same taste of people, they bought what?

Well, it should be. No, don't forget, you are a pro from Shanghai, in order to save some freight, give you a preference to see local sellers.

With such a big string, the data has helped you sift through a whole bunch of things you don't need and match the automatic priorities that fit you.

You think this is over? Of course not, data Sen also pinch point, according to the usual, this time you should be with boyfriend to eat. Why didn't you go to dinner instead of going to the Internet? Did you break up, or do you have a bad mood? In short, the data sen need to give you a bit of positive energy, give priority to the store you like, and tell you, they drop!

Ok. Perhaps until now, you finally understand how big data is serving you. Well, after experiencing this service, congratulations, you've added a new piece of data.

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