Cethi Sharp fell into deep thought.

If it is a code that records user behavior, he can do it, even if it is a harsh and rude request, he is confident that he can achieve it through code, but what can he do when he has user behavior data? Is it to listen to the user's complaints, and modify the website according to the self-delusions of those mentally handicapped users? This is also ridiculous.

He hesitated, "What do you mean by 'turning decay into magic'?"

Roy explained with a smile: "There are many standards, for example, the same user, usually he browses the website for only ten minutes, but after you have the data left by the user, through the analysis of the data, selective iterative optimization of the website, the user's browsing time can be increased to more than an hour, or through the analysis of user data, you can know whether the blue page is popular, or the red page is more popular, in addition, through these data, we can also guess what kind of video the user likes......"

In the future, the application of big data will be very extensive, and there will be countless successful cases. There is a very popular theme that is hyped is "House of Cards", and its great success is precisely the use of network big data to guide film and television creation. This TV series is derived from Netflix's self-made drama. (Appendix 1)

Roy is not deeply involved in the study of big data, but it is absolutely no problem to build a simple theory based on business technology and demonstrate his own computer application.

Cethi is just a skilled programmer, and he is naturally quite lacking in digging into the deep value behind the rules of the Internet, and when he heard Roy give such an example, he was very surprised, and he wondered: "So may I ask, how do you achieve this great iteration of technology that you are talking about?"

Roy smiled freely, "You know, what I'm saying are the company's core secrets, but - you can be open and honest with Lance's friends." ”

Sisi feigned humility and said, "I would like to hear about it." ”

Roy pointed to the website on the whiteboard and said: "Now the website has two sub-pages, A and B, the content is exactly the same, but the art style is different, one is assumed to be red, the other is assumed to be blue, we have to judge which page is more popular with customers, what will you do?"

"Rely on your personal aesthetic, hold a meeting vote, or launch a customer research program?

"Yes, but are these methods really accurate? No, and they're expensive.

"Let's think about it, can we have a solution that is both accurate and efficient? The answer is: Yes.

"You only need to add a small program to the website code, and at the same time randomly let 50% of users see the red subpage, and the other 50% of users see the blue subpage, after a certain period of time, accumulate enough data, you can know from the background click purchase rate, which page is more popular.

"You don't need to know why a page is more welcoming, big data will tell you the answer. (Appendix 2)

Secy nodded and exclaimed, "It's incredible. ”

"Then let's take another example. Roy pointed to an area on the whiteboard and gestured: "If this is the film recommendation area, and the customer just purchased the movie "Vampire Slayer" on our website, how do we know which film in the recommendation column on the right is equally favored by the customer?"

Ceci spread his hands and joked, "Maybe we should ask an expert and let him tell us why it's not Rise of the Planet of the Apes." What do you say? Arnold. ”

Arnold Carmen said: "I think you can recommend the same director's work, or recommend the same type of work, and such films are likely to be liked by users. ”

Ceci retorted mercilessly: "If you just looked for an enema outside, would you go home and find your cutie to do it again?" (Appendix 3)

Arnold replied earnestly, "Maybe the next morning." ”

"Fack, that's stupid. ”

"Wouldn't you think about it in the morning...... Do you want to make a shot?"

"If you're around, maybe you would. ”

……

Roy watched the two bickering and didn't care. In the United States, whether it is work or life, many communication topics end in sex, and Westerners don't like to be subtle in this regard.

"Hi guys, a whole new era is beckoning you, it's a way of thinking like never before, and if you master the business rules behind the Internet, I promise you can harvest more shells when the wave of technology comes," Roy said. ”

Sisi said, "You haven't told us the correct answer?"

Roy laughed, "You haven't shown if you're worthy of knowing the answer?"

[PS] Appendix 1: In 2013, when "House of Cards" was a big success, everyone felt that Netflix had found a recipe for success, indeed, in terms of big data mining and application, Netflix has always been a very leading position in the industry, they will count a lot of user data, in addition to the common "users who love to watch A also love to watch B" such behaviors, but also fine to when users open a certain episode of a TV series, see where it stopped or turned off, and then what to do and so on. In addition, many media outlets were reporting on how "House of Cards" was a big success under the guidance of big data, so Netflix's stock rose very quickly during that period.

However, it soon became clear that the so-called "big data" could not guarantee a 100% hit rate for artistic creation. For example, after "House of Cards", Netflix took advantage of the victory to pursue and shoot a big-budget historical drama called "Marco Polo". This show spent nearly $200 million in two seasons, directly benchmarking HBO's blockbuster "Game of Thrones". I also went to many countries to shoot, including Italy, Saxestan, Malaysia, etc., and found hundreds of international actors to star, hoping to replicate the success of "House of Cards".

As a result, "Marco Polo" was scolded after it was launched, the plot of this drama is old-fashioned, the production is chaotic, and all kinds of exotic elements are nondescript. In the end, Netflix had to cancel it.

At this time, everyone found that the so-called "big data" magic also failed. In the end, everyone realized that at least with the current level of human science and technology, it is still impossible to use any technical or data methods to create films, television and art.

Appendix 2: Website double-blind test, the more famous application is the fundraising of the US presidential campaign, on the fundraising website of the President Ma campaign, the background programmer will make a dozen well-polished fundraising slogans and dozens of well-designed fundraising buttons randomly matched, and then displayed to different users at the same time, after a certain period of time, the slogan and button combination that raises the most money will become the appearance of the website later.

Until the amount of donations is obtained in the background, no one can guess which slogan and button will move people's hearts more and make people donate more money, but big data knows.

Appendix 3: Students who often watch American dramas know that they are filled with a lot of national scolding and jokes about sex everywhere. The author always feels very awkward when he writes American-style swearing. This is probably the cultural difference.