Chapter 1541 (2/2)
However, Li Mu's expression didn't show any dissatisfaction. Instead, he smiled to Anne Hathaway and said, ”Schwarzenegger thinks Twitter is a good channel for campaign promotion, so I hope we can help.”
Anne Hathaway nodded and said seriously, ”I've heard people talk about it. Hollywood is very supportive of his campaign.”
Li Mu said with a smile, ”Hollywood supports it, and I support it. If he wants to improve the success rate of the campaign through Twitter, I'm willing to help.”
Wendy Cooper didn't expect Li Mu to completely ignore Anne Hathaway's disrespect. If you change your temper to that of the British aristocrats, you will at least show her a bad face, even if you don't scold Anne Hathaway. But Li Mu thinks that there is something wrong with it, not to mention to his heart.
At this time, Li Mu's mobile phone rang again. This time, it was a number from the United States.
Hello
”Hello, is this Mr. Li Muli, please?”
Schwarzenegger asked in a whisper, even listening to the voice is mixed with some tension.
In fact, Schwarzenegger is really nervous. Although he is a first-line Hollywood star, he is far worse than Li Mu in terms of value and social influence. It is a bottomless and inevitable thing to ask for help from such top players as Li Mu. It is hard to control his nervous mood.
At this time, Li Mu said with a smile, ”it's me. Are you Mr. Schwarzenegger?”
”It's me.” Schwarzenegger smiled and said politely and modestly, ”I'm very sorry to disturb you, Mr. Li. I'm calling for two reasons. One is because I've heard your name for a long time and I'm very admiring. The second is some personal requests, hoping to get your help.”
”Mr. Schwarzenegger, you are so polite. I grew up watching your films. If I really want to use the word” admire ”, I should admire you.”
After that, Li Mu said: ”the second thing you said just now, Leo has already told me, and I am very willing to help as much as I can, but I don't know what your core appeal is? Do you want us to promote your political opinions to users, or do you want us to promote you to users? ”
Schwarzenegger was excited at the other end of the phone. He tried to adjust his breathing and said after calming down: ”I personally prefer the latter. I wonder if Mr. Li has any good suggestions?”
Li Mu said with a smile, ”I also prefer the latter, but if the specific way is too troublesome on the phone, I'll arrange it later to let my colleagues in the United States make an algorithm adjustment to increase the attention of American users to you, which should quickly improve your fans.”
”Thank you so much, Mr. Li!” Schwarzenegger said in a hurry
”My friend's friend is my friend. Mr. Schwarzenegger is welcome.”
Although Li Mu wants to help Schwarzenegger, he doesn't want to affect the twitter user experience in order to help Schwarzenegger.
If I show the twitter released by Schwarzenegger to those users who have not paid attention to him by pop-up alert, or by automatically appearing in the user waterfall, it will deviate from my own definition of twitter. Although this kind of delivery effect will be very strong, Li Mu doesn't want to open such a precedent because of Schwarzenegger, which is so powerful Promotion is not needed when it is not necessary, but only for its own use when it is necessary.
As for the second method, it's much softer to deal with it. You just need to gently guide users to pay attention to Schwarzenegger.
In order to directly guide some accounts, Li Mu left a hidden path in twitter for a long time.
In the twitter page, there is a column called ”your friends are also following”. This column has a high display volume, which basically accompanies the use of users throughout the whole process. In this column, algorithm is used to run a big data through the following list of users' following objects and recommend some people worthy of their attention to users.For example, a pays attention to 100 people, and each of these 100 people pays attention to 100 people on average. Without de duplication, 10000 people will be paid attention to by these people. Then big data will calculate the weight of these 10000 people. If a user does not pay attention to the most repeated times, it will appear in the front row of the list, and so on.
That is to say, if Li Mu appears the most frequently (80 times) among the 10000 times that the 100 people respectively pay attention to, and a just doesn't pay attention to Li Mu, then Li Mu will rank first in the ”your friends are also paying attention” list of user a.
The algorithm itself is not published, so the rules themselves are not transparent. Li Mu can put Schwarzenegger in the column of specific users to attract users to pay attention to him.