Chapter 32 Recommendation Algorithms That Changed the World

Chapter 32 Recommendation Algorithms That Changed the World

Hearing Qu Qiongying's words, B Station boss Xu Yi's face suddenly turned pale.

Because Qu Qiongying directly pointed out one of the important reasons why their Bilibili was willing to give Lin Feng 0.5% of the shares in exchange for Lin Feng's exclusive video live broadcast rights.

In addition to considering Lin Feng's huge influence on Bilibili, they also want to prevent the situation where nearly 30% of the audience is led away again.

The more important reason is that they want to use Lin Feng, a big Internet star, to advertise for Bilibili for free and attract a steady stream of new users for free.

That is why they were willing to give up 0.5% of their shares to win over Lin Feng.

You have to know that Director Ao, who had a huge influence on the development of Bilibili and produced many excellent videos, did not get any shares.

The reason is that Director Ao is unable to bring traffic to Bilibili like Lin Feng, bring new users to Bilibili, and enable Bilibili to develop rapidly.

If Director Ao had millions of fans at that time and could bring millions or even tens of millions of new users to Bilibili at that time, Bilibili would not hesitate to use 0.5% of its shares to win over Director Ao.

"Then how many do you want?"

Xu Yi's face looked a little unhappy. After all, every extra point would mean cutting meat for himself and others.

"It's up to our boss to make the final decision on how much, but I personally think anything less than 1% is an insult to our boss."

"Minimum 1% of the shares?"

Xu Yi thought about it with some pain, considering whether to give out 1% of the shares in exchange for Lin Feng's exclusive video live broadcast rights.

But in Qu Qiongying's eyes, this expression of his had actually put his bottom line in front of Qu Qiongying.

It is no wonder that some people in his previous life said that Xu Yi was not suitable for business and was only suitable for operating Bilibili. The mere fact that he showed his joy on his face made it difficult for him to go too far in business.

While they were talking, Lin Feng was also considering whether to join Bilibili. It is true that Bilibili in its previous life was very powerful and successfully became the YouTube of Daxia.

But the past is the past, and the present is the present. Currently, Bilibili is still a weak video website.

At present, Bilibili cannot beat AcFun in terms of the number of users or the number of videos, not to mention comparing with video website apps such as Youku, Tudou, Penguin, iQiyi, and Kuaishou.

"0.7%."

After hesitating for a while, Xu Yi finally decided to increase his shares by 0.2%.

But at this moment, before Qu Qiongying could continue to speak, Lin Feng, who had been silent, suddenly spoke. He shook his head slightly and said:

"Whether it's 0.7% or even 1%, it's too small."

"Forehead?"

Everyone present was shocked to hear Lin Feng’s words. Could it be that Lin Feng wanted more?
Xu Yi, who already felt that 1% was a bit too much, suddenly looked unhappy and even wanted to leave in anger.

But Lin Feng ignored Xu Yi, who looked unhappy, and directly asked the question that made Xu Yi freeze instantly:
"Since its establishment in 2009, your Bilibili has not been profitable yet. Do you want to turn losses into profits?"

“Turning loss into profit?”

Xu Yi raised his eyebrows. He didn't expect the topic would shift from discussing Lin Feng's exclusive live video broadcast rights to how to turn B station from loss to profit. Isn't this a bit too big a leap?
"That's right, it means turning losses into profits!"

Lin Feng nodded, and then said confidently:

"As for how to make Bilibili profitable and self-sustaining, I have a complete profit development plan and a 20-year paid license for the recommendation algorithm to perfectly solve your problems. With these two things, Bilibili can turn losses into profits, and even compete with Youku, Penguin and other websites in one or two years.

Of course, if you want to obtain these, you will naturally have to pay a small price.”

Lin Feng, who is from the year 2024, is familiar with the rise and fall stories of major companies in the Internet industry.

At this time, with the sudden arrival of Bilibili, Lin Feng also discovered the place he had always neglected and realized a shortcut to success.

This shortcut to heaven is the recommendation algorithm!

In "A Brief History of Internet Information Distribution" written by a famous expert, Mr. Jin, Internet information is directly divided into four eras.

The first era was the classification index-portal era, during which the four major portals were the masters of other Internet companies.

Because portal websites control the traffic entrance of the Internet, if you want to become popular, you have to pay the portal websites honestly, so the four major portal websites are all listed.

The second era is the search engine - search era. In this era, with the development of the Internet, the amount of information began to expand infinitely, and a single Internet portal website could hardly meet users' information needs.

Under such circumstances, people were forced to learn how to use search engines, and as a result, companies such as Baidu and Google emerged. They controlled the traffic entrance of the Internet, and their market value at their peak was even more eye-catching.

The third era is the era of subscription and attention - the era of fragmentation. The characteristic of this era is that with the advent of the mobile era, each company has its own software and has formed its own small circle.

In this era, information is exclusive and closed. For example, a novel can only be read on a certain novel platform, and a TV series or movie can only be read on a certain platform. People are divided into countless information islands.

The fourth era is the recommendation algorithm - the era of precision marketing.

The characteristic of this era is the use of big data recommendation algorithms to analyze every usage behavior of customers and understand data such as users' hobbies, characteristics, preferences, recent events of concern, etc.

We strive to perfectly deliver advertisements of everything including news, videos, novels, and merchandise to users accurately.

From now on, you will find that certain categories of products, videos, novels, and news are all what you like or pay attention to, and you can keep scrolling for a long time.

Among these, the recommendation algorithm is undoubtedly the key to everything. Whoever has a stronger recommendation algorithm can retain more users.

Take the two major short video apps, Douyin and Kuaishou, as examples. Kuaishou had been developed for several years and had accumulated a huge number of users. Why was it eventually overtaken and crushed by Douyin?

The reason is that Kuaishou's recommendation algorithm tends to protect big UP hosts, which means that the strong become stronger and the weak become weaker. The cost of becoming a big UP host is very high.

However, Douyin’s recommendation algorithm is relatively cruel. In Douyin’s recommendation algorithm, all traffic is under the control of the recommendation algorithm.

Here, the millions of big UP hosts can naturally gain many advantages, but once your video performs poorly, the cruel Tik Tok algorithm will not look at you differently.

For small and medium-sized UP hosts and even individual users, as long as the quality of their videos is excellent or has a hot spot, they may become popular overnight and have tens of millions of fans at any time.

Under such circumstances, many small and medium-sized UP hosts and even individual users naturally tend to post videos on Douyin first.

As a result, there are more and more excellent videos on Douyin, coupled with the precise push of recommendation algorithms...

With good video quality and accurate push of videos that interest users, it would be strange if Douyin didn’t become popular and defeat Kuaishou.

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(End of this chapter)