Director Ao Goes All Out (Third Update)

The next day, while Lin Feng was quietly developing the recommendation algorithm and waiting for the Great Xia Armaments Industry and overseas military companies to come to him for negotiations.

It was just noon the next day when many UP hosts on Bilibili, unhappy with and jealous of Lin Feng, began to strike. Leading the charge was the famous Director Ao.

Speaking of Director Ao, he was truly an old-timer on Bilibili. Although his core video website was Youku, as Youku had more users.

He had always kept an eye on Bilibili and would also upload his videos there. It could be said that his contribution to Bilibili was immense.

In his past life, when Bilibili netizens evaluated the five UP hosts who made significant contributions to Bilibili's development, Director Ao was one of them, which shows the magnitude of his contribution to Bilibili.

Returning to Director Ao, he had previously seen a new UP主 gain 400,000 followers in just one day, faster than his own rise to fame. This made him very jealous.

However, as a well-known public figure, he couldn't speak out when others were posting videos mocking Lin Feng or criticizing him.

Now, seeing Lin Feng developing better and better, even about to acquire 30% of Bilibili's shares through a gambling agreement and the recommendation algorithm, Director Ao felt increasingly unbalanced.

Comparing oneself to others is infuriating. I have more seniority than you; why is your rise so fast, gaining so much attention and followers?

Driven by this jealousy and unwillingness, Director Ao stayed up late that night gathering various materials on recommendation algorithms. The more he collected, the wider his smile grew.

After more than half a night and a morning of effort, a meticulously produced video was officially released on video websites and apps such as Youku, Tudou, Tencent Video, AcFun, and Bilibili.

"Hello everyone, I'm Director Ao, we meet again.

Speaking of which, many things have happened on Bilibili in the past few days. First, the website and app were revamped, introducing graphical advertisements, and finally, the live streaming platform was launched...

What surprised Director Ao the most was that Lin Feng actually signed a gambling agreement with Bilibili shareholders. Director Ao also watched last night's live stream regarding this matter.

During the stream, Director Ao noticed Lin Feng claiming his recommendation algorithm was worth 20% of Bilibili's shares. He thought everyone must be very curious about this.

So, after staying up all night collecting information and organizing it the next morning, Director Ao has, as expected, produced this video."

As the video reached this point, Bilibili was flooded with bullet comments like 'Director Ao worked hard,' 'Director Ao is too dedicated,' and 'Director Ao, take care of your health.'

It was clear that Director Ao had many fans on Bilibili. Those fans loved his videos and cared for him deeply.

"Alright, let's get to the main topic.

This video will mainly introduce the recommendation algorithm and then analyze whether Lin Feng's claimed recommendation algorithm is truly worth 20% of Bilibili's shares."

Hearing this, Director Ao's fans became increasingly excited. They were extremely curious about the mysterious recommendation algorithm.

Meanwhile, Director Ao in the video continued to explain the recommendation algorithm:

"First, the recommendation algorithm originated in 1992 at the Palo Alto Research Center, where they developed a system based on collaborative filtering algorithms for spam filtering.

Subsequently, in 1994, the University of Massachusetts and the University of Nice, based on collaborative filtering algorithms, launched a recommendation system for news, which could recommend news based on users' ratings.

However, the recommendation algorithm was truly applied to the internet in 2003 by e-commerce platforms, which used collaborative filtering algorithms to recommend similar products.

Then, in 2006, Douban and Netflix in the American Empire introduced matrix factorization, which changed the world. Both users and products were assigned corresponding latent vectors, exhibiting strong generalization capabilities.

From then on, e-commerce recommendations became more targeted, and the purchase probability of successfully recommended products greatly increased.

Finally, in 2010, the FM model (Factorization Machines) proposed by Osaka University in Japan, a machine learning model, marked the formal entry of recommendation algorithms into the era of machine learning.

It is particularly suitable for addressing feature interaction problems in sparse datasets, leading to more precise and efficient recommendations of products and advertisements. After 2012 last year, with two years of development, it officially dominated the field of recommendation systems.

It is worth mentioning that with the introduction of AlexNet convolutional neural networks last year, many people also set their sights on neural networks.

They wanted to rely on neural networks to develop new recommendation algorithm models and explore new technological development paths.

However, let's not even discuss neural network-based recommendation algorithm models for now. This is a completely new technological path, and no finished product has been released yet.

Even with the already quite proficient FM model, it can already achieve the effect of delivering videos that users might be interested in directly to consumers, as Lin Feng claimed.

Therefore, the recommendation algorithm is not some magical thing. It has existed for over twenty years and has developed into a mature technology.

Based on this, I speculate that Lin Feng likely developed Bilibili's recommendation system based on the FM model to achieve the goal of recommending videos.

This kind of technology is not particularly exaggerated. To be honest, there are hundreds, if not thousands, of people in China who can research such recommendation system technology, and even more overseas.

Lin Feng claiming his recommendation algorithm is worth 20% of Bilibili's shares, I think it's a bit too confident. Sometimes confidence is a good thing, but excessive confidence is arrogance.

Of course, we can understand Lin Feng's confidence, as he mentioned last night that his algorithm research hasn't officially begun.

It's like how we all said in school that we would definitely earn 100,000 annually and buy a car and a house, only to realize after entering society how naive we were.

Since Lin Feng's algorithm hasn't been officially researched yet, it's normal for him not to understand the nature of algorithms. We should understand Lin Feng."

Director Ao continuously spoke well of Lin Feng, without using any offensive language in his entire speech. However, to the video's viewers, it was clear that Director Ao was subtly mocking Lin Feng for being too arrogant.

This naturally led to a polarization in the video's bullet comments and comment section, as both sides had substantial fan bases.

Lin Feng had gained fame through his inventions like the Handwriting Robot and the Coin-style Electromagnetic Rifle, as well as two meticulously produced documentaries and "I Love Invention," successfully garnering millions of followers.

Although Director Ao's experiences in recent years were not as spectacular as Lin Feng's, he had accumulated millions of followers during the several years he had been producing videos since 2009.

The number of followers for both sides was not significantly different, but in terms of loyal fans, Director Ao's side actually had more. After all, after hundreds of videos, people had long become loyal fans of Director Ao.

As a result, Lin Feng's fans were quickly defeated, completely unable to contend with Director Ao's fans. After all, how could one person's voice compete with several?

Having received the second round of recommendation notifications this afternoon, the author, overjoyed, decided to add an extra update to thank everyone for their support.

Also, please vote with recommendation tickets and monthly tickets.