Out of respect for Google's star engineer, Jeff, Xi Xiaohu was willing to personally meet this star newcomer of Google Brain.

But this did not mean that he would directly hand over the core data of the advertising system to Meng Fanqi.

Xi Xiaohu believed that he had the power and the necessity to supervise whether this young man had the ability and qualifications to do this.

After all, if the algorithm was really changed, the platform AdWords that Xi Xiaohu had been responsible for would be the one to go online.

If there were any problems, he would also be held responsible.

Google's AdWords is an online advertising platform, to put it bluntly, it's Google's version of bidding ranking.

Advertisers can bid on this platform to display their services or products.

Whether it's the display of Google search, or the display of ads on related apps and videos, they can all be ordered on this platform.

The service fee is based on the number of times the ad is clicked, and payment is made accordingly. If the ad is not clicked, no fee is charged. After it was introduced to almost everyone on the mobile side, it basically became a standard for advertising.

But at the beginning of the 21st century, it was still a relatively advanced design.

Don't think that this is a conscientious move by a service provider like Google. In fact, this is also forcing advertisers to improve the quality of their ads.

For ads with low quality, only one out of a hundred people might click on it; for ads with higher quality, there might be ten clicks out of a hundred displays.

In such a situation, advertisers with poor ad quality must bid more than ten times the price for each click in order to obtain the right to place the ad.

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From this perspective, advertisers themselves will also have a great influence on the price of the service.

In terms of billing based on the number of clicks, it is generally more welcomed by advertisers than directly placing banners.

Because the number of clicks is a form of interaction between users and advertisers, it can be used to judge the user's attention and interest, and make certain targeted adjustments.

Banner ads are directly placed in various corners of the website, not only without any interactive effect, but also easily causing aversion, making it a very poor form of advertising.

In terms of user experience, Google's strategy is very cautious.

The strategy they adopt is to strictly control the overall number of placements, use bidding to force advertisers to improve the quality of their ads, and then use their big data to push customized ad content to each user.

Under Google's ad system, the average click-through rate of users is almost 2-3 times that of the second-ranked advertiser, which is quite astonishing.

According to Meng Fanqi's understanding, about sixty percent of users have not noticed that many of the links and interfaces they see are actually advertising content.

And among the remaining forty percent, nearly ten percent of them know that it is an ad and are willing to click on it.

Xi Xiaohu, who led the team to achieve such results, indeed had the qualifications to be proud.

"Meng, you are a promising young man, and your breakthroughs in computer vision are obvious to all. However, there is a big difference between the advertising recommendation algorithm and the image algorithm, especially since there is very little information available about Google's content. I wonder how much you know about it?"

"As far as I know, it is roughly divided into two categories: search and non-search. The search algorithm triggers the placement of ads on relevant pages and apps based on specific keywords, while the non-search algorithm specifies personalized recommended content based on the information already known when the user has not performed a search behavior."

Meng Fanqi was annoyed when talking about non-search ads. The algorithm keeps pushing what you've already bought. Who the hell made this crappy algorithm? Who needs it after buying it?

"Search recommendations are more important here, because they involve bidding on specific keywords. Based on my personal understanding, Google's ad placement is not solely based on bidding. It also evaluates the quality of the ad, additional information in the ad, and the user's search environment to make a comprehensive judgment."

Meng Fanqi also couldn't understand why Baidu's bidding ranking, which is such a primitive method, has been used for so many years and is still selling stickies, making itself notorious.

How much money can you make from selling stickies?

Google combines the quality of the ad content with the theme and nature of the searcher's search, the geographical location and time of the search, the device used, and other factors such as the placement of ads by other competitors.

Each search will yield customized results. If ten users with different search habits from different countries search for the same keyword or product at the same time, the ad rating given by Google to these ten search users will be different.

For advertisers, even if your competitor's bid is higher than yours, you can still win a higher ranking at a lower price by using highly relevant keywords and high-quality ad content, or by placing ads based on regional and habitual targeting.

Xi Xiaohu asked a few more routine questions, such as Google's current use of the Panda and Penguin algorithms, and Meng Fanqi answered fluently.

"The Panda algorithm mainly punishes content farms and keyword stuffing very severely, and by excluding these low-quality content pages, it has improved the quality of the search results." These two are somewhat similar and can be understood as keyword stitching monsters.

These web pages basically have no meaningful content, and their existence is not for users to see.Its sole purpose is to pull all kinds of internet buzzwords to deceive you into clicking on it, it's just a pure garbage dump.

Whether the search engine will find such inferior content has a great impact on the user experience.

In fact, this thing is quite similar to the names of small commodities that came later, each stringing together a dozen or so keywords.

"The Penguin algorithm mainly penalizes the link configuration files of web pages. If there are suspicious links of unknown origin on the website, it will greatly affect the website's rating."

Xi Xiaohu was a little excited and asked about several methods that were just put into use in 2013, such as the Hummingbird algorithm and the Pigeon algorithm. Meng Fanqi responded to each question very accurately, except for a few details that he couldn't quite remember.

"The Hummingbird algorithm enhances Google's understanding of user search text, while the Pigeon algorithm aims to improve the ranking parameters of physical distance."

The ranking parameters of physical distance, simply put, means that stores and search results that are closer to you in real life are more likely to appear on your search interface.

A very reasonable operation, people are always more likely to go to places closer to their physical location.

"Emmm." Xi Xiaohu did not get what he wanted. After a few back and forths, he found that Meng Fanqi could naturally answer these questions. He was a little suspicious in his heart. It seemed that this kid came prepared.

Could he really make some decent breakthroughs? It shouldn't be.

Xi Xiaohu had previously spent a few minutes looking at Meng Fanqi's resume.

He studied a completely unrelated major and researched a completely unrelated field.

Xi Xiaohu had seen many geniuses, but there were not many who could suddenly switch to another field and shine like this. Most of them continued to make breakthroughs in a certain field.

Could it be that some people are born with knowledge?