Whether it's Web3 or Web2, the core revolves around the traffic economy. Mastering traffic means having a dominant position in the market. Against this backdrop, traffic distribution has become a thought-provoking topic. The InfoFi sector, represented by Kaito, provides a highly promising application scenario for Web3.

When it comes to traffic, we have to mention the eye-catching platform Douyin. Recently, Douyin unveiled its core algorithm mechanism, which not only reveals how its recommendation system operates but also clarifies content evaluation standards, platform value orientation, and content governance rules. By analyzing this information, we can explore how to achieve sustainable profits in the Web3 environment, particularly on social platforms within the Kaito ecosystem.

The core content publicly disclosed by Douyin mainly includes the working principle of the recommendation system, which is collaborative filtering. The essence of this mechanism is that, in the face of the massive amount of content generated daily, the recommendation algorithm helps users effectively filter information through "collaborative filtering." This algorithm no longer relies solely on content tags but operates based on the principle of "birds of a feather flock together."

Specifically, the system looks for other users whose interests and behavioral patterns are similar to those of the user. When these similar users interact with a particular piece of content, the algorithm predicts that the current user may also be interested in that content, thus making recommendations. The core value of this approach lies in the algorithm's ability to proactively help creators' content find an audience that matches their interests.

This algorithmic mechanism provides important insights for the Web3 space, especially for the Kaito ecosystem. In a decentralized environment, how to achieve efficient and precise content distribution will become a key challenge. Web3 platforms can draw on the ideas of collaborative filtering, combined with the characteristics of blockchain technology, to develop a more transparent, fair, and user-controllable recommendation system.

In addition, content creators in the Web3 environment should pay more attention to content quality and user interaction, as these factors will directly affect the reach of the content. At the same time, user engagement and feedback will also play a more important role in the decentralized ecosystem, potentially becoming key factors in determining the value and circulation of content.

Overall, the distribution of traffic in the Web3 era will no longer rely entirely on centralized algorithms, but will instead depend more on community consensus and user autonomy. How platforms like Kaito can provide personalized content recommendations while protecting user privacy will be an important direction for future development. By deeply understanding and innovatively applying these concepts, the Web3 ecosystem is expected to create a more equitable, transparent, and efficient content distribution model.