How to change Douyin recommendations to the initial state? What is the impact of the recommendation becoming the initial state?

Question: How to restore Douyin recommendations to their initial state? If you find that the content recommended by Douyin is no longer accurate, you may need to reset the recommendation algorithm to its initial state. PHP editor Xinyi will introduce in detail how to reset Douyin recommendations to help you regain personalized short video recommendations. The following article will guide you step by step through the reset process, allowing you to easily restore the accuracy of Douyin’s recommendations.

1. How do Douyin recommendations change to the initial state?

Douyin’s recommendation algorithm is mainly optimized based on users’ behavioral data, including viewing time, likes, comments, shares, etc. When these data change significantly, the recommendation algorithm may think that the user's interests have changed and therefore adjust the recommended content. The following situations may cause Douyin recommendations to change to the initial state: users have been inactive for a long time, are not interested in new content, or have changed their viewing habits, etc.

New user registration: For new users, the recommendation system will recommend popular and popular videos by default to help users quickly understand the content of the platform. As the user's usage time increases, the recommendation system will gradually adjust the recommended content based on the user's behavioral data.

2. Not used for a long time: If a user has not used Douyin for a long time, the recommendation system may think that the user's interests have changed and reinitialize recommendations. In order to avoid this situation, Douyin will push some popular and popular videos to guide users to become active again after they have not used it for a long time.

3. Clear the cache or data: After the user clears the Douyin cache or data, the recommendation system may reinitialize recommendations. This is because after clearing the data, the user's behavioral data disappears, and the recommendation system cannot make accurate recommendations based on this data.

4. Changing mobile phones or accounts: When the user changes mobile phones or accounts, the recommendation system will reinitialize recommendations. This is because the behavior data of new devices or new accounts is empty, and the recommendation system needs to re-collect and analyze this data.

2. What is the impact of Douyin recommendations becoming the initial state?

Douyin recommendation becomes the initial state, which has a certain impact on user experience and content creators:

1. User experience: For users, the initialization of recommended content The following situations may result:

- Recommended content no longer meets interests: After recommendation initialization, users may find that recommended content becomes less attractive and need a period of time to wait for the recommendation system to readjust to their interests.

- Increased duplicate content: After recommendation initialization, users may find that there are many duplicate videos in the recommended content. This is because the recommendation system needs to re-collect and analyze user behavior data.

2. Impact on content creators: For content creators, recommendation initialization may have the following impacts:

- Traffic fluctuations: During recommendation initialization, content creators’ short videos may You will face traffic fluctuations, and the views of some videos may drop.

- Competition intensifies: After recommendations are initialized, content creators need to compete for users’ attention again, and competition intensifies.

The change of Douyin recommendation to the initial state is an adjustment made by the recommendation algorithm to adapt to changes in user interests. For users, this may mean it takes some time to adapt to new recommended content; for content creators, this may lead to traffic fluctuations and increased competition.

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