Douyin guess what content you want to search based on?

Tik Tok Guess What You Want Search function is based on: user history search records, viewing records, likes and comments records, watch list, device information and geographical location algorithm model

Basic of Douyin’s Guess What You Want Search function

The Douyin Guess What You Want Search function is a function of the Douyin platform that makes personalized recommendations based on the user’s usage behavior and interests. . It is mainly based on the following aspects:

1. User historical search records:
Douyin will record the keywords and content that users have searched for in the past, so as to infer the user’s interest in related topics. interest.

2. Viewing records:
Douyin will track the videos and live broadcast content that users have watched, and analyze the user’s preferred themes and styles.

3. Likes and comments records:
Users’ likes and comments on videos and live broadcasts help Douyin understand users’ recognition and interest in specific content.

4. Watch list:
The accounts and topics that users follow reflect the user’s social circle and interest range, and also become an important basis for guessing what you want to search for and recommend.

5. Device information and geographical location:
Douyin will collect user device type, network connection and geographical location information to provide recommendations related to the user's area or usage habits. .

6. Algorithm model:
Douyin uses machine learning and deep learning algorithms to comprehensively analyze the above data and customize personalized guessing recommendations for each user. result.

In addition, I guess the search function will also consider the following factors:

• Time factor: Recent search and viewing behaviors have a higher weight.
• Relevance: The correlation between recommended results and user interests.
• Diversity: Avoid recommending duplicate or similar content.
• Content quality: Priority is given to recommending high-quality and popular content.

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