Tell me the full story of tungkung langit and alunsina.The story of Tungkung Langit and Alunsina is a Philippine myth. Tungkung Langit was the god of the sky and Alunsina was the goddess of the sea. They were once husband and wife. However, Alunsina became jealous and suspicious. This led to a rift in their relationship. Eventually, Tungkung Langit drove Alunsina away. After her departure, Tungkung Langit was left alone in the sky, and he created the world as we know it today from his loneliness and longing for his lost love.
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2024-11-04 19:25
How to push traffic to the streamer in the live broadcast roomThe traffic push of TikTok's live broadcast room was affected by many factors, including the following:
1. ** In terms of algorithm logic **:
- The algorithm system would evaluate the match based on factors such as the content of the live broadcast room, the host, the user's interest points, and the viewing history to provide the live broadcast content that met the user's needs. For example, after analyzing the user's profile (including interests, behavior, geographical location, and other dimensions), it would recommend live broadcast rooms that might be of interest.
2. ** User Portrait **:
- The platform built user portraits based on user viewing history, likes, comments, sharing, and other behavior data to understand user interests, preferences, and viewing habits, so as to recommend live broadcast rooms on the same track. For example, users who frequently watched beauty content would be recommended to more beauty livestreams.
3. ** Livestream features **:
- The platform would analyze the live content, streamer style, tags, and other characteristics of each live broadcast room, and then recommend the live broadcast room to users who might be interested. For example, a live broadcast room that focused on the field of mothers and babies would be recommended to users interested in mothers and babies.
4. ** Interactions **:
- The audience's comments, likes, gifts, and other interactions affected the traffic push. A live streaming room with positive interactions was considered to have higher appeal and value, and would receive more traffic. At the same time, the length of the audience's stay was also an important indicator of the quality of the live broadcast room. A longer stay indicated the audience's approval of the content.
5. ** Assessment indicators **:
- The number of viewers, interactions (comments, likes, etc.), content quality, and the popularity of the streamer all constituted the comprehensive rating of the live broadcast room. The live broadcast room with a high rating would have more traffic support.
6. ** Real-time data adjustment **:
- The platform was more inclined to allocate traffic based on the data assessment effect in the past five minutes or less. Therefore, the live broadcast room had to maintain high-quality content and a good interaction atmosphere.
In addition, there were various sources of traffic in TikTok's live broadcast room. The main sources included platform recommendations, attention pages, search pages, topic pages, etc., of which platform recommendations accounted for the vast majority of traffic. The platform analyzed the tags, attributes, and keywords of the live broadcast room to recommend it to users who might be interested. About half an hour after the livestream started, the system would push the initial traffic to the livestream room. If the initial traffic was stable and the feedback was good, the system would continue to push the stream. During different periods of time, user activity and viewing habits would be different, and the platform would recommend different types of live broadcast rooms accordingly.
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