Consensus Layer

The Consensus Layer is responsible for integrating the user preferences, viewing behavior, and short drama content library collected by the data layer, and then determining which short dramas should be pushed to which users, at what time, and on which platforms. It achieves short drama matching and distribution by analyzing natural language text (such as webpage content, user search keywords, etc.) and combining it with decrypted user data.

A network of miners running an open-source protocol drives the consensus layer. Under this protocol, they perform the following processes:

• Short Drama Retrieval & NLP Matching: Compare webpage text content or recent user viewing history to identify the short dramas that best match the user.

• User Background Decryption: Retrieve user audience labels from the data layer (safely decrypted via smart contracts) and further customize short drama selection based on the user's profile.

• TWS Revenue Distribution: When a short drama is successfully played to the user, the miner receives a small TWS reward as an incentive to continue distributing and validating appropriate short dramas.

Through this decentralized approach, the Consensus Layer can:

• Effectively decentralize short drama distribution

• Provide precise short drama recommendations based on natural language processing and user profiling

• Dynamically filter out the highest-quality content that is most suitable for users

For example, for the exact same page, User X and User Y, due to their different interests and viewing histories, will each see personalized short drama recommendations A or B. After each "short drama distribution" is completed, the Consensus Layer rewards miners with TWS tokens according to predefined rules and simultaneously reports the viewing results to the Data Layer.

Further Breakdown of the Consensus Layer:

• NLP Script & Open-Source Protocol

  • The "SYN Vision Natural Language Script" is used to distribute short dramas. The script matches webpage text, user keywords, and short drama tags, and uses bidding and quality ranking algorithms for distribution.

• Miner's Role in Distribution

  • Miners gain insight into user preferences through decrypted smart contract transactions.

  • They filter short dramas based on user audience statistics.

  • Execute NLP matching and ranking algorithms to embed the most relevant short dramas into the publisher’s page at appropriate spots.

• Distribution Foundations

  • Short drama distribution is based on the relevance between the short drama keywords and the publisher’s webpage text.

  • User demographics and viewing preferences help filter out content that doesn't align with the user’s interests.

  • Dynamic evaluation of past viewing/collection data is used to prioritize exposure of "high-quality content."

• Miner's Rewards & Block Records:

  • Each time a miner successfully pushes and completes the viewing of a short drama to a specific user, they receive TWS rewards.

  • These rewards are distributed to miners within a set period according to the consensus rules, incentivizing nodes to continuously run and maintain network stability.