As a heavy user of Gate Plaza, I am overall very satisfied with its experience, especially the community updates and the related token discussion features. To help elevate Plaza to the next level, I would like to propose a few optimization suggestions:
I. Content Distribution Optimization
1. Algorithm Upgrade: Improve the timeliness and interaction weighting of the "Discover" section, optimize or merge the "Latest" section to filter out spam posts, and refine the "Hot" content. 2. Content Categorization: Add labels to dynamic content (such as market analysis, candlestick teaching, etc.), and combine with user-selected interest tags to achieve personalized content recommendations.
Tipping Function Upgrade: It could be upgraded to "Paid Reading" (e.g., unlock in-depth analysis for 1U), or the tipping incentive could be strengthened to build a virtuous cycle for content monetization.
When posting an update, if the content violates the rules, the system should provide a clear prompt to help the author quickly locate the issue.
The above improvements aim to enhance content quality, stimulate creative enthusiasm, and optimize the browsing experience. I hope the official team will consider these suggestions.
View Original
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
#我对Gate广场的建议分享
As a heavy user of Gate Plaza, I am overall very satisfied with its experience, especially the community updates and the related token discussion features. To help elevate Plaza to the next level, I would like to propose a few optimization suggestions:
I. Content Distribution Optimization
1. Algorithm Upgrade: Improve the timeliness and interaction weighting of the "Discover" section, optimize or merge the "Latest" section to filter out spam posts, and refine the "Hot" content.
2. Content Categorization: Add labels to dynamic content (such as market analysis, candlestick teaching, etc.), and combine with user-selected interest tags to achieve personalized content recommendations.
Tipping Function Upgrade: It could be upgraded to "Paid Reading" (e.g., unlock in-depth analysis for 1U), or the tipping incentive could be strengthened to build a virtuous cycle for content monetization.
When posting an update, if the content violates the rules, the system should provide a clear prompt to help the author quickly locate the issue.
The above improvements aim to enhance content quality, stimulate creative enthusiasm, and optimize the browsing experience. I hope the official team will consider these suggestions.