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Source channel @githubtrending · Post #15132 · Sep 10

#scala X's Recommendation Algorithm uses machine learning to show you posts and content you are most likely to engage with across its platform, including the "For You" timeline and notifications. It gathers a large pool of posts from people you follow and others you might like, then ranks them by predicting your interest based on your past actions like likes, clicks, and replies. It also filters out unwanted content and mixes in sponsored posts to keep your feed relevant and diverse. This means your feed is personalized to show you the most interesting and safe content, improving your experience on X. https://github.com/twitter/the-algorithm

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AppPie

@AppPie · Post #2291 · 12/31/2024, 04:02 AM

#Developers Shortest: AI 驱动的自然语言测试框架 🔗GitHub Shortest 是一个基于 Playwright 的端到端测试框架,允许你用自然语言编写测试用例,由 AI 处理具体实现。 主要特点 • 自然语言测试:用日常语言描述测试场景 • AI 驱动执行:使用 Claude API 处理测试实现 • Playwright 基础:稳定可靠的测试执行 • GitHub 集成:支持双因素认证 • 邮件验证:集成 Mailosaur 开源许可证 MIT license。 #GitHub#OpenSource#Testing#AutomatedTesting#AI#Playwright 📮 频道 @AppPie​​​​​​​​​​​​​​​​