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科技回声

基于 Next.js 构建的科技新闻平台,提供全球科技新闻和讨论内容。

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How we scaled to generate personalities for 200 million people

29 点作者 enoex1将近 11 年前

6 条评论

tulpa将近 11 年前
Nice notes about managing cache invalidation! Interested in seeing where you guys go with your product.
seanalair将近 11 年前
Very interesting. I like the idea of putting everything on one server so you can just spin more up.
tannerc将近 11 年前
Nice insights from a technical standpoint, though I'm more interested in the machine learning aspect. Was it dictionary based? How does the system account for sarcasm or the billion+ meme/BuzzFeed posts?
评论 #7984868 未加载
poezn将近 11 年前
Posts like this is what I like about Hacker News! It would be great if there were other examples like this where organizations share their setup for real-world projects and presences.
applecart将近 11 年前
Great post - nice layout of the process used. Thanks for the in-depth look at what you did to make it work on such a large scale.
popwarsweet将近 11 年前
Will you be posting any statistics on users personalities? (Anonymous of course)<p>P.s. Your name is hazardous bra