互联网与文化blog.kagi.com
PageRank 时代已经结束
The Age of PageRank Is Over
2022 — 2024，它一次次回到首页
黑点是上首页（≥ 50 分）的那次投稿，空心点是没冲上去的投稿，点越大分数越高。
导读
Kagi 搜索引擎的博客文章，宣称以链接权重为核心的 PageRank 时代已经终结：在 SEO 产业把链接操纵成武器之后，单纯依赖 PageRank 的排名机制已无法对抗垃圾内容，现代搜索需要新的思路。文章也借此介绍了 Kagi 付费搜索的差异化定位。
为什么经久不衰：它点破了搜索质量恶化的根源——排名信号被 SEO 对抗性利用，而付费无广告的搜索模式为解决这一问题提供了新方向，至今仍是搜索领域的重要讨论。
HN 评论精选
付费模式让用户成为服务对象而非广告商品，建立了信任感
我用 Kagi 几个月了，搜索结果从没让我抱怨过——好用到我根本'注意不到'它。真正让我兴奋的是我在付钱。这听起来奇怪，但知道为我提供搜索的公司有动力为'我'服务而不是为广告主服务，实在令人耳目一新。用 Google 时我总忍不住想每次按键都被记录下来用于向我推销，而 Kagi 不会给我这种感觉。即使他们真的在记录按键，我也能合理推断那是为了留住我的订阅，也就是让我的搜索更好，而不是向我卖别的东西。
widdershins查看英文原文
I've been using Kagi the last few months. I've never had a reason to complain about its search results - they seem to work plenty well enough day to day that I don't really 'notice' them. Like most, I now search reflexively, as an extension of the mind, so I only 'notice' search when it's bad. What really excites me is that is that I'm paying them. That sounds odd, but seriously. It's incredibly refreshing to know that the company providing my search results has an incentive to make things better for _me_ and not a legion of advertisers. With Google I can't help thinking about every keypress being logged to optimize sales pitches at me. I just don't feel that with Kagi, because I'm paying them. Sure, they might be logging every keypress (I don't actually think they are, but you never can tell) but even if they were, I could be reasonably certain they were doing it to retain my subscription, which probably means making my search better, not selling me other stuff. It's a priveleged position to be in, and the economic argument isn't watertight, but in the "search as a brain extension" space it still _feels_ premium, because it creates trust. And that frees up brain space for other things - like where the hell was that article I was looking for?
Kagi 在搜技术文档时能过滤博客垃圾，直接给出权威来源
刚注册试用了一下，很喜欢。我越来越受不了 Google 搜文档的体验：比如查 Python 的 datetime 和 timedelta 参考文档时，Google 前四条结果里塞满了 geeksforgeeks 和 freecodecamp 这类并非参考资料、只覆盖基础用例的网站；Kagi 则给出 Stack Overflow 和 Python 官方文档。总体来说，用 Google 我得往下翻很远才能越过博客垃圾找到权威来源。
aabaker99查看英文原文
I just signed up and tried it a little bit and I like what I see so far. I find myself increasingly frustrated with Google search results for a particular use case: searching for documentation. For example, today's work had me thinking about Python's datetime and timedelta and I wanted a reference on what functions are available. With Google I am annoyed with results from geeksforgeeks.org and freecodecamp.com because they are not reference materials and generally only cover some basic use cases. In Google, those two sites are in the top four results. In Kagi, they are not. Instead, there is a longer-form blog post from guru99.com, stack overflow, and the official Python documentation. Now, I will admit that for this particular query Kagi and Google results are pretty close. But my general experience is that when I search in Google I find that I have to look farther down the search results to look past the blogspam to find the authoritative reference.
问题根源在索引被 SEO 垃圾污染，而非排名算法本身
我认为这篇文章漏掉了当今搜索引擎最大的问题：根源不在排名算法（如 PageRank），而在索引。无论怎么调优排名系统，如果索引里塞满 SEO 垃圾和博客软文，从一开始就是必输之战。很多搜索引擎喜欢炫耀索引文档数量，这在现代 web 上毫无意义——更大的索引不等于更好的结果，反而更容易返回 SEO 垃圾。这也是我做 CrowdView 的动机：一个专注于论坛和讨论内容的搜索引擎，用人工精选的索引回答'真实的人怎么看这件事'。
kbyatnal查看英文原文
IMO this article misses the biggest issue with search engines today. It's less about any ranking algorithm (like PageRank), but rather the root cause is with indexing. No matter how much you fine tune your ranking system, if your index is filled with SEO junk and blogspam, you're fighting a losing battle from the start. For some reason, a lot of these search engines like to brag about the number of documents in their index, which never made sense to me. Maybe it was true in the past, but on the modern web, larger index !== better results. In fact, I'd argue the opposite since you're much more likely to serve SEO spam. That was my motivation to start hacking around on CrowdView (https://crew-rho.vercel.app), a search engine specifically for forums and discussion content (e.g. forums, discords, twitter, reddit, etc). It has a curated index (today, curated by yours truly) to remove SEO junk and help you figure out "what does a real, genuine human think about this think?"
PageRank 不抗操纵，被 Goodhart 定律注定失效
早就终结了。PageRank 从来就不是为对抗性场景设计的。这让我想起'代码行数'之类的 KPI——只有无法被操纵的指标才有用。'当一个指标成为目标，它就不再是好的指标。'（Goodhart 定律）
yarg查看英文原文
It has been for a long time. PageRank was never designed for adversarial scenarios. It reminds me of KPIs like lines of code - it's only useful if it cannot be manipulated. "When a measure becomes a target, it ceases to be a good measure." https://en.wikipedia.org/wiki/Goodhart%27s_law
历次讨论
同类还值得读
如今电脑上几乎所有操作在感知上都比 1983 年更慢（2017）
Almost everything on computers is perceptually slower than it was in 1983 (2017)
2017 年的推文串认为，尽管计算机硬件比 1983 年快得多，日常操作的感知速度却常常更慢：启动、界面响应和网络应用被层层抽象、动画、后台检查与网络依赖拖累。
互联网与文化上首页 5 次 · 2017–2020twitter.com网站肥胖危机
The Website Obesity Crisis
Maciej Cegłowski（idlewords）的经典演讲文稿《网站肥胖症危机》，批评现代网页越来越臃肿：动辄数 MB 的 JavaScript、追踪脚本和广告，把本可以轻…
互联网与文化上首页 5 次 · 2016–2021idlewords.com编辑精选亚马逊那本标价 23,698,655.93 美元的苍蝇书
Amazon’s $23,698,655.93 book about flies
博文讲的是亚马逊上一本关于果蝇的二手书被标到 23,698,655.93 美元。
互联网与文化上首页 5 次 · 2011–2022michaeleisen.org浏览器 User-Agent 字符串的历史
History of the browser user-agent string (2008)
2008 年的经典文章用戏谑的“创世纪”口吻，讲述浏览器 User-Agent 字符串如何从简单的标识演变成层层叠加的伪装：浏览器为了绕过按 UA 分发的网站检测，纷纷把自己伪装…
互联网与文化上首页 5 次 · 2012–2022webaim.org编辑精选最后的问题——艾萨克·阿西莫夫
The Last Question - Isaac Asimov
阿西莫夫最著名的短篇科幻小说《最后的问题》的在线全文。
互联网与文化上首页 5 次 · 2009–2019multivax.com编辑精选