# search engine Published articles for search engine. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Effect of Lucene Segments on Elasticsearch DevFeed: [Effect of Lucene Segments on Elasticsearch]() Original publisher: [Read original article]() Published: 2026-01-09T00:00:00Z Content type: tutorial Language: en Sources: [Gaurav Sarma's Blog]() Topics: [elasticsearch](), [data](), [Databases]() Tags: [data](), [elasticsearch](), [performance](), [search-engine]() ### AI overview This deep dive explains how Elasticsearch relates to Lucene and how Lucene segments organize and represent data. It covers shards, inverted indexes, doc values, BKD trees, immutable segments, document updates, deletions, background segment merging, and reference counters used to keep searches consistent. ### Source excerpt . [How Lucene Segments Affect Elasticsearch](how-lucene-segments-affect-elasticsearch-cover... ## A critique of Google search ads and SEO-focused results for remote-work queries DevFeed: [A critique of Google search ads and SEO-focused results for remote-work queries]() Original publisher: [Read original article]() Author: Michael Dubakov Published: 2022-11-25T15:06:35Z Content type: opinion Language: en Sources: [Stories by Michael Dubakov on Medium]() Topics: [Search engine optimization (SEO)](), [Google]() Tags: [ads](), [advertising](), [google](), [marketing](), [rant](), [search-engine](), [seo](), [spam]() ### AI overview The author criticizes Google search results for a remote-work query, describing prominent ads and generic SEO-focused articles that they found lacking in practical information. They report finding more useful resources through Hacker News and express frustration with the search experience. ### Source excerpt I used to love Google. Now I don't. I used to enjoy search for new information and explore some new topic in Google. Now I don't. I'm on the verge of switching to another search engine. Yesterday I dug into remote work. I searched for various info, primarily I wanted to find exact remote companies practices from real practitioners. This is a typical screen in Google for any relatively generic search request. Screen 1. Ads On the first screen I see only ads and some glimpse of hope in the footer. I have to scroll down. Screen 2. SEO-optimized bullshit No hope. All these articles are not good enough. All are generic, and I have a feeling most of them were written by people with zero experience in remote work. I got very little interesting info from them. I have to scroll down. Screen 3. More SEO-optimized crap More SEO-optimized articles, maybe HBR was relatively OK. I have to scroll down. Screen 4. More Ads Final screen has more ads. Is it me? Maybe in some poor country with GDP < 1K per person I will see less ads? Not sure there is VPN for South Sudan... Next page... It appeared to be very hard to find good resources about remote work. Google is filled with generic, non-concrete, SEO-oriented bullshit. I had to dig this piece of crap for an hour to find some rare gems. Most gems I found on HN. My rant is over. Hug me, please. P.S. HN discussion thread ## Unlocalize Google Chrome Omnibar DevFeed: [Unlocalize Google Chrome Omnibar]() Original publisher: [Read original article]() Author: hi@meedamian.com (Damian Mee) Published: 2016-01-05T00:00:00Z Content type: tutorial Language: en Sources: [Damian Mee | Blog | Portfolio | About]() Topics: [Google Chrome](), [Google](), [Virtual Private Network]() Tags: [change](), [chrome](), [copy](), [domain](), [google](), [google-chrome](), [search](), [search-engine](), [settings](), [vpn]() ### AI overview A tutorial explains how to change Chrome's Google search-engine settings to prevent Google from redirecting users who travel frequently or use a VPN to a local domain they do not want. ### Source excerpt If you travel a lot or use a VPN, then at some point, Google might start to, wrongfully, think that you'd rather use some outdated local domain. Steps to fix it: Go to chrome://settings/searchEngines (copy-paste it into your address bar) In the Default search settings section find "Google" Rename Google to ex. Google (Annoying) in the 1st field Change google.com to ex. Google.annoying in the 2nd field Copy URL¹ from the 3rd field Scroll to the bottom of the Other search engines section Add a new search engine: Put Google into the 1st field Put google. ## Rethinking full text search DevFeed: [Rethinking full text search]() Original publisher: [Read original article]() Author: Marek Published: 2012-07-01T22:00:00Z Content type: opinion Language: en Sources: [Marek Majkowski]() Topics: [Databases](), [scaling](), [NoSQL](), [data](), [coding]() Tags: [full-text-search](), [key-value-store](), [nosql](), [performance](), [real-time](), [scaling](), [search-engine]() ### AI overview The article explores the design of a full-text search engine for Twitter-like workloads, focusing on real-time index updates, horizontal scalability, and simple architecture. It reports experiments using a distributed key-value store and finds that the storage layer, rather than the Python indexer, became the main performance bottleneck as the dataset grew beyond available memory. ### Source excerpt Rethinking full text search In January 2009 I was wondering whether it is possible to build a full-text search engine that could handle the search for Twitter. At that time the search tool they provided was barely working. Later Twitter acquired Summize to solve this problem. A search engine for Twitter presents a unique set of constraints. Traditional full-text search engines assume that index once created won't be changed, updating is expensive by design. ## Google's Page Rank--The Final Product DevFeed: [Google's Page Rank--The Final Product]() Original publisher: [Read original article]() Published: 2011-06-20T22:07:41Z Content type: tutorial Language: en Sources: [Jeremy Kun]() Topics: [Google](), [Matrix](), [math](), [Web]() Tags: [computational-complexity](), [eigenvalues](), [eigenvectors](), [google](), [mathematics](), [matrix](), [page-rank](), [probability-theory](), [programming](), [pseudocode](), [ranking](), [search-engine](), [web]() ### AI overview This article explains how PageRank addresses dangling nodes and non-unique rankings. It introduces positive column-stochastic matrices and the Perron-Frobenius Theorem, then uses random web surfing as a probability-based intuition for webpage importance. ### Source excerpt Dangling Nodes and Non-Uniqueness Recall where we left off last time. Given a web $ W$ with no dangling nodes, the link matrix for $ W$ has 1 as an eigenvalue, and if the corresponding eigenspace has dimension 1, then any associated eigenvector gives a ranking of the pages in $ W$ which is consistent with our goals. The first problem is that if there is a dangling node, our link matrix has a column of all zeros, and is no longer column-stochastic. ## Google's PageRank--A First Attempt DevFeed: [Google's PageRank--A First Attempt]() Original publisher: [Read original article]() Published: 2011-06-18T18:05:20Z Content type: article Language: en Sources: [Jeremy Kun]() Topics: [Graphs](), [graph theory](), [Web](), [Algorithm](), [Internet](), [structure]() Tags: [algorithm](), [analysis](), [eigenvalues](), [eigenvectors](), [google](), [graph](), [graph-theory](), [internet](), [mathematics](), [page-rank](), [ranking](), [search-engine](), [structure](), [vertex](), [web]() ### AI overview This post models the Web as a directed graph and introduces PageRank-style importance scoring for web pages. It first considers ranking pages by incoming-link counts, then explains why treating every link as equally valuable is inadequate and motivates weighting links by the importance of the linking page. ### Source excerpt The Web as a Graph The goal of this post is to assign an "importance score" $ x_i \in [0,1]$ to each of a set of web pages indexed $ v_i$ in a way that consistently captures our idea of which websites are likely to be important. But before we can extract information from the structure of the internet, we need to have a mathematical description of that structure. Enter graph theory. ## Google's PageRank--Introduction DevFeed: [Google's PageRank--Introduction]() Original publisher: [Read original article]() Published: 2011-06-12T21:09:29Z Content type: tutorial Language: en Sources: [Jeremy Kun]() Topics: [Google](), [Internet](), [Algorithm](), [Web]() Tags: [algorithm](), [crawler](), [google](), [history](), [indexer](), [page-rank](), [query-engine](), [ranking](), [retrieval](), [search-engine](), [sorting]() ### AI overview An introduction to Google's PageRank and the broader process search engines use to select and order information. The article describes crawlers, indexers, ranking algorithms, and query engines, and frames ranking in terms of popularity and authority rather than relevance alone. ### Source excerpt Importance on the Web As a society living in the "Information Age," it comes as no surprise that we are faced with the task of sorting through vast oceans of content. With the admission that most content is actually junk, we must wisely choose the objects of our analysis. The appropriately named site UselessJunk.com certainly doesn't deserve the same attention as the BBC World News page, and yet within the monstrous heart of the internet, it requires the maturity of the human psyche to discriminate their relative worth. ## Bootstrapped/Startup Marketing Part 1 DevFeed: [Bootstrapped/Startup Marketing Part 1]() Original publisher: [Read original article]() Author: Map Published: 2011-02-15T03:55:56Z Content type: tutorial Language: en Sources: [Craig Kerstiens]() Topics: [Search engine optimization (SEO)](), [XML](), [HTML](), [Web Development]() Tags: [google](), [html](), [marketing](), [markup](), [search-engine](), [seo](), [startup](), [startups](), [xml]() ### AI overview The first article in a four-part startup marketing series explains how startups can attract free search traffic through SEO. It covers sitemaps, unique meta tags, title tags, semantic HTML headings, appropriate table use, and manual submission to search engines. ### Source excerpt This is the first of a 4 part series on marketing for startups/bootstrapped companies. Much of the learnings from this are a result of experiences with Registry Stop. The key to each of these is going to be measuring and reacting to your efforts. If you need help on this, check out previous post around metrics for startups. So without further adieu, on this initial post of the series we're going to talk a bit about the biggest free way to get traction and traffic for your startup. The best way to aquire free traffic to your site, is to ensure your site is optimized for search engines or more commonly SEO. Sure you can pay $3 for your ad to show up on certain keywords, but why spend the $3 per click if you can simply ensure you're the first search result. There are slightly different methods for this for each search engine, but we'll cover a broad set of items to pay attention to. Sitemap Most sites have a sitemap.xml at their root level. This could perhaps be one of the biggest pieces of getting indexed that you can pay attention to. This xml tells search engines what pages they should index, how frequently they are updated, and the priority of the page. If you have dynamic pages, you should have this sitemap.xml generated so that it captures all pages. If you need a little more reading on creating your sitemap take a look at: http://www.google.com/support/webmasters/bin/answer.py?answer=183668 Meta Tags Many search engines pay little attention to these tags, but that doesn't mean that all don't. You do want these tags to be as unique as possible per page and relate as much as possible to the content. The really key meta tags you want to have would be your description and your keywords. For a little more information you can check out: http://searchenginewatch.com/2167931 Other Tags While meta tags make pretty straight forward sense, other tags are immensly powerful in how a search engine indexes your site. The first is the title tag, you absolutely want it in and wa