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Finding anything: Real-time search with IndexTank Tim Spence April 19, 2011
About the Presenter Tim Spence Senior Infrastructure Engineer at MedHelp (  http://www.medhelp.org/  )
Former .NET developer
Recently converted to Ruby

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Google uses algorithms to determine the significance of webpages and provide relevant search results. The main Google algorithms include Panda, Penguin, Hummingbird, mobile friendly update, Possum, and Pigeon. Panda assigns quality scores to penalize low-quality content while Penguin aims to downrank manipulative links. Hummingbird helps Google better understand search queries. The mobile friendly update prioritizes mobile-optimized pages and the Pigeon update incorporates traditional SEO factors into local rankings.

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A discussion of trends in the technical SEO industry covering a wide array of topics from industry health metrics, budding technologies, standards adoption and future expectations.

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Each year, Google changes its search algorithm around 500–600 times. While most of these changes are minor, Google occasionally rolls out a "major" algorithmic update (such as Google Panda and Google Penguin) that affects search results in significant ways

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In love with Open Source Software
More at  http://whyhello.im/tim
Agenda State of search today
Quick survey: how much time/effort did YOU spend implementing search on your webapp?

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JR Oakes presented on building a toy crawler and renderer to better understand how Google and other search engines operate. He discussed key components of crawlers like prioritizing pages, handling duplicates, and respecting robots.txt. He then created a simple "toy internet" of linked pages to crawl. JR built a basic crawler in Python that applies techniques like PageRank, renders pages with Chrome Headless, and includes a search interface using Streamlit. The open source project is intended for learning and experimentation.

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This document provides information about various Google search algorithm updates including Caffeine, Panda, Penguin, Zebra, and Hummingbird. Caffeine improved search speed and accuracy. Panda targeted low-quality content farms in 2011 and exact match domains in 2012. Penguin began in 2012 and targeted techniques like hidden text, keyword stuffing, and doorway pages. Zebra focused on spammy social signals. Hummingbird, introduced in 2013, aimed to provide more precise and relevant answers to long-tail search queries. The document provides details on each update and suggestions for optimizing sites for the new algorithms.

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Are you tapping into automation for keyword research? If not, why not? When it comes to SEO, automation is awesome. For starters, it can help free up a lot of time that is normally spent on menial tasks. What’s more, it can also aid deep analysis, and even facilitate innovation. If you are still doing keyword research manually, this is a must-attend session. Paul will show you how to get started with automated keyword research, using some easy-to-use tools. You’ll see first-hand how they can help you uncover valuable insights automatically. Overall, you will walk away with an immediately actionable plan to start automating your keyword research today.

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The document discusses ways to design APIs and clients to make them more effective. It argues that traditional APIs like SPARQL place too much load on servers and are difficult to scale. A better approach is to have simple servers that provide data fragments and use hypermedia to explain the API, allowing clients to be clever in how they assemble the data. This empowers clients by distributing intelligence rather than concentrating it on servers. Hypermedia APIs allow measuring how clients perform the same tasks across different interfaces.

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Learn about the different things you can and cannot automate in SEO, saving you time and enabling more advanced work. Discover free tools, such as KNIME, and learn how to use them to begin your automation efforts. Finally, learn what an API is and how it can help you and your SEO work

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Barely How many pages of results do you typically browse through before finding what you were looking for?
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A pivitol switch in technical SEO over the next few years will see the emphasis shift from making recommendations on website performance and onto the strategy for open data. If APIs and artificial intelligence are coming across as foreign language, chances are you may be missing out on some vital sources of traffic. Geared to that very audience, search expert and Kaizen MD Pete Campbell will explain how brands and publishers can use their in-house data to secure organic visibility across a wide range of apps, platforms and devices. Pete's teachings will extend to pointers for being visible on Siri and Google's 'answers', with both being touted for a larger role in helping users find what they're after.

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The document discusses stroke, including its definition, causes, risk factors, symptoms, assessment, recovery stages, and complications. Key points include: - Stroke is defined as sudden neurological dysfunction due to abnormal cerebral circulation lasting over 24 hours. - Common causes include atherosclerosis, cerebral thrombus, embolism from the heart. - Risk factors include hypertension, diabetes, heart disease, smoking, obesity. - Symptoms can include weakness, numbness, vision issues, speech problems. - Recovery is assessed based on severity, duration, and affected brain region. Complications can include contractures, seizures, DVT.

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