TechSEO Boost 2017: Fun with Machine Learning: How Machine Learning is Shaping Google and Technical SEO

The document is a slide presentation on using natural language processing (NLP) for search engine optimization (SEO). It discusses how NLP can be used to analyze text data for SEO purposes, including preprocessing text through tokenization, normalization, and feature extraction. It also covers vectorization techniques and basic machine learning models that can be applied to NLP tasks for SEO, as well as resources for learning more about applying NLP in SEO. The presentation aims to show how NLP can power applications to help with content creation, link analysis, and other SEO tasks.

This document discusses scaling keyword research to find content gaps. It begins by explaining how keyword research has changed from 2013 to focus more on SERP features replacing the top blue links. The presenter then outlines an agenda to map SERP features to content formats, use those to research gaps in content formats for underperforming keywords, and automate the process using Python. Code examples are provided to extract keywords from Google Search Console, get their SERP features from SEMrush, check web pages for expected content formats, and generate a report of missing formats. Resources for learning more about the techniques are also shared.

Jori Ford presented on how to take control of a website's crawl budget. She explained that crawl budget is determined by crawl rate and demand. Crawl rate depends on factors like response time and server errors, while demand is based on popularity and freshness. She recommended quantifying a site's current crawl budget by analyzing log files to see what pages are crawled and how often. Then pages can be optimized by improving response time and removing errors. Non-essential pages should be pruned to conserve budget, while important pages can be better linked and updated to increase demand. Overall the key is understanding how Google allocates crawl resources and managing page quality and relevance accordingly.

1. Audience segmentation using unsupervised machine learning can analyze individual user sessions from analytics tools like Google Analytics to automatically group users into behavior segments. 2. The key steps involve extracting session data, processing it, selecting important features, clustering the data using algorithms like k-means, and manually exploring the resulting segments. 3. These segments can provide insights for hypotheses to test in conversion rate optimization experiments and personalizing the user experience.

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.

Michael King of iPullRank discusses Information Retrieval, Natural Language Processing and Text Analysis and how to leverage it to improve Search Engine Optimization.

Ranking well is just the beginning of successfully marketing businesses via local search. You then need to attract and engage prospects in order to turn them into customers and to satisfy RankBrain's influence on the algorithms. Mary will show you tactics that will help you to improve your local search experience optimization to attract new leads.

Presented at Pubcon - Las Vegas on Tuesday, November 7th, 2017, for the panel Actionable SEO: Low-Hanging Fruit, this deck discusses the importance of competitive intelligence for keywords and links for finding opportunities that you may have missed.

This document provides guidance on how to successfully conduct a website migration without negatively impacting traffic, rankings, and revenue. It emphasizes the importance of pre-migration planning, actions, and post-migration checks. Key steps include defining responsibilities and resources, creating a project plan and checklist, setting up redirects, internal link updates, and benchmarking rankings. Post-migration, the document recommends checking robots.txt, redirects, log files, and conducting various tests through Google Search Console to identify any issues.

Interested in learning about Natural Language Processing (NLP)? Are you using NLP for your SEO already and want to step it up a level? Join this session to get a crash course in NLP. From stemming and lemmatization to word embeddings and its applications for SEO. Paul Shapiro will break down NLP to explain how NLP technology uses machine learning to decipher and analyze our human languages in a way that is highly valuable for marketers and SEOs. Paul will also share specific examples using the Python programming language along the way so you can either start using NLP right away for SEO or find new and more effective ways to use NLP.

SEO has always sat at the intersection between being a science and an art. We all love to try out new ideas and try to understand what makes the search engines tick, but it can be frustrating to have to cut through the guesswork and speculation just to figure out what Google really wants from us. Even worse, we still find ourselves making SEO changes, seeing uplifts, but then not knowing which changes actually had any impact. Fortunately, new software and better technologies now make it possible to run proper SEO-focused tests and, for the first time, actually measure the impact that each SEO change has on our site. Rob will share these techniques, discuss some of the experiments that Distilled has been running, reveal the unexpected things they’ve learned along the way, and share how you can start running experiments yourself.

Max Prin discussed technical SEO tactics for the mobile landscape. He emphasized that mobile searches now surpass desktop searches, so websites need to be mobile-friendly and fast loading for mobile users. He recommended responsive design, AMP pages, and progressive web apps to provide optimized experiences for users on all devices. Ensuring content parity between mobile and desktop versions is also important. Structured data and metadata can enhance search engine results and voice search results.

Are you sending mixed messages to Google? There are many different signals that feed into URL selection for search engines, and when these signals aren’t implemented correctly search engines have to make their own assumptions about your website and what’s important. In this talk, Rachel will share examples where a website’s signals can be ignored or overruled, as well as how to test your site setup. Don’t leave anything to chance – be sure that the most important areas of your site are getting the attention the attention they deserve.

This document discusses various techniques for improving JavaScript rendering for SEO purposes, including: - Using automated tests to prevent JavaScript-related SEO errors before deployment. Unit and end-to-end tests can check for issues like missing tags. - Choosing an appropriate rendering technique depending on how often content changes, whether it be pre-rendering, server-side rendering, or dynamic rendering. - Leveraging universal JavaScript to avoid accidental cloaking issues and ensure consistency between what users and search engines see. Workarounds are discussed when universal JavaScript is not practical.

Managing Director of iPullRank, Mike King, talks about how to leverage automated testing to ensure that developers engaged in Continuous Integration don't end up accidentally breaking the optimizations in place for SEO

Matthew Brown discusses semantic search engine optimization techniques. He defines semantic SEO as using semantic web technologies to send detailed page content meanings to search engines in a way computers can process. Brown recommends starting with Schema.org and Open Graph vocabularies and provides links to resources on structured data types, markup troubleshooting, and semantic web statistics. He also lists people involved in both SEO and semantic web fields.

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

Mike King examines the state of the SEO industry and talks through knowing information retrieval will help improve our understanding of Google. This talk debuted at MozCon

This is about chat gpt and generative ai. How it is fine tuning the search based on prompt provided by user every time, and how search actually work

The document provides an overview of search engine optimization (SEO) basics. It discusses key on-page optimization techniques like keyword research, meta tags, image optimization and heading tags. It also covers off-page optimization including link building, social bookmarking and directory submissions. The document is presented as a tutorial by DLK Technologies on SEO strategies and includes questions for clarification.

Vincent Terrasi presented on building a machine learning model to predict webpage rankings in search engine results pages (SERPs) with 92% reliability. The model analyzed data from SEMrush, Majestic, ScreamingFrog, OnCrawl, and Visiblis to identify the most important ranking factors for specific topics without human intervention. OVH was then able to instantly check if new webpages would rank first in Google or compare pages' predicted positions. Dan Taylor discussed utilizing Cloudflare Workers to implement technical SEO elements like Hreflang, redirects, and meta robots tags through serverless functions. Testing showed these could be deployed at scale with minimal DevOps while being detected by Google. However, workers

This document contains the slides from a TechSEO Boost conference research competition. There were three finalists who presented on topics related to technical SEO research they had conducted: Eric Enge presented on how Google search features impact click-through rates, Tomek Rudzki discussed taking JavaScript SEO to the next level by addressing issues with indexing JavaScript content, and Vincent Terrasi presented on generating qualitative content in multiple languages. Tomek Rudzki was selected as the grand prize winner for his research on JavaScript indexing challenges.

This document discusses various rendering strategies and their impact on Core Web Vitals metrics. It begins by defining the Core Web Vitals metrics - Largest Contentful Paint, First Input Delay, and Cumulative Layout Shift. It then examines different rendering strategies like client-side rendering, server-side rendering, static rendering, and rehydration. For each strategy, it outlines potential issues that could lead to poor Core Web Vitals and provides mitigation tactics to address those issues. The goal is to help understand how rendering strategies affect page speed and provide ways to optimize for Core Web Vitals.

Exploring how you can harness the huge amounts of data available to build an effective, empirically-led SEO strategy using machine learning resource such as natural language processing (NLP). Including useful and practical tips on areas such as topic modelling, categorisation and clustering, so you can get started on using NLP in your own SEO strategy right away.

In the year of 2010, in Independent India, a vision was born, which would eventually stand out as a brand name synonymous with innovation and integrity. Building on its varied expertise and domain knowledge, DLK offers clients a wide range SEO, SEM, IT, Software and BPO services. These services enable business to "Do Business Better". we have developed perspectives quite different from most SEO services in the INDIA. We offer: 1. Real SEO strategies that seamlessly blend in with your marketing plan; your vision comes first, we build our SEO strategies around that 2. SEO services that go beyond simple search engine optimization and SEM, and support other sectors of your marketing efforts with the tools at our disposal

The document is from DLK Technologies and provides an overview of search engine optimization (SEO) basics. It discusses key on-page SEO elements like meta titles, keywords, descriptions and heading tags. It also covers off-page optimization techniques such as link building, social bookmarking and article submission. The goal of the SEO tutorial is to explain the necessary information around search engine optimization and how it can help get traffic from search engines.

This document provides an overview of natural language processing techniques for gathering and analyzing text data, including web scraping, topic modeling, and clustering. It discusses gathering text data through APIs or web scraping using tools like Beautiful Soup. It also covers representing text numerically using bag-of-words and TF-IDF, visualizing documents in multi-dimensional spaces based on word frequencies, and using k-means clustering to group similar documents together based on cosine or Euclidean distances between their vectors. The document uses examples of Netflix movie descriptions to illustrate these NLP techniques.

Presentation slides for the Birst webinar, "Build vs. Buy - Making the Right Choice for a Great Data Product"

The document summarizes a DSC MAIT Demo Day event focused on showcasing projects completed by core team members, including some with a Halloween theme. Five projects are described: [1] A fortune telling AI chatbot trained on Reddit and news data; [2] An AI-generated horror plot generator trained on movie plots; [3] A horror movie recommendation system; [4] A JavaScript chess engine; and [5] An Android/iOS app integrating machine learning models. The document provides technical overviews and lists collaborators for each project. It also announces the launch of the new DSC MAIT website.

And end-to-end introduction to building meaningful strategies for organic search. This course addresses: What is an organic search strategy? What you need to know and do before starting a project with a client? The research process Organizing and prioritizing action items Building, editing, and presenting presentation Along with general tips and tricks This class is targeted to SEO practitioners with 3-6 year of experience (particularly management to director levels). However, anyone can glean insights from this class, as it will be focused on building general critical, strategic thinking for the organic search channel. Materials Needed: Internet connection / Google search A Creative mind Whiteboard One of the following would help with keyword analysis: SEMrush/aHref/Moz/getStat/etc. Site crawlers: Screaming Frog/Sitebulb/DeepCrawl/OnCrawl/aHref/etc.

Advancements to Machine Learning are changing the game for busy marketers, with automation possibilities from personalised messaging and content creation to social listening and predictive analysis available.

The document discusses the similarities between making cheesecake and building software applications. It notes that both processes require trusting where ingredients/libraries come from and having transparency in the overall process. This includes knowing the ingredients/libraries, who uses them, and where they are stored. The document advocates integrating security practices like DevSecOps earlier in the development lifecycle to help build more secure applications faster.

This document provides an overview of artificial intelligence trends and applications in development and operations. It discusses how AI is being used for rapid prototyping, intelligent programming assistants, automatic error handling and code refactoring, and strategic decision making. Examples are given of AI tools from Microsoft, Facebook, and Codota. The document also discusses challenges like interpretability of neural networks and outlines a vision of "Software 2.0" where programs are generated automatically to satisfy goals. It emphasizes that AI will transform software development over the next 10 years.