Google Machine Learning Algorithms and SEO

A deep dive into resume and LinkedIn sourcing and matching solutions claiming to use artificial intelligence, semantic search, and NLP, including how they work, their pros, cons, and limitations, and examples of what sourcers and recruiters can do that even the most advanced automated search and match algorithms can't do. Topics covered include human capital data information retrieval and analysis (HCDIR & A), Boolean and extended Boolean, semantic search, dynamic inference, dark matter resumes and social network profiles, and what I believe to be the ideal resume search and matching solution.

This document discusses the limitations of using artificial intelligence and semantic search to source talent. While these tools can help find some candidates, they are inherently flawed and can only match on explicitly mentioned keywords. At least 50% of potential candidates may have "dark matter" resumes that are missed. True sourcing requires human judgment, creativity, analysis and pattern recognition to iteratively search with different strategies and uncover hidden talent. The best sourcers are experts in analyzing human capital data.

My talk on what is AI, how it relates to marketing, and what are the challenges for a exec education batch at the Indian School of Business (ISB)

1) Semantic search relies on understanding the conceptual relationships between keywords rather than exact matches, so SEOs must conduct more thorough semantic keyword research. 2) Tools like KNIME allow SEOs to automate data collection from sources like search engines and social media, analyze the data using techniques like TF-IDF and LDA to group keywords semantically, and visualize relationships to guide on-page optimization. 3) By understanding conceptual topics and how consumer language is used, SEOs can better optimize websites for searcher intent to perform well in semantic search.

The document discusses machine learning applications for SEO. It begins by introducing machine learning and how it works. Then it discusses BERT, a popular natural language processing model, and some of its capabilities and limitations. The bulk of the document outlines various machine learning applications for SEO tasks like understanding customer needs, automating content creation, and amplifying content. It concludes by noting that machine learning can streamline the process of turning data into insights and that pursuing it requires having labeled training data and considering problems one's existing data could address.

This document provides an overview of building a knowledge graph at the Inter-American Development Bank. It discusses how the Bank implemented a knowledge graph to automatically extract entities and concepts from content to create semantic data and recommendations. The solution involved developing taxonomies and ontologies, ingesting content, and using an extractor like PoolParty to tag documents and connect them to concepts in the knowledge graph. Key lessons included creating an organic taxonomy, leveraging extraction scores, using applicable sections of taxonomies, and developing a repeatable ingestion process to continually update the knowledge graph.

Explore CTAConf's Marketing IQ theme with a layer of AI. You don't have to be a data scientist to think of the next genius ML application!!! ANYONE CAN! Machine Learning is power at your fingertips! Learn more about how you can apply Machine Learning to your day to day life here.

Working with data is a challenge for many organizations. Nonprofits in particular may need to collect and analyze sensitive, incomplete, and/or biased historical data about people. In this talk, Dr. Cori Faklaris of UNC Charlotte provides an overview of current AI capabilities and weaknesses to consider when integrating current AI technologies into the data workflow. The talk is organized around three takeaways: (1) For better or sometimes worse, AI provides you with “infinite interns.” (2) Give people permission & guardrails to learn what works with these “interns” and what doesn’t. (3) Create a roadmap for adding in more AI to assist nonprofit work, along with strategies for bias mitigation.

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.

The document discusses the evolution of search engines from basic keyword search to semantic search using knowledge graphs and structured data. It provides examples of how search engines like Google are now able to provide direct answers to queries by searching structured data rather than just documents. It emphasizes the importance of representing web content as structured data using schemas like schema.org to be discoverable in semantic search and knowledge graphs.

Exploring modern search engines, semantic search, and AI technology to better understand how we can integrate into SEO strategy and content initiatives. With the rise of ChatGPT there has been a lot of discussion around if SEO content is good or bad. To best determine how to leverage this technology in SEO workflows we must revisit how a modern search engine works and where we are at with AI technology.

This document provides an overview of information architecture (IA) and its importance. It discusses the key elements and goals of IA, including organizing content, designing navigation, and classifying information. The document also stresses the importance of understanding user, business, technology, and content requirements through research and interviews. It presents an exercise for practicing requirements gathering and introduces the concept of personas as a way to represent different types of users.

Everyone from employers to educators are talking about the need for today’s students to develop effective critical thinking and problem solving skills-but few people know what that really looks like in a classroom or how to measure student competency in a meaningful way. This workshop is designed to take the conceptual understanding of critical thinking to a more practical reality. Grounded in research about employers’ expectations and educators’ challenges in this area, the workshop will use innovative digital content and games to demonstrate how students can effectively develop problem solving muscles, and how teachers can measure student competencies. Features Arts, Science and Civics. From Dr. Julie Evans (Project Tomorrow) and Dr. Kari Stubbs (BrainPOP)

How is SEO changing to support microdata like Schema.org? And why is this metadata good for information retrieval and organic search engine optimization? In this introductory guest lecture for the University of Washington, I present some of the problems in information retrieval for unstructured content ("blobs") and how to solve for these challenges using Schema.org microdata to define "entities". There's a simple Schema.org markup exercise to expose students to the basics as well as jokes about horror movies, The Simpsons, Keanu Reeves, and even Joss Whedon just to keep things light-hearted and fun. You can learn more about Jonathon Colman at http://www.jonathoncolman.org/

This document provides an overview of getting started with data science using Python. It discusses what data science is, why it is in high demand, and the typical skills and backgrounds of data scientists. It then covers popular Python libraries for data science like NumPy, Pandas, Scikit-Learn, TensorFlow, and Keras. Common data science steps are outlined including data gathering, preparation, exploration, model building, validation, and deployment. Example applications and case studies are discussed along with resources for learning including podcasts, websites, communities, books, and TV shows.

Brian Spiering, a faculty member at the University of San Francisco's MS in Data Science, provides practical advice on how best to navigate the seemingly unlimited choices. He covers how to learn programming skills you'll need, how much Machine Learning is enough, and how to develop the necessary communication skills.

A programmatic tool to generate a database and interfaces for a research software encylopedia, including taxonomy and criteria pages.

Afraid the next Google update will kill your site's traffic? Already been hammered by one and trying to recover? Google unleashed a lot of updates this fall, and a lot of sites were negatively affected, especially those in the e-commerce and affiliate space. This talk will help you understand better how Google's machine-learning algorithms work. When Google rewards sites and when they "punish" sites by taking away their traffic. We will also look at how AI content might affect you going forward. Understanding Google's machine learning algorithms will help you protect your site from the wrath of a Google update going forward as well as help you learn how to better grow your existing site traffic and revenue. #ASW24

Discussion using real world examples of how those often disregarded anomalies in your crawl and site data can be the breadcrumbs that lead you to discover serious site issues that go so often overlooked. Attendees will learn how to not only find these hidden anomalies but how to turn those findings into actionable site fixes that improve your site presence and visibility in organic search.

This presentation was from 2021 and explains to viewers what Core Updates are, but also importantly, what they are not. Also how to fix your site an regain your traffic.

This was the training session follow up to the general talk on ChatGPT. This talk has a bit more detail on prompt writing along with the power and limitations of ChatGPT for Marketing.

Presentation: Disinformation and Social Media in the 2020 Presidential Election Cycle including steps on how to discover and combat it. Was given to the NATIONAL FEDERATION OF DEMOCRATIC WOMEN Southwest Regional Conferences in Las Vegas NV.

Summary: Why does Google have algorithm updates? What are the myths and realities behind Google's Core Updates (starting with Medic), does E-A-T matter, and what can you do to recover your site traffic if you were hit with this update. NOTE: SOME SLIDES CENSORED for Public View. Ungagged conference sessions can only be shared by the permission of the speaker. Most of this slide deck can be viewed publicly, but a few slides are not for public viewing and items, in part or in whole, have been redacted. ____________________ This slide deck was presented at the Ungagged LA Conference Nov 2019.

Google's search algorithms have evolved from relying solely on keyword matching and link analysis to incorporating semantic understanding enabled by knowledge graphs and machine learning. Over time, Google has moved from processing unstructured "bags of words" to understanding entities and their relationships in order to better match user intent. The introduction of techniques like Hummingbird and the Knowledge Graph allowed Google to incorporate semantic interpretations and contextual information into search rankings.

This was my talk at Ungagged London on understanding the history of Google's "The Knowledge Graph" and how it is being used as the first step towards scaling natural language understanding and machine learning as we move past the simple keyword and into the time of queries, questions, and voice search.

It is often mistakenly thought that Google does natural language processing in its search results, as of 2018 it still doesn't. This presentation looks at how Google started, its historical approach to language, and how it is working towards NLP along with new methods of machine learning that are supporting the "strings to things" interpretation of text and voice and how Rank Brain plays into all of this.

Google Algorithms, Your Site, and Moving towards Mobile First indexing in a Post Update World. What you need to know about the changes in Google, how it affects your site, and what you can do to stay ahead of the game when Google changes all the rules in an environment of decreasing transparency.

Entity-Based Search – What is it? What are entities? Where do they come from? And how does Google use them? This presentation answers questions about the history of Google, structured data, the Knowledge Graph, how Rank Brain ties into it and what SEOs need to know about it all.

Presenting with Marie Haynes on SEO Links at Engage Portland March 2018. This is my presentation on the history of links, Google, and SEO as well as a look at where we are going.

Presentation on Mobile and SEO. Covering Mobile in general and the Mobile First Algorithm and how it changes search.

This is a hybrid presentation (Part mine, part Ian Lurie delivered by me) on Technical SEO and its implications.

Presentation at Ungagged Las Vegas on unpacking Google's Black Box in 2017. A detailed look at Google Algorithms in 2017 and how these affect your site.

This document provides an overview of search engine optimization (SEO) techniques and Google algorithms. It discusses both white hat and black hat SEO. White hat SEO focuses on improving a site through high-quality content, technical optimization, and natural links. Black hat techniques like hidden text, keyword stuffing, and link manipulation are avoided. Major Google algorithms like Panda, Penguin, and Mobilegeddon are explained. The document also covers mobile SEO issues like mobile-first indexing and AMP. The overall message is that SEO success comes through following Google's guidelines rather than trying to game the system.

WordPress is used by 25-30% of websites but faces security risks. Hackers target WordPress sites to install malware, spam, or steal information. The top reasons WordPress sites get hacked are outdated software, themes, and plugins. Site owners can reduce risks by limiting access, using security plugins, regularly updating WordPress and plugins, choosing secure hosting, and strengthening login protections.

My talk June 23rd at SMX Advanced about how to find Search Engine Optimization site issues when the obvious fixes don't work.

Technical SEO audits examine the technical foundations of a website, including server configurations, code, speed, site architecture, indexability, and more. The audit process begins by checking for any manual or algorithmic penalties from Google. If no penalties are found, the auditor analyzes technical elements like HTTPS implementation, robots.txt files, sitemaps, canonical tags, redirects, navigation, HTML code quality, and use of schemas. Key areas reviewed include HTTP to HTTPS migration, robots.txt blocking, sitemap formats, canonical usage, redirect types, architecture structure, navigation design, code validation, and schema implementation. Site speed is also critically evaluated using tools like WebPageTest.org and Google PageSpeed Insights.

GOOGLE+ (PLUS) AUTHORSHIP PRESENTATION FOR PUBCON NEW ORLEANS 2014. PRESENTATION ON IDENTITY, GOOGLE AND HOW AUTHORSHIP IS AFFECTED BY THIS IDENTITY TAG.

Presented at Gartner Data & Analytics, London Maty 2024. BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Join this session to hear their story, the lessons they learned along the way and how their future innovation plans include the exploration of uses of EKG + Generative AI.

Have you noticed the OpenSSF Scorecard badges on the official Dart and Flutter repos? It's Google's way of showing that they care about security. Practices such as pinning dependencies, branch protection, required reviews, continuous integration tests etc. are measured to provide a score and accompanying badge. You can do the same for your projects, and this presentation will show you how, with an emphasis on the unique challenges that come up when working with Dart and Flutter. The session will provide a walkthrough of the steps involved in securing a first repository, and then what it takes to repeat that process across an organization with multiple repos. It will also look at the ongoing maintenance involved once scorecards have been implemented, and how aspects of that maintenance can be better automated to minimize toil.

Kief Morris rethinks the infrastructure code delivery lifecycle, advocating for a shift towards composable infrastructure systems. We should shift to designing around deployable components rather than code modules, use more useful levels of abstraction, and drive design and deployment from applications rather than bottom-up, monolithic architecture and delivery.

Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.

Password Rotation in 2024 is still Relevant

Not so much to say

Today’s digitally connected world presents a wide range of security challenges for enterprises. Insider security threats are particularly noteworthy because they have the potential to cause significant harm. Unlike external threats, insider risks originate from within the company, making them more subtle and challenging to identify. This blog aims to provide a comprehensive understanding of insider security threats, including their types, examples, effects, and mitigation techniques.

MuleSoft Meetup on APM and IDP

Everything that I found interesting last month about the irresponsible use of machine intelligence

Sustainability requires ingenuity and stewardship. Did you know Pigging Solutions pigging systems help you achieve your sustainable manufacturing goals AND provide rapid return on investment. How? Our systems recover over 99% of product in transfer piping. Recovering trapped product from transfer lines that would otherwise become flush-waste, means you can increase batch yields and eliminate flush waste. From raw materials to finished product, if you can pump it, we can pig it.

Everything that I found interesting about machines behaving intelligently during June 2024

This presentation explores the practical application of image description techniques. Familiar guidelines will be demonstrated in practice, and descriptions will be developed “live”! If you have learned a lot about the theory of image description techniques but want to feel more confident putting them into practice, this is the presentation for you. There will be useful, actionable information for everyone, whether you are working with authors, colleagues, alone, or leveraging AI as a collaborator. Link to presentation recording and transcript: https://bnctechforum.ca/sessions/details-of-description-part-ii-describing-images-in-practice/ Presented by BookNet Canada on June 25, 2024, with support from the Department of Canadian Heritage.

An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)

This is a powerpoint that features Microsoft Teams Devices and everything that is new including updates to its software and devices for May 2024

The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.

In the modern digital era, social media platforms have become integral to our daily lives. These platforms, including Facebook, Instagram, WhatsApp, and Snapchat, offer countless ways to connect, share, and communicate.

CIO Council Cal Poly Humboldt September 22, 2023

Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk. What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year? Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year. This webinar will review: - Key changes to privacy regulations in 2024 - Key themes in privacy and data governance in 2024 - How to maximize your privacy program in the second half of 2024

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Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023 https://arxiv.org/abs/2307.12980