How to categorise 100K search queries in 15 minutes - MeasureFest

Interesting insights from log files are often kept within silos, not shared with content teams. This prevent content teams from reaching their full potential. Learn how they can improve crawling and indexing though leveraging insights from log file analysis, all in real-time.

Google conducts 800,000 experiments and improvements to search annually to optimize search results for users. In 2021 alone, Google made 5,000 improvements to search. As of August 2022, 92% of all search queries are handled by Google. The document then provides an in-depth overview of how to conduct a comprehensive search engine optimization (SEO) analysis, including competitor analysis, entity analysis, sentiment analysis, search intent analysis, language use analysis, and rank analysis. It recommends leveraging tools like Google APIs, Data for SEO, and GPT-3 to automate the analysis and provide classifications. The analysis is intended to guide content and keyword strategy execution rather than replace it.

Slides from AccuraCast MD, Farhad Divecha's presentation at Brighton SEO. In his talk, Farhad discussed how the removal of third-party cookies will affect SEO and advised delegates on practical, actionable things they can do to best equip their business to overcome the potential challenges involved.

How often is Google rewriting your title tags and creating a custom title link on the SERP? Moreover, why is Google not relying on your title tags anymore for the title on the SERP? Dive in with this look at Google's title rewrites!

The document discusses strategies for content creation targeting low search volume keywords. It notes that while some marketers ignore these keywords, they can be high intent terms that are likely to convert if addressed with relevant content. The document advocates mapping out related low search volume topics, creating templates with rules for metadata, and programmatically launching many pages to cover niche topics. When this was tested with a 100-page pilot, it led to 105% traffic growth and 25% higher conversions after expanding the program to over 5,000 pages. The conclusion is that low search volume keywords should not be ignored as they can find "precious" intent if addressed properly.

In this talk, Beth will give an introduction of what schema is, where it sits within a structured data framework, and its use cases. Then she’ll move on to the types that can be used or are no longer recognised by search engines. This will be followed by a hands-on discussion of how to audit a website, how to write the relevant code, and ways to implement and test.

This document outlines a 4-step process for conducting a Core Web Vitals audit: 1) Benchmark key pages by measuring LCP, FID, and CLS metrics, 2) Investigate audit results to understand issues, 3) Test optimization changes and re-measure metrics, 4) Prioritize fixes based on impact and effort required. The goal is to identify opportunities to improve load performance and user experience.

In this talk, given for SEO Mastery Summit 2022, I: - propose a continuous improvement planning approach for web architecture - highlight the importance of goal-driven site architecture planning - highlight the relationship between site goals, user personas, and search intent - demonstrate ways of considering search intent in both page planning and structure planning - highlight the benefits of having an intent-driven website architecture - highlight different ways to troubleshoot for intent mismatch - recommend some further reading to get set you on a path of success ✨ If you want to read the talk write-up, head over to: https://lazarinastoy.com/building-a-search-intent-driven-website-architecture/

The document discusses DuckDuckGo, a privacy-focused search engine. It provides an agenda that covers the rise of privacy concerns in search engines like Google, an overview of what DuckDuckGo is and why it was founded, how to optimize websites and advertise on DuckDuckGo, and where privacy in search is headed. DuckDuckGo has grown rapidly in recent years and now handles over 100 million searches per day, making it the 6th largest search engine globally. It does not track users or store personal information like search histories.

This document contains the transcript of a presentation about incorporating machine learning into internal linking audits. The presentation discusses analyzing a website's internal link structure using machine learning techniques like topic modeling and fuzzy matching to identify opportunities for new or improved internal links. It provides a 6-step process for discovery, analysis, clustering content by topic, identifying link opportunities, prioritizing where to link, and measuring the impact of implemented links. The goal is incremental improvements to internal linking that can boost SEO over time through better content organization and discoverability.

Creating engaging content is a tricky thing, and even if your work is perfectly targeted to your audience, with all the SEO research to back it up, it doesn’t guarantee engagement. In this talk, Eleni will showcase some of the mistakes she’s made and seen first-hand, explain why this isn’t getting engagement, and reveal how to fix it. From making content more accessible and inclusive, to key research methods that are often ignored, this talk will show you how to turn content that’s being ghosted and ignored, into something that creates meaningful connections.

Crawl budget refers to the number of pages a site is allowed to request that Google crawls on a daily basis. It is important because exceeding the crawl budget can lead to pages not being indexed. The document provides tips on how to identify a site's current crawl rate, issues impacting crawl budget like errors and duplicate content, and strategies for optimizing demand and capacity such as improving site speed and creating fresh content regularly. The goal is identifying any crawl issues and optimizing the crawl budget to have the most important pages indexed.

Automate The Technical SEO Stuff by Michael Van Den Reym In this talk, Michael will show you how to automate technical SEO tasks. You will learn how to schedule and compare crawls to spot technical errors faster, how to use RPA to speed up technical SEO audits and how to automatically optimize images. You will get inspired to execute technical SEO better and faster.

Rebecca heads up the Digital PR team at JBH, delivering creative digital PR strategies for lifestyle brands. After working in SEO for more years than she would care to admit, Rebecca's presentation reveals how the SEO industry has fallen out of love with large-scale hero campaigns, and shifted back to fundamentals of earning links using content marketing techniques.

For every website on the internet, Google has a fixed budget for how many pages their bots can and are willing to crawl. The internet is a big place, so Googlebot can only spend so much time crawling and indexing our websites. Crawl budget optimization is the process of ensuring that the right pages of our websites end up in Google’s index and are ultimately shown to searchers. Google’s recommendations for optimizing crawl budget are rather limited, because Googlebot crawls through most websites without reaching its limit. But enterprise-level and ecommerce sites with thousands of landing pages are at risk of maxing out their budget. A 2018 study even found that Google’s crawlers failed to crawl over half of the webpages of larger sites in the experiment. Influencing how crawl budget is spent can be a more difficult technical optimization for strategists to implement. But for enterprise-level and ecommerce sites, it’s worth the effort to maximize crawl budget where you can. With a few tweaks, site owners and SEO strategists can guide Googlebot to regularly crawl and index their best-performing pages.

With the help of my favourite case study, I'm showcasing how I took a data-driven approach to scale SEO for a travel brand. I've covered how I collected data, found trends, and converted them into opportunities. Those opportunities were tested before the grand deployment, which resulted in multifold growth in SEO visibility and revenue.

The document discusses optimizing product listing pages (PLPs) on ecommerce websites. It begins with the author describing their experience finding a website with little obvious "tech debt" issues to address. They then analyze which page templates drive the most revenue, finding PLPs account for 60% of organic revenue. The author breaks down PLPs into individual components and suggests prioritizing optimization of filters and internal linking. They argue for considering metrics beyond just search volume, like user behavior and conversion data, when deciding which page variants to focus on.

Speaker: Brian Blevins, Technical Services Engineer, MongoDB Level: 200 (Intermediate) Track: Performance Since the performance of your application drives engagement and revenue, it can make or break the success of your organization. You can use the Compass graphical client from MongoDB to visualize your database schema, collect information on optimization opportunities and make database changes to improve performance. In this talk, we will briefly introduce Compass and then delve into the features supporting database performance optimization. The talk will combine instruction on the use of Compass with recommendations for performance best practices. We will also review the detection and resolution of slow queries and excessive network utilization. After attending the talk, audience members will have a better understanding of the capabilities of Compass, including how those capabilities can be used to find and correct performance bottlenecks in MongoDB databases. This session is designed for those with limited MongoDB experience. Attendees should have a basic understanding of MongoDB’s schema design, the server/database/collection layout, and how their application accesses and uses the MongoDB database. What You Will Learn: - Identify excessive network utilization, adjust queries appropriately and use Compass to confirm results. - Understand how the Compass graphical client can help you improve performance in your MongoDB deployment. - Use Compass real time statistics to identify slow queries and recognize when a query is a good candidate for adding an index.

Using Compass to Diagnose Performance Problems in Your Cluster Speaker: Brian Blevins, Technical Services Engineer, MongoDB Date/Time: June 20, 1:50 PM Track: Performance Since the performance of your application drives engagement and revenue, it can make or break the success of your organization. You can use the Compass graphical client from MongoDB to visualize your database schema, collect information on optimization opportunities and make database changes to improve performance. In this talk, we will briefly introduce Compass and then delve into the features supporting database performance optimization. The talk will combine instruction on the use of Compass with recommendations for performance best practices. We will also review the detection and resolution of slow queries and excessive network utilization. After attending the talk, audience members will have a better understanding of the capabilities of Compass, including how those capabilities can be used to find and correct performance bottlenecks in MongoDB databases. This session is designed for those with limited MongoDB experience. Attendees should have a basic understanding of MongoDB’s schema design, the server/database/collection layout, and how their application accesses and uses the MongoDB database. What You Will Learn: - Identify excessive network utilization, adjust queries appropriately and use Compass to confirm results. - Understand how the Compass graphical client can help you improve performance in your MongoDB deployment. - Use Compass real time statistics to identify slow queries and recognize when a query is a good candidate for adding an index.

This document summarizes the agenda and notes from a Cleveland Salesforce Developer Group meeting about testing. The meeting included presentations on closing the test automation gap and increasing testing velocity, as well as the return of H.O.T. (Happy Over Test) classes in Cleveland. Various announcements were also made about upcoming local and virtual events.

The document provides an overview of artificial intelligence and machine learning. It discusses: - What AI and machine learning are, including common algorithms like recommendation systems, speech recognition, and computer vision. - How machine learning differs from traditional programming by using algorithms and models instead of hardcoded rules. - Popular machine learning algorithms like naive bayes, KNN, and neural networks. - How machine learning can be done in JavaScript using pre-trained models, transfer learning, or training models directly in the browser. - Examples of machine learning applications like generating alt text, filtering content, and accessibility. - Limitations of machine learning like needing large datasets, training time, and potential bias.

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

The document provides training on using micro ad groups and AdWords Editor software to improve campaign performance. It discusses strategies like using dynamic keyword insertion and limiting ad groups to 10-15 similar keywords. It also overview functions of AdWords Editor and tricks for using Excel to filter keywords and build keyword-specific ads and bid strategies to export to Google in bulk. Advanced strategies covered include using the SpeedPPC tool and functions like "proper" and "concatenate" in Excel.

This is a presentation made on the 13th August 2014 at the SF Data Mining Meetup at Trulia. It's about Dataiku and the Kaggle Personalized Web Search Ranking challenge sponsored by Yandex

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.

This document discusses principles for applying continuous delivery practices to machine learning models. It begins with background on the speaker and their company Indix, which builds location and product-aware software using machine learning. The document then outlines four principles for continuous delivery of machine learning: 1) Automating training, evaluation, and prediction pipelines using tools like Go-CD; 2) Using source code and artifact repositories to improve reproducibility; 3) Deploying models as containers for microservices; and 4) Performing A/B testing using request shadowing rather than multi-armed bandits. Examples and diagrams are provided for each principle.

The document discusses how to accelerate and amplify the impact of modelers. It describes SigOpt's platform which allows for automated hyperparameter optimization, tracking of experiments, and reuse of insights. This helps make modeling faster, cheaper, and better. The document advocates balancing flexibility and standardization, maximizing resource utilization through techniques like parallelization, and unlocking new capabilities such as optimizing expensive models or exploring architectures.

The document provides guidance on test-driven development (TDD) using examples from building a query framework. It discusses using mocks to test classes that interact with external resources or have variable behavior. Tests take more effort initially to set up scenarios but become quicker with reused code. Refactoring is important when designs reach limitations. Integration tests can be used after defining class interfaces through unit tests. TDD helps define the design and catches errors early but some design knowledge is still needed.

I'm planning to introduce developers with Search API system during the presentation : - What is Search API and how to deal with it; - Overview of the most used search backends for Search API; - What is the difference between Drupal 7 and 8 Search API; - Faceted and fulltext search and how to use it; - Tips and tricks regarding customization and extending of Search API / Faceted search. Level: from Beginners to Middle+

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design. Built by experienced developers, it takes care of much of the hassle of Web development, so you can focus on writing your app without needing to reinvent the wheel. It’s free and open source. Following is the agenda of the meetup: 1. How to get started with Django 2. Advanced overview of Django components 1. Views 2. Models 3. Templates 4. Middlewares 5. Routing 3. Deep dive into Django ORM 4. How to write complex Django queries using Model Managers, Query Sets and Q library 5. How do Django models work internally Whether you're a newer Django developer wanting to improve your understanding of some key concepts, or a seasoned Djangonaut, there should be something for you.

Elasticsearch forms the backbone of Yelp's core search. The Learning to Rank elasticsearch plugin is one of the key tools that has transformed the Yelp Search team from serving linear ranking models only on the search page to powering a business ranking platform that serves all business recommendation applications across Yelp. This talk will detail how Yelp's search engineers enhanced LTR plugin such that it would not only solve Yelp's current search needs but also enable future ranking use cases at Yelp.

This document provides an overview of key object-oriented programming concepts in Salesforce including classes, objects, inheritance, abstract classes, and interfaces. It discusses how classes define objects, how to instantiate objects, access specifiers, static methods, inheritance which allows extending existing classes, abstract classes which define common methods, and interfaces which enforce method signatures. Code examples are provided to demonstrate these concepts. The document also recommends books for learning Apex at different skill levels and includes an agenda and rules for the session.

This document discusses how to build machine learning models faster using Azure Machine Learning Service. It begins with an overview of machine learning and when it is applicable. Next, it describes the model building process of preparing data, training models, testing models, and deploying models. It then provides details on using Azure ML tools like Designer to prepare data, select algorithms, train models with no code, and deploy models as APIs. The document demonstrates the process with a retail forecasting example and provides references for additional information.

Presented at Open Source Charlotte Presented by Grant Ingersoll Title: Modern Search: Using ML & NLP advances to enhance search and discovery Abstract: With the recent advances in natural language processing and machine learning thanks to deep learning and large general purpose models, many search applications are confronted with how best to upgrade their systems, if at all. In this talk, we’ll look at practical ways to enhance search using neural and other machine learning techniques across ranking, content understanding and query understanding. We’ll also look at the tradeoffs of traditional approaches with a goal of helping you decide what’s best for your application. For more info on Open Source Charlotte: https://www.meetup.com/open-source-charlotte/

Talk given by Mike Skarlinski and Brian Graham from WW (new Weight Watchers) data science team in 5th NYC RecSys meetup, June 20, 2019, hosted at WW HQ

Today an increasingly large number of products use machine learning to deliver a great personalized user experience, and workplace software is no exception. Learn how Spoke uses MongoDB to do dynamic model training in real time from user interaction data and automatically train and serve thousands of models, with multiple customized models per client.

In the dynamic field of DevOps, the quest for efficiency and productivity is endless. This talk introduces a revolutionary toolkit: Large Language Models (LLMs), including ChatGPT, Gemini, and Claude, extending far beyond traditional coding assistance. We'll explore how LLMs can automate not just code generation, but also transform day-to-day operations such as crafting compelling cover letters for TPS reports, streamlining client communications, and architecting innovative DevOps solutions. Attendees will learn effective prompting strategies and examine real-life use cases, demonstrating LLMs' potential to redefine productivity in the DevOps landscape. Join us to discover how to harness the power of LLMs for a comprehensive productivity boost across your DevOps activities.

Data & Finanace

Daryaganj @ℂall @Girls ꧁❤ 9873940964 ❤꧂VIP Jina Singh Top Model Safe

学历认证补办制【微信：A575476】【(USC毕业证）阳光海岸大学毕业证成绩单offer】【微信：A575476】（留信学历认证永久存档查询）采用学校原版纸张，特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。 【业务选择办理准则】 一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信：A575476】文凭即可 二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信：A575476】即可 三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有���料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。 留信网认证的作用: 1:该专业认证可证明留学生真实身份【微信：A575476】 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才 → 【关于价格问题（保证一手价格） 我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间 对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。 选择实体注册公司办理，更放心，更安全！我们的承诺：可来公司面谈，可签订合同，会陪同客户一起到教育部认证窗口递交认证材料，客户在教育部官方认证查询网站查询到认证通过结果后付款，不成功不收费！ 办理(USC毕业证）阳光海岸大学毕业证【微信：A575476】外观非常精致，由特殊纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。 办理(USC毕业证）阳光海岸大学毕业证【微信：A575476】格式相对统一，各专业都有相应的模板。通常包括以下部分： 校徽：象征着学校的荣誉和传承。 校名:学校英文全称 授予学位：本部分将注明获得的具体学位名称。 毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。 颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。 其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。 办理(USC毕业证）阳光海岸大学毕业证【微信：A575476】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。 综上所述，办理(USC毕业证）阳光海岸大学毕业证【微信：A575476 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。

Vasant Kunj @ℂall @Girls ꧁❤ 9873777170 ❤꧂VIP Ruhi Singla Top Model Safe

Airline Satisfaction Project using Azure This presentation is created as a foundation of understanding and comparing data science/machine learning solutions made in Python notebooks locally and on Azure cloud, as a part of Course DP-100 - Designing and Implementing a Data Science Solution on Azure.

South Ex @ℂall @Girls ꧁❤ 9711199012 ❤꧂Glamorous sonam Mehra Top Model Safe

Democratizing Data – Why Data Mesh ?

Nehru Place @ℂall @Girls ꧁❤ 9873777170 ❤꧂VIP Jya Khan Top Model Safe

Greater Kailash @ℂall @Girls ꧁❤ 9873777170 ❤꧂Glamorous sonam Mehra Top Model Safe

Laxmi Nagar @ℂall @Girls ꧁❤ 9873777170 ❤꧂VIP Yogita Mehra Top Model Safe

Maruti Wagon R on road price in Faridabad - CarDekho