Investigate the Effect of Semantic Search on Search Engine Optimization”
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On-Page SEO Strategy Guide How to Optimise and Improve Your Content’S Ranking Table of Contents
On-Page SEO Strategy Guide How To Optimise And Improve Your Content’s Ranking Table of Contents 01 / Introduction ............................................................................................................ 3 02 / History of SEO ........................................................................................................ 4 03 / How To Get Started With On-Page SEO .............................................................. 7 04 / Topic Clusters Site Architecture ............................................................................ 15 05 / Analyse Results ....................................................................................................... 22 06 / Conclusion .............................................................................................................. 23 ON-PAGE SEO STRATEGY GUIDE 2 01 / Introduction The last few years have been especially exciting in the SEO industry with a series of algorithm updates and search engine optimisation developments escalating in increased pace. Keeping up with all of these changes can be difficult, but proving return on investment can be even harder. The world of SEO is changing. This ebook provides you with a brief history of the SEO landscape, introduces strategies for on- and off-page SEO, and shares reporting tactics that will allow you to track your efforts and identify their return. ON-PAGE SEO STRATEGY GUIDE 3 02 / History of SEO Search engines are constantly improving the search experience and therefore SEO is in a nonstop transformation. -
Received Citations As a Main SEO Factor of Google Scholar Results Ranking
RECEIVED CITATIONS AS A MAIN SEO FACTOR OF GOOGLE SCHOLAR RESULTS RANKING Las citas recibidas como principal factor de posicionamiento SEO en la ordenación de resultados de Google Scholar Cristòfol Rovira, Frederic Guerrero-Solé and Lluís Codina Nota: Este artículo se puede leer en español en: http://www.elprofesionaldelainformacion.com/contenidos/2018/may/09_esp.pdf Cristòfol Rovira, associate professor at Pompeu Fabra University (UPF), teaches in the Depart- ments of Journalism and Advertising. He is director of the master’s degree in Digital Documenta- tion (UPF) and the master’s degree in Search Engines (UPF). He has a degree in Educational Scien- ces, as well as in Library and Information Science. He is an engineer in Computer Science and has a master’s degree in Free Software. He is conducting research in web positioning (SEO), usability, search engine marketing and conceptual maps with eyetracking techniques. https://orcid.org/0000-0002-6463-3216 [email protected] Frederic Guerrero-Solé has a bachelor’s in Physics from the University of Barcelona (UB) and a PhD in Public Communication obtained at Universitat Pompeu Fabra (UPF). He has been teaching at the Faculty of Communication at the UPF since 2008, where he is a lecturer in Sociology of Communi- cation. He is a member of the research group Audiovisual Communication Research Unit (Unica). https://orcid.org/0000-0001-8145-8707 [email protected] Lluís Codina is an associate professor in the Department of Communication at the School of Com- munication, Universitat Pompeu Fabra (UPF), Barcelona, Spain, where he has taught information science courses in the areas of Journalism and Media Studies for more than 25 years. -
Machine Learning for Marketers
Machine Learning for Marketers A COMPREHENSIVE GUIDE TO MACHINE LEARNING CONTENTS pg 3 Introduction pg 4 CH 1 The Basics of Machine Learning pg 9 CH. 2 Supervised vs Unsupervised Learning and Other Essential Jargon pg 13 CH. 3 What Marketers can Accomplish with Machine Learning pg 18 CH. 4 Successful Machine Learning Use Cases pg 26 CH. 5 How Machine Learning Guides SEO pg 30 CH. 6 Chatbots: The Machine Learning you are Already Interacting with pg 36 CH. 7 How to Set Up a Chatbot pg 45 CH. 8 How Marketers Can Get Started with Machine Learning pg 58 CH. 9 Most Effective Machine Learning Models pg 65 CH. 10 How to Deploy Models Online pg 72 CH. 11 How Data Scientists Take Modeling to the Next Level pg 79 CH. 12 Common Problems with Machine Learning pg 84 CH. 13 Machine Learning Quick Start INTRODUCTION Machine learning is a term thrown around in technol- ogy circles with an ever-increasing intensity. Major technology companies have attached themselves to this buzzword to receive capital investments, and every major technology company is pushing its even shinier parentartificial intelligence (AI). The reality is that Machine Learning as a concept is as days that only lives and breathes data science? We cre- old as computing itself. As early as 1950, Alan Turing was ated this guide for the marketers among us whom we asking the question, “Can computers think?” In 1969, know and love by giving them simpler tools that don’t Arthur Samuel helped define machine learning specifi- require coding for machine learning. -
Anno Vii N. 23
ANNO VII N. 23 PERIODICO DELLA FAITA FEDERCAMPING IN TOSCANA L’OPEN AIR «È UNA GARANZIA PER I TERRITORI» STAGIONE 2013, TURISMO IN CALO MA L’OPEN AIR TIENE SIPAC, IL SALONE UFFICIALE DELLA FAITA AD ASSISI LA Poste Italiane SPA - Sped. Abb. Postale DL 353/2003 (conv. INL. 27/02/2004, nª 46) ART.1 comma 1 DCB ROMA • comma 1 DCB ROMA ART.1 Aprile - Giugno 2013 INL. 27/02/2004, nª 46) 353/2003 (conv. Abb. Postale DL - Sped. Poste Italiane SPA BORSA DEL TURISMO DEI SITI UNESCO CAMPING MANAGEMENT :EDITORIALE Maurizio Vianello ono in circolazione dallo scorso mese, numerose buono. Invece per le imprese e per gli operatori, per ANNO VII N. 23 indagini e studi di previsione sull’andamento del- gli addetti ed i dipendenti qualcosa di buono bisogne- Sla prossima stagione turistica. I dati, com’era pre- rà pure che lo si immagini, ed anche piuttosto in fret- vedibile ed ampiamente atteso, non sono confortanti. ta. Perchè il turismo è uno di quei settori dove le im- Quel che preoccupa maggiormente è la contrazione prenditorialità nascono e si formano lentamente, ci del mercato interno: gli italiani che andranno in va- vogliono una o due generazioni per fare la fortuna di canza saranno sempre meno ed i loro soggiorni saran- una località o di un comprensorio, ma muoiono in no più brevi. Non che si possa sperare di meglio nel fretta e agonizzando compromettono il futuro in ma- sesto anno della crisi economica, ma almeno si può niera più che proporzionale. guardare all’incoming con un briciolo di ottimismo, al- Non voglio apparire cinico ma un turn over rapido è meno per ora. -
The Machine Learning Journey with Google
The Machine Learning Journey with Google Google Cloud Professional Services The information, scoping, and pricing data in this presentation is for evaluation/discussion purposes only and is non-binding. For reference purposes, Google's standard terms and conditions for professional services are located at: https://enterprise.google.com/terms/professional-services.html. 1 What is machine learning? 2 Why all the attention now? Topics How Google can support you inyour 3 journey to ML 4 Where to from here? © 2019 Google LLC. All rights reserved. What is machine0 learning? 1 Machine learning is... a branch of artificial intelligence a way to solve problems without explicitly codifying the solution a way to build systems that improve themselves over time © 2019 Google LLC. All rights reserved. Key trends in artificial intelligence and machine learning #1 #2 #3 #4 Democratization AI and ML will be core Specialized hardware Automation of ML of AI and ML competencies of for deep learning (e.g., MIT’s Data enterprises (CPUs → GPUs → TPUs) Science Machine & Google’s AutoML) #5 #6 #7 Commoditization of Cloud as the platform ML set to transform deep learning for AI and ML banking and (e.g., TensorFlow) financial services © 2019 Google LLC. All rights reserved. Use of machine learning is rapidly accelerating Used across products © 2019 Google LLC. All rights reserved. Google Translate © 2019 Google LLC. All rights reserved. Why all the attention0 now? 2 Machine learning allows us to solve problems without codifying the solution. © 2019 Google LLC. All rights reserved. San Francisco New York © 2019 Google LLC. All rights reserved. -
Programma Deepseo
60 ore di corso e più di 200 lezioni ad oggi Contributi di SEO Italiani e Internazionali CORSO SEO ONLINE Corso sempre aggiornato! UN PERCORSO Gruppo di SEO SEMPRE discussione privato + AGGIORNATO! Laboratorio SEO IL CORSO SEO ADATTO A TUTTI! Ho ideato questo percorso dopo anni di riflessione e con il contributo dei migliori SEO Italiani e Internazionali! Prova i migliori Tool SEO gratis! Ti spiegherò i metodi e le tecniche che utilizzo ogni giorno nei progetti SEO miei e dei miei clienti e il tutto sarà arricchito da casi studio, aggiornamenti e contributi inediti! Qui trovi il video in cui ti spiego il programma del corso DEEPSEO Ti aspetto all’interno di #DEEPSEO www.deepseo.it Marco Info: [email protected] Il corso SEO per imparare un metodo da applicare a qualsiasi progetto online! Utile sia per chi inizia da 0 e vuole gestire in autonomia i suoi IL PRIMO PERCORSO progetti sia per professionisti SEO con tante lezioni ONLINE avanzate! AGGIORNATO I CONTRIBUTI DEI MIGLIORI SEO SEO DA TUTTO IL MONDO HANNO CONTRIBUITO PER RENDERE IL CORSO UNICO E INIMITABILE! Ecco alcuni dei contributi SEO che potrai vedere – IN LINGUA ITALIANA! • Agrawal Harsh: Come ho creato un blog da un milione di dollari! • Kyle Roof: SEO: come scalare le SERP grazie a un test di laboratorio! • Marco Maltraversi: Da 0 a 38.000 visite al mese con un nuovo sito • Alessandro Notarbartolo: Tabbid: un mio sogno diventato realtà. • Daine Gareth : Come creare un business da 100K al mese con l’Affiliate Marketing • Craig Campbell: 10k al mese con SEO e affiliazioni: ecco come ho fatto step by step • Isan Hydi: Google news tutto quello che devi sapere • Daniele Solinas : Local SEO una guida passo a passo per scoprire questo mondo. -
Google's Major Algorithm Updates and How
GOOGLE’S MAJOR ALGORITHM UPDATES AND HOW THEY AFFECT WEBSITE'S SEARCH PRIORITY Posted on May 26, 2016 by Andrew Teh Category: Online Marketing Tags: google, google algorithm, google updates, search engine optimization As a company that revolutionizes internet search mechanism by introducing the most sophisticated way of searching with its PageRank system, Google regards its search engine as its most essential asset. Updates to its search result ranking algorithm are periodically introduced, implemented and revised to make sure that its search engine ranks websites fair and square. Most of these updates are minor, but there are some major updates that significantly change the search engine’s behavior. The first major update is called Panda, which Google first introduced in 2011. About a year later, Google introduced Penguin, which further enhanced the search engine’s ingenuity in rewarding quality websites and punishing spammy websites with manipulative link profiles. The next major updates that follows, including Hummingbird, Pigeon and RankBrain, make Google even more context-friendly and more capable to provide users with more relevant search results. Google also released a special update called Mobilegeddon, which allows its search engine to give priority to mobile-friendly websites when users use their mobile devices for searching. For website owners, knowing the features introduced by new updates and their impact to their websites is crucial. Here you will learn about what you need to know about each of those major updates so that you and your websites can get prepared to deal with them. Panda Introduced on: Feb 24, 2011. Revision: Monthly. Purpose: Lower the rank of websites with poor content quality. -
Google Penguin Stories (Interviews)
GOOGLE PENGUIN STORIES (INTERVIEWS) 1 GOOGLE PENGUIN STORIES (INTERVIEWS) Personal Experiences of Google Penguin Everybody who has been affected by Google Penguin has their own personal story. We interviewed many SEO professionals and internet marketers to find out what Google Penguin was really like for them. 2 Table of Content GOOGLE PENGUIN STORIES (INTERVIEWS) 1.1 Andy Edwards 4 1.2 Arda Mendeş 6 1.3 Ashley Turner 8 1.4 Barry Schwarz 11 1.5 Bartosz Góralewicz 13 1.6 Christiaan Bollen 15 1.7 Dave Naylor 17 1.8 Dawn Anderson 19 1.9 Debra Mastaler 21 1.9 Emir Dervisevic 24 1.10 Geir Ellefsen 26 1.11 Henry Silva 28 1.12 John Cooper 30 1.13 Julie Joyce 32 1.14 Kaspar Szymanski 34 1.15 Matthew Barby 36 1.16 Michael King 38 1.17 Mikkel deMib Svendsen 40 1.18 Natalie Wright 42 1.19 Neil Patel 44 1.20 Nichola Stott 46 1.21 Nick Garner 49 1.22 Paddy Moogan 52 1.23 Piperis Filippaios 54 1.24 Ramón Rautenstrauch 56 1.25 Rick Lomas 58 1.26 Roger Montti 61 1.27 Søren Riisager 65 1.28 Tom Black 67 CONCLUSION 69 3 1.1 Andy Edwards Andy is a professional affiliate marketer and has been in the online gam- bling sector since 2006. He has extensive knowledge of this sector along with gambling related SEO and has been an EGR power 50 affiliate for the past 3 years. He has a number of top affiliates sites and joined Link Re- search Tools to bring all his SEO for these sites in house. -
Ouellette, the Google Shortcut to Trademark Law, 102 CALIF
Preferred citation: Lisa Larrimore Ouellette, The Google Shortcut to Trademark Law, 102 CALIF. L. REV. (forthcoming 2014), available at http://ssrn.com/abstract=2195989. The Google Shortcut to Trademark Law Lisa Larrimore Ouellette* Trademark distinctiveness—the extent to which consumers view a mark as identifying a particular source—is the key factual issue in assessing whether a mark is protectable and what the scope of that protection should be. But distinctiveness is difficult to evaluate in practice: assessments of “inherent distinctiveness” are highly subjective, survey evidence is expensive and unreliable, and other measures of “acquired distinctiveness” such as advertising spending are poor proxies for consumer perceptions. But there is now a simpler way to determine whether consumers associate a word or phrase with a certain product: Google. Through a study of trademark cases and contemporaneous search results, I argue that Google can generally capture both prongs of the test for trademark distinctiveness: if a mark is strong—either inherently distinctive or commercially strong—then many top search results for that mark relate to the source it identifies. The extent of results overlap between searches for two different marks can also be relevant for assessing the likelihood of confusion of those marks. In the cases where Google and the court disagree, I argue that Google more accurately reflects how consumers view a given mark. Courts have generally given online search results little weight in offline trademark disputes. But the key factual questions in these cases depend on the wisdom of the crowds, making Google’s “algorithmic authority” highly probative. * Yale Law School Information Society Project, Postdoctoral Associate in Law and Thomson Reuters Fellow. -
Profiles in Innovation: Artificial Intelligence
EQUITY RESEARCH | November 14, 2016 Artificial intelligence is the apex technology of the information era. In the latest in our Profiles in Innovation Heath P. Terry, CFA series, we examine how (212) 357-1849 advances in machine [email protected] learning and deep learning Goldman, Sachs & Co. have combined with more Jesse Hulsing powerful computing and an (415) 249-7464 ever-expanding pool of data [email protected] to bring AI within reach for Goldman, Sachs & Co. companies across Mark Grant industries. The development (212) 357-4475 [email protected] of AI-as-a-service has the Goldman, Sachs & Co. potential to open new markets and disrupt the Daniel Powell (917) 343-4120 playing field in cloud [email protected] computing. We believe the Goldman, Sachs & Co. ability to leverage AI will Piyush Mubayi become a defining attribute (852) 2978-1677 of competitive advantage [email protected] for companies in coming Goldman Sachs (Asia) L.L.C. years and will usher in a Waqar Syed resurgence in productivity. (212) 357-1804 [email protected] Goldman, Sachs & Co. PROFILESIN INNOVATION Artificial Intelligence AI, Machine Learning and Data Fuel the Future of Productivity Goldman Sachs does and seeks to do business with companies covered in its research reports. As a result, investors should be aware that the firm may have a conflict of interest that could affect the objectivity of this report. Investors should consider this report as only a single factor in making their investment decision. For Reg AC certification and other important disclosures, see the Disclosure Appendix, or go to www.gs.com/research/hedge.html. -
WEBMYNE SYSTEMS Complete Internet Marketing & SEO Training Guide [2014]
WEBMYNE SYSTEMS Complete Internet Marketing & SEO Training Guide [2014] SEO Training Guide - 2014 Webmyne, SEO Training Guide 0 TABLE OF CONTENTS Introduction to SEO # INTRODUCTION TO INTERNET MARKETING # SEARCH ENGINE BASICS # SEO REQUIREMENTS # Types of SEO # ON-PAGE SEO # OFF-PAGE SEO # Off-page SEO Overview # WHAT IS LINK BUILDING? # IMPORTANCE OF OFF-PAGE SEO OR LINK BUILDING # QUALITY LINK BUILDING/LINK DEVELOPMENT WAYS # Link Popularity in Practice # DIRECTORY SUBMISSION SOCIAL MEDIA OPTIMIZATION / BOOKMARKING ARTICLE SUBMISSION BLOG CREATION / SUBMISSION / MARKETING NEWS / PR / RELEASES FORUM POSTING CLASSIFIEDS COMMENTING (BLOGS / ARTICLES / FORUMS) LINK EXCHANGE EMAIL MARKETING BUSINESS DIRECTORY SUBMISSION GROUPS / COMMUNITY PROFILES CREATION SOCIAL NETWORKING RSS / ATOM / OPML / XML PINGING VIDEO SUBMISSION / PODCASTING / AUDIO SUBMISSION SOFTWARE SUBMISSION SLIDE SHARE / DOCUMENT / PDF SHARING On Page SEO Overview # KEYWORD RESEARCH # META TAGS AND TITLE OPTIMIZATION # CANONICAL TAG, META ROBOTS AND REL=NOFOLLOW TAGS # CONTENT OPTIMIZATION # URL OPTIMIZATION # IMPORTANCE OF ROBOTS.TXT AND HTACCESS # Webmyne, SEO Training Guide 1 Site Architecture # WHAT IS SITE ARCHITECTURE? # SEO FRIENDLY SITE STRUCTURE # Google Algorithms and Updates # WHAT ARE GOOGLE/SEARCH ENGINE ALGORITHMS? # EXPLAINING PANDA, PENGUIN AND HUMMINGBIRD UPDATES # Social Media Optimization & Social Networking # WHAT IS SOCIAL MEDIA OPTIMIZATION? # PARTICIPATING IN FACEBOOK, TWITTER, LINKEDIN, PINTEREST # EFFECTIVE SOCIAL MEDIA MARKETING TACTICS # -
Transforming Google's Evolution Into Lead-Generating
Transforming Google’s Evolution into Lead-Generating SEO. An RLC Media White Paper. Transforming Google’s Evolution into Lead-Generating SEO. It’s the verb that was once just a noun - “just Google it.” It’s the source for every search, every researched product, service, news, info, review, map, address, shopping, and price comparison. It’s the best way your business can place themselves directly in front of the people looking for your services, but it has also become like an over-stocked store. Require your consumer to sift through Google’s infinite layers of information and risk being entirely left out of the decision-making process altogether. If you want to be found, you need to create the right content, that shows up for the right key phrases, at the right time. Implementing a smart Search Engine Optimization (SEO) strategy is the way to make this happen. But you can’t cheat SEO or use loopholes. Gone are the days of madly backlinking and using volume-based techniques to rank quickly and consistently. And don’t even think about hiring an overseas company to manage it for you. Google will stay the path of rigorously defending the quality of its SERPs. For marketers, website designers and entrepreneurs, only one course of action remains. Either educate yourself on the new rules of SEO or watch as your competitors devour your market share. Building a site that meets all the criteria doesn’t happen overnight, but the long-term investment is worth it when considered with the many benefits. The Evolution of Google and SEO Strategy PANDA - FEBRUARY 2011 Google’s Panda algorithm update reduced rankings for what they deemed low-quality websites.