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Search Engine Optimization: a Survey of Current Best Practices
Grand Valley State University ScholarWorks@GVSU Technical Library School of Computing and Information Systems 2013 Search Engine Optimization: A Survey of Current Best Practices Niko Solihin Grand Valley Follow this and additional works at: https://scholarworks.gvsu.edu/cistechlib ScholarWorks Citation Solihin, Niko, "Search Engine Optimization: A Survey of Current Best Practices" (2013). Technical Library. 151. https://scholarworks.gvsu.edu/cistechlib/151 This Project is brought to you for free and open access by the School of Computing and Information Systems at ScholarWorks@GVSU. It has been accepted for inclusion in Technical Library by an authorized administrator of ScholarWorks@GVSU. For more information, please contact [email protected]. Search Engine Optimization: A Survey of Current Best Practices By Niko Solihin A project submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Information Systems at Grand Valley State University April, 2013 _______________________________________________________________________________ Your Professor Date Search Engine Optimization: A Survey of Current Best Practices Niko Solihin Grand Valley State University Grand Rapids, MI, USA [email protected] ABSTRACT 2. Build and maintain an index of sites’ keywords and With the rapid growth of information on the web, search links (indexing) engines have become the starting point of most web-related 3. Present search results based on reputation and rele- tasks. In order to reach more viewers, a website must im- vance to users’ keyword combinations (searching) prove its organic ranking in search engines. This paper intro- duces the concept of search engine optimization (SEO) and The primary goal is to e↵ectively present high-quality, pre- provides an architectural overview of the predominant search cise search results while efficiently handling a potentially engine, Google. -
Youtube Comments As Media Heritage
YouTube comments as media heritage Acquisition, preservation and use cases for YouTube comments as media heritage records at The Netherlands Institute for Sound and Vision Archival studies (UvA) internship report by Jack O’Carroll YOUTUBE COMMENTS AS MEDIA HERITAGE Contents Introduction 4 Overview 4 Research question 4 Methods 4 Approach 5 Scope 5 Significance of this project 6 Chapter 1: Background 7 The Netherlands Institute for Sound and Vision 7 Web video collection at Sound and Vision 8 YouTube 9 YouTube comments 9 Comments as archival records 10 Chapter 2: Comments as audience reception 12 Audience reception theory 12 Literature review: Audience reception and social media 13 Conclusion 15 Chapter 3: Acquisition of comments via the YouTube API 16 YouTube’s Data API 16 Acquisition of comments via the YouTube API 17 YouTube API quotas 17 Calculating quota for full web video collection 18 Updating comments collection 19 Distributed archiving with YouTube API case study 19 Collecting 1.4 billion YouTube annotations 19 Conclusions 20 Chapter 4: YouTube comments within FRBR-style Sound and Vision information model 21 FRBR at Sound and Vision 21 YouTube comments 25 YouTube comments as derivative and aggregate works 25 Alternative approaches 26 Option 1: Collect comments and treat them as analogue for the time being 26 Option 2: CLARIAH Media Suite 27 Option 3: Host using an open third party 28 Chapter 5: Discussion 29 Conclusions summary 29 Discussion: Issue of use cases 29 Possible use cases 30 Audience reception use case 30 2 YOUTUBE -
The Internet and Drug Markets
INSIGHTS EN ISSN THE INTERNET AND DRUG MARKETS 2314-9264 The internet and drug markets 21 The internet and drug markets EMCDDA project group Jane Mounteney, Alessandra Bo and Alberto Oteo 21 Legal notice This publication of the European Monitoring Centre for Drugs and Drug Addiction (EMCDDA) is protected by copyright. The EMCDDA accepts no responsibility or liability for any consequences arising from the use of the data contained in this document. The contents of this publication do not necessarily reflect the official opinions of the EMCDDA’s partners, any EU Member State or any agency or institution of the European Union. Europe Direct is a service to help you find answers to your questions about the European Union Freephone number (*): 00 800 6 7 8 9 10 11 (*) The information given is free, as are most calls (though some operators, phone boxes or hotels may charge you). More information on the European Union is available on the internet (http://europa.eu). Luxembourg: Publications Office of the European Union, 2016 ISBN: 978-92-9168-841-8 doi:10.2810/324608 © European Monitoring Centre for Drugs and Drug Addiction, 2016 Reproduction is authorised provided the source is acknowledged. This publication should be referenced as: European Monitoring Centre for Drugs and Drug Addiction (2016), The internet and drug markets, EMCDDA Insights 21, Publications Office of the European Union, Luxembourg. References to chapters in this publication should include, where relevant, references to the authors of each chapter, together with a reference to the wider publication. For example: Mounteney, J., Oteo, A. and Griffiths, P. -
Understanding the Value of Arts & Culture | the AHRC Cultural Value
Understanding the value of arts & culture The AHRC Cultural Value Project Geoffrey Crossick & Patrycja Kaszynska 2 Understanding the value of arts & culture The AHRC Cultural Value Project Geoffrey Crossick & Patrycja Kaszynska THE AHRC CULTURAL VALUE PROJECT CONTENTS Foreword 3 4. The engaged citizen: civic agency 58 & civic engagement Executive summary 6 Preconditions for political engagement 59 Civic space and civic engagement: three case studies 61 Part 1 Introduction Creative challenge: cultural industries, digging 63 and climate change 1. Rethinking the terms of the cultural 12 Culture, conflict and post-conflict: 66 value debate a double-edged sword? The Cultural Value Project 12 Culture and art: a brief intellectual history 14 5. Communities, Regeneration and Space 71 Cultural policy and the many lives of cultural value 16 Place, identity and public art 71 Beyond dichotomies: the view from 19 Urban regeneration 74 Cultural Value Project awards Creative places, creative quarters 77 Prioritising experience and methodological diversity 21 Community arts 81 Coda: arts, culture and rural communities 83 2. Cross-cutting themes 25 Modes of cultural engagement 25 6. Economy: impact, innovation and ecology 86 Arts and culture in an unequal society 29 The economic benefits of what? 87 Digital transformations 34 Ways of counting 89 Wellbeing and capabilities 37 Agglomeration and attractiveness 91 The innovation economy 92 Part 2 Components of Cultural Value Ecologies of culture 95 3. The reflective individual 42 7. Health, ageing and wellbeing 100 Cultural engagement and the self 43 Therapeutic, clinical and environmental 101 Case study: arts, culture and the criminal 47 interventions justice system Community-based arts and health 104 Cultural engagement and the other 49 Longer-term health benefits and subjective 106 Case study: professional and informal carers 51 wellbeing Culture and international influence 54 Ageing and dementia 108 Two cultures? 110 8. -
THE CODE of the PLATFORM Abbey Stemler* Joshua E
THE CODE OF THE PLATFORM Abbey Stemler* Joshua E. Perry** Todd Haugh*** * Assistant Professor of Business Law and Ethics, Indiana University, Kelley School of Business; Consultant, World Bank Group; Affiliate, Ostrom Workshop. ** Associate Professor of Business Law and Ethics and Glaubinger Chair for Undergraduate Leadership, Indiana University, Kelley School of Business. *** Assistant Professor of Business Law and Ethics, Indiana University, Kelley School of Business; Board Member, the Poynter Center for the Study of Ethics and American Institutions; Supreme Court Fellow, Supreme Court of the United States. The authors would like to thank Harvard Law School’s Berkman Klein Center and the World Bank Group’s Macroeconomics, Trade & Investment Climate division, as well as participants of the University of Pennsylvania Law School’s conference on the Harmonization of Business Law, the Northeast Privacy Scholars Workshop at Fordham University School of Law, and the Law and Ethics of Big Data colloquium at Babson College, for helpful comments on early drafts. THE CODE OF THE PLATFORM Abstract Digital platform-based businesses such as Uber, eBay, and Google have become ubiquitous in our daily lives. They have done so by expertly harnessing technology to bring supply and demand side users together for commercial and social exchange. Users are happy to let these platform companies play “matchmaker” because transaction costs are lowered—it is easier to find or give a ride, buy or sell a product, or obtain almost any kind of information than ever before—and platforms are happy to be at the center of the exchange, taking advantage of network effects to grow wildly successful. -
'Boxing Clever
NOVEMBER 05 2018 sandboxMUSIC MARKETING FOR THE DIGITAL ERA ISSUE 215 ’BOXING CLEVER SANDBOX SUMMIT SPECIAL ISSUE Event photography: Vitalij Sidorovic Music Ally would like to thank all of the Sandbox Summit sponsors in association with Official lanyard sponsor Support sponsor Networking/drinks provided by #MarketMusicBetter ast Wednesday (31st October), Music Ally held our latest Sandbox Summit conference in London. While we were Ltweeting from the event, you may have wondered why we hadn’t published any reports from the sessions on our site and ’BOXING CLEVER in our bulletin. Why not? Because we were trying something different: Music Ally’s Sandbox Summit conference in London, IN preparing our writeups for this special-edition sandbox report. From the YouTube Music keynote to panels about manager/ ASSOCIATION WITH LINKFIRE, explored music marketing label relations, new technology and in-house ad-buying, taking in Fortnite and esports, Ed Sheeran, Snapchat campaigns and topics, as well as some related areas, with a lineup marketing to older fans along the way, we’ve broken down the key views, stats and debates from our one-day event. We hope drawn from the sharp end of these trends. you enjoy the results. :) 6 | sandbox | ISSUE 215 | 05.11.2018 TALES OF THE ’TUBE Community tabs, premieres and curation channels cited as key tools for artists on YouTube in 2018 ensions between YouTube and the music industry remain at raised Tlevels following the recent European Parliament vote to approve Article 13 of the proposed new Copyright Directive, with YouTube’s CEO Susan Wojcicki and (the day after Sandbox Summit) music chief Lyor Cohen both publicly criticising the legislation. -
Fully Automatic Link Spam Detection∗ Work in Progress
SpamRank – Fully Automatic Link Spam Detection∗ Work in progress András A. Benczúr1,2 Károly Csalogány1,2 Tamás Sarlós1,2 Máté Uher1 1 Computer and Automation Research Institute, Hungarian Academy of Sciences (MTA SZTAKI) 11 Lagymanyosi u., H–1111 Budapest, Hungary 2 Eötvös University, Budapest {benczur, cskaresz, stamas, umate}@ilab.sztaki.hu www.ilab.sztaki.hu/websearch Abstract Spammers intend to increase the PageRank of certain spam pages by creating a large number of links pointing to them. We propose a novel method based on the concept of personalized PageRank that detects pages with an undeserved high PageRank value without the need of any kind of white or blacklists or other means of human intervention. We assume that spammed pages have a biased distribution of pages that contribute to the undeserved high PageRank value. We define SpamRank by penalizing pages that originate a suspicious PageRank share and personalizing PageRank on the penalties. Our method is tested on a 31 M page crawl of the .de domain with a manually classified 1000-page stratified random sample with bias towards large PageRank values. 1 Introduction Identifying and preventing spam was cited as one of the top challenges in web search engines in a 2002 paper [24]. Amit Singhal, principal scientist of Google Inc. estimated that the search engine spam industry had a revenue potential of $4.5 billion in year 2004 if they had been able to completely fool all search engines on all commercially viable queries [36]. Due to the large and ever increasing financial gains resulting from high search engine ratings, it is no wonder that a significant amount of human and machine resources are devoted to artificially inflating the rankings of certain web pages. -
La Sécurité Informatique Edition Livres Pour Tous (
La sécurité informatique Edition Livres pour tous (www.livrespourtous.com) PDF générés en utilisant l’atelier en source ouvert « mwlib ». Voir http://code.pediapress.com/ pour plus d’informations. PDF generated at: Sat, 13 Jul 2013 18:26:11 UTC Contenus Articles 1-Principes généraux 1 Sécurité de l'information 1 Sécurité des systèmes d'information 2 Insécurité du système d'information 12 Politique de sécurité du système d'information 17 Vulnérabilité (informatique) 21 Identité numérique (Internet) 24 2-Attaque, fraude, analyse et cryptanalyse 31 2.1-Application 32 Exploit (informatique) 32 Dépassement de tampon 34 Rétroingénierie 40 Shellcode 44 2.2-Réseau 47 Attaque de l'homme du milieu 47 Attaque de Mitnick 50 Attaque par rebond 54 Balayage de port 55 Attaque par déni de service 57 Empoisonnement du cache DNS 66 Pharming 69 Prise d'empreinte de la pile TCP/IP 70 Usurpation d'adresse IP 71 Wardriving 73 2.3-Système 74 Écran bleu de la mort 74 Fork bomb 82 2.4-Mot de passe 85 Attaque par dictionnaire 85 Attaque par force brute 87 2.5-Site web 90 Cross-site scripting 90 Défacement 93 2.6-Spam/Fishing 95 Bombardement Google 95 Fraude 4-1-9 99 Hameçonnage 102 2.7-Cloud Computing 106 Sécurité du cloud 106 3-Logiciel malveillant 114 Logiciel malveillant 114 Virus informatique 120 Ver informatique 125 Cheval de Troie (informatique) 129 Hacktool 131 Logiciel espion 132 Rootkit 134 Porte dérobée 145 Composeur (logiciel) 149 Charge utile 150 Fichier de test Eicar 151 Virus de boot 152 4-Concepts et mécanismes de sécurité 153 Authentification forte -
Towards Active SEO 2
JISTEM - Journal of Information Systems and Technology Management Revista de Gestão da Tecnologia e Sistemas de Informação Vol. 9, No. 3, Sept/Dec., 2012, pp. 443-458 ISSN online: 1807-1775 DOI: 10.4301/S1807-17752012000300001 TOWARDS ACTIVE SEO (SEARCH ENGINE OPTIMIZATION) 2.0 Charles-Victor Boutet (im memoriam) Luc Quoniam William Samuel Ravatua Smith South University Toulon-Var - Ingémédia, France ____________________________________________________________________________ ABSTRACT In the age of writable web, new skills and new practices are appearing. In an environment that allows everyone to communicate information globally, internet referencing (or SEO) is a strategic discipline that aims to generate visibility, internet traffic and a maximum exploitation of sites publications. Often misperceived as a fraud, SEO has evolved to be a facilitating tool for anyone who wishes to reference their website with search engines. In this article we show that it is possible to achieve the first rank in search results of keywords that are very competitive. We show methods that are quick, sustainable and legal; while applying the principles of active SEO 2.0. This article also clarifies some working functions of search engines, some advanced referencing techniques (that are completely ethical and legal) and we lay the foundations for an in depth reflection on the qualities and advantages of these techniques. Keywords: Active SEO, Search Engine Optimization, SEO 2.0, search engines 1. INTRODUCTION With the Web 2.0 era and writable internet, opportunities related to internet referencing have increased; everyone can easily create their virtual territory consisting of one to thousands of sites, and practically all 2.0 territories are designed to be participatory so anyone can write and promote their sites. -
GOOGLE ADVERTISING TOOLS (FORMERLY DOUBLECLICK) OVERVIEW Last Updated October 1, 2019
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
Coursera Machine Learning Andrew Ng Assignment Solution
Coursera Machine Learning Andrew Ng Assignment Solution Compartmentalized Rey nichers something, he blackbirds his pigmentation very depreciatingly. Todd sibilated acquiescingly if one Duncan interveins or reticulating. Hamel deplane viperously? But you will walk you can ask doubts of them mere hours per week that machine coursera learning andrew solution assignment solutions of certain exercises according In contrast, we can use variants of gradient descent and other optimization methods to scale to data sets of unlimited size, so for machine learning problems this approach is more practical. In my case the support was fantastic! Machine Learning Coursera second week assignment solution. Big Data Specialization from University of California San Diego is an introductory learning path for the Big Data world. Not be able to see solutions for the weekly assignments throughout the course we have to go through quiz. One of the most highly sought after skills in tech see solutions all. Google searches to figure out some of the individual things that you need to do. Recommend only one course of machine learning problem in order to apply the appropriate set of. Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning. What does the chemist obtains the coursera machine learning andrew ng assignment solution assignment is my knowledge within those languages? Will need to use Octave or MATLAB is just only one problem of the code for imports data! If you are caught cheating, your Coursera account will be deactivated and certificates voided. The classifier is likely to now have higher precision. -
Towards the Ontology Web Search Engine
TOWARDS THE ONTOLOGY WEB SEARCH ENGINE Olegs Verhodubs [email protected] Abstract. The project of the Ontology Web Search Engine is presented in this paper. The main purpose of this paper is to develop such a project that can be easily implemented. Ontology Web Search Engine is software to look for and index ontologies in the Web. OWL (Web Ontology Languages) ontologies are meant, and they are necessary for the functioning of the SWES (Semantic Web Expert System). SWES is an expert system that will use found ontologies from the Web, generating rules from them, and will supplement its knowledge base with these generated rules. It is expected that the SWES will serve as a universal expert system for the average user. Keywords: Ontology Web Search Engine, Search Engine, Crawler, Indexer, Semantic Web I. INTRODUCTION The technological development of the Web during the last few decades has provided us with more information than we can comprehend or manage effectively [1]. Typical uses of the Web involve seeking and making use of information, searching for and getting in touch with other people, reviewing catalogs of online stores and ordering products by filling out forms, and viewing adult material. Keyword-based search engines such as YAHOO, GOOGLE and others are the main tools for using the Web, and they provide with links to relevant pages in the Web. Despite improvements in search engine technology, the difficulties remain essentially the same [2]. Firstly, relevant pages, retrieved by search engines, are useless, if they are distributed among a large number of mildly relevant or irrelevant pages.