Search Engine Optimization (SEO) Techniques
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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. -
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. -
Towards Understanding Modern Web Traffic”
Towards Understanding Modern Web Traffic Sunghwan Ihm† Vivek S. Pai Department of Computer Science Department of Computer Science Princeton University Princeton University [email protected] [email protected] ABSTRACT popularity of social networking, file hosting, and video streaming As Web sites move from relatively static displays of simple pages sites [29]. These changes and growth of Web traffic are expected to rich media applications with heavy client-side interaction, the to continue, not only as the Web becomes a de facto front-end for nature of the resulting Web traffic changes as well. Understanding many emerging cloud-based services [47], but also as applications this change is necessary in order to improve response time, evalu- getmigratedtotheWeb[34]. ate caching effectiveness, and design intermediary systems, such as Understanding these changes is important for overall system de- firewalls, security analyzers, and reporting/management systems. sign. For example, analyzing end-user browsing behavior can lead Unfortunately, we have little understanding of the underlying na- to a Web traffic model, which in turn can be used to generate a syn- ture of today’s Web traffic. thetic workload for benchmarking or simulation. In addition, ana- In this paper, we analyze five years (2006-2010) of real Web traf- lyzing the redundancy and effectiveness of caching could shape the fic from a globally-distributed proxy system, which captures the design of Web servers, proxies, and browsers to improve response browsing behavior of over 70,000 daily users from 187 countries. times. In particular, since content-based caching approaches [28, Using this data set, we examine major changes in Web traffic char- 49, 50] are a promising alternative to traditional HTTP object-based acteristics that occurred during this period. -
Prospects, Leads, and Subscribers
PAGE 2 YOU SHOULD READ THIS eBOOK IF: You are looking for ideas on finding leads. Spider Trainers can help You are looking for ideas on converting leads to Marketing automation has been shown to increase subscribers. qualified leads for businesses by as much as 451%. As You want to improve your deliverability. experts in drip and nurture marketing, Spider Trainers You want to better maintain your lists. is chosen by companies to amplify lead and demand generation while setting standards for design, You want to minimize your list attrition. development, and deployment. Our publications are designed to help you get started, and while we may be guilty of giving too much information, we know that the empowered and informed client is the successful client. We hope this white paper does that for you. We look forward to learning more about your needs. Please contact us at 651 702 3793 or [email protected] . ©2013 SPIDER TRAINERS PAGE 3 TAble Of cOnTenTS HOW TO cAPTure SubScriberS ...............................2 HOW TO uSe PAiD PrOGrAMS TO GAin Tipping point ..................................................................2 SubScriberS ...........................................................29 create e mail lists ...........................................................3 buy lists .........................................................................29 Pop-up forms .........................................................4 rent lists ........................................................................31 negative consent -
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. -
Clique-Attacks Detection in Web Search Engine for Spamdexing Using K-Clique Percolation Technique
International Journal of Machine Learning and Computing, Vol. 2, No. 5, October 2012 Clique-Attacks Detection in Web Search Engine for Spamdexing using K-Clique Percolation Technique S. K. Jayanthi and S. Sasikala, Member, IACSIT Clique cluster groups the set of nodes that are completely Abstract—Search engines make the information retrieval connected to each other. Specifically if connections are added task easier for the users. Highly ranking position in the search between objects in the order of their distance from one engine query results brings great benefits for websites. Some another a cluster if formed when the objects forms a clique. If website owners interpret the link architecture to improve ranks. a web site is considered as a clique, then incoming and To handle the search engine spam problems, especially link farm spam, clique identification in the network structure would outgoing links analysis reveals the cliques existence in web. help a lot. This paper proposes a novel strategy to detect the It means strong interconnection between few websites with spam based on K-Clique Percolation method. Data collected mutual link interchange. It improves all websites rank, which from website and classified with NaiveBayes Classification participates in the clique cluster. In Fig. 2 one particular case algorithm. The suspicious spam sites are analyzed for of link spam, link farm spam is portrayed. That figure points clique-attacks. Observations and findings were given regarding one particular node (website) is pointed by so many nodes the spam. Performance of the system seems to be good in terms of accuracy. (websites), this structure gives higher rank for that website as per the PageRank algorithm. -
SEO Techniques for Various Applications - a Comparative Analyses and Evaluation
IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661,p-ISSN: 2278-8727 PP 20-24 www.iosrjournals.org SEO Techniques for various Applications - A Comparative Analyses and Evaluation Sandhya Dahake1, Dr. V. M. Thakare2 , Dr. Pradeep Butey3 1([email protected], G.H.R.I.T., Nagpur, RTM Nagpur University, India) 2([email protected] , P.G. Dept of Computer Science, SGB Amravati University, Amravati, India) 3([email protected], Head, Dept of Computer Science, Kamla Nehru College, Nagpur, India) Abstract : In this information times, the website management is becoming hot topic and search engine has more influence on website. So many website managers are trying o make efforts for Search Engine Optimization (SEO). In order to make search engine transfer information efficiently and accurately, to improve web search ranking different SEO techniques are used. The purpose of this paper is a comparative study of applications of SEO techniques used for increasing the page rank of undeserving websites. With the help of specific SEO techniques, SEO committed to optimize the website to increase the search engine ranking and web visits number and eventually to increase the ability of selling and publicity through the study of how search engines scrape internet page and index and confirm the ranking of the specific keyword. These technique combined page rank algorithm which helps to discover target page. Search Engine Optimization, as a kind of optimization techniques, which can promote website’s ranking in the search engine, also will get more and more attention. Therefore, the continuous technology improvement on network is also one of the focuses of search engine optimization. -
Challenges in Web Search Engines
Challenges in Web Search Engines Monika R. Henzinger Rajeev Motwani* Craig Silverstein Google Inc. Department of Computer Science Google Inc. 2400 Bayshore Parkway Stanford University 2400 Bayshore Parkway Mountain View, CA 94043 Stanford, CA 94305 Mountain View, CA 94043 [email protected] [email protected] [email protected] Abstract or a combination thereof. There are web ranking optimiza• tion services which, for a fee, claim to place a given web site This article presents a high-level discussion of highly on a given search engine. some problems that are unique to web search en• Unfortunately, spamming has become so prevalent that ev• gines. The goal is to raise awareness and stimulate ery commercial search engine has had to take measures to research in these areas. identify and remove spam. Without such measures, the qual• ity of the rankings suffers severely. Traditional research in information retrieval has not had to 1 Introduction deal with this problem of "malicious" content in the corpora. Quite certainly, this problem is not present in the benchmark Web search engines are faced with a number of difficult prob• document collections used by researchers in the past; indeed, lems in maintaining or enhancing the quality of their perfor• those collections consist exclusively of high-quality content mance. These problems are either unique to this domain, or such as newspaper or scientific articles. Similarly, the spam novel variants of problems that have been studied in the liter• problem is not present in the context of intranets, the web that ature. Our goal in writing this article is to raise awareness of exists within a corporation. -
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ENISA Position Paper No. 2 Reputation-based Systems: a security analysis Editors: Elisabetta Carrara and Giles Hogben, ENISA October 2007 Reputation-based Systems ENISA Position Papers represent expert opinion on topics ENISA considers to be important emerging risks or key security components. They are produced as the result of discussion among a group of experts who were selected for their knowledge in the area. The content was collected via wiki, mailing list and telephone conferences and edited by ENISA. This paper aims to provide a useful introduction to security issues affecting Reputation-based Systems by identifying a number of possible threats and attacks, highlighting the security requirements that should be fulfilled by these systems and providing recommendations for action and best practices to reduce the security risks to users. Examples are given from a number of providers throughout the paper. These should be taken as examples only and there is no intention to single out a specific provider for criticism or praise. The examples provided are not necessarily those most representative or important, nor is the aim of this paper to conduct any kind of market survey, as there might be other providers which are not mentioned here and nonetheless are equally or more representative of the market. Audience This paper is aimed at providers, designers, research and standardisation communities, government policy-makers and businesses. ENISA Position Paper No.2 Reputation-based Systems: a security analysis 1 Reputation-based Systems EXECUTIVE -
Search Engine Optimization (SEO)
SEO 360: The Essentials of Search Engine Optimization By Chris Adams, Director of Online Marketing & Research INTRODUCTION Effective Search Engine Optimization is not a highly technical or complex task, if you get the basics right: Invest in relevant, quality content Follow best practices in optimizing the content Update your site frequently with relevant content Leverage social media and Search Engine Marketing (SEM) efforts Manage the entire process with analytics, refining and improving the process based on results We call it SEO 360⁰; whatever you call it, it is likely to be your lowest-cost, highest-quality site traffic. Strong organic web traffic comes from great, well-optimized content so search engines and travelers can easily find and understand it. This whitepaper focuses on the essential best practices. CONTENTS A. THE IMPORTANCE OF SEARCH ENGINE TRAFFIC B. THE ESSENTIAL SIX BUILDING BLOCKS OF SEO C. WHY SEO 360⁰? D. THE SIX BUILDING BLOCKS OF SEO EXPLAINED E. WHAT'S NEXT? F. THE ESSENTIAL SEO TOOL KIT Figure 1. Strong organic traffic (from search engine referrals) underpins the reach and audience of most travel and tourism websites milespartnership.com | Whitepaper ©2012 Miles Media Group, LLLP Measure & Market: An Online Analytics Framework 2 By Chris Adams, Director of Online Media A. The Importance of Search Engine Traffic Search Engine Optimization (SEO) is the process of making your website and its content highly visible to search engines, ranking well in relevant searches, and boosting organic traffic to your Figure 2. Search engine traffic dominates the way in which travelers find destination (and other tourism) web sites. -
Build Backlinks to Boost Your Dermatology SEO
>>MARKETING MATTERS Build Backlinks to Boost Your Dermatology SEO Understand why backlinks matter. And how to get them. BY NAREN ARULRAJAH The list of ways to optimize your dermatology web- without a “no follow” tag. So, what does a high-quality back- >> site’s search engine performance is virtually endless. link look like? You can improve your content, design, keywords, metatags, • Earned. A local beauty blogger might write about get- page loading time, site structure, and more. However, the ting Botox in your office, or a news article might list reality is that on-site SEO (search engine optimization) is you as keynote speaker at an upcoming conference. In only part of the picture. If you want stellar website perfor- either example, the article author may naturally include mance, you need to take your SEO efforts off-site. a link to your website. You didn’t request it, you earned it. Naturally, Google prefers these types of links. THE POWER OF INBOUND LINKS • Professionally relevant. This goes to establishing Backlinks matter to Google. Those from reputable, rel- authority in your niche. Maybe a well-known athlete evant websites can improve your search ranking. On the mentioned getting acne treatment at your practice, other hand, poor quality links can potentially have a nega- which earns you a link from a sports news website. That tive effect. is good, but it would carry much more weight with To understand how Google views links, just think of Google if it were a medical or beauty website. your favorite social media platform. Imagine you see a • Locally relevant. -
A Survey on Search Engine Optimization (SEO)
Int'l Journal of Computing, Communications & Instrumentation Engg. (IJCCIE) Vol. 4, Issue 1 (2017) ISSN 2349-1469 EISSN 2349-1477 A Survey on Search Engine Optimization (SEO) Anis ISMAIL and Firas ABDALLAH Abstract— With the growth of Internet in the recent years, search engine such as Google, Bing and Yahoo are becoming more and more important. The role of the search engines is to index billions of web pages and display only the most relevant results for a given search query. When creating the website, many webmasters forget to take into consideration an essential factor, which is making the world aware of their website. Most of times, main focus is set on making the website as user-friendly as possible, stable, fast and secure. In this paper, we present may techniques that are sometimes useless. The aim of these techniques is to verify if the website does not have visitors or simply not found. Fig. 1.Different SEO Techniques [3] Most of the times, SEO is just simply a method of building Keywords—Internet, Google, Bing, Yahoo, search engines, the structure of the website in a way that it will allow search SEO. engines to understand what the website is all about. The majority of the web visitors are driven to websites by search I. INTRODUCTION engines such as Google, Bing and Yahoo. Despite the fact that Search engine is an application used to help find information social media such as Facebook, Twitter and even Youtube and on the internet. The search engine is usually accessed through a many others can still be the source of visitors to a website, page on a website that allows a user to search the content of search engines remains the primary method of locating and billions of websites on the web by entering a set of keywords into a search textbox [1].