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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. -
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. -
Understanding and Combating Link Farming in the Twitter Social Network
Understanding and Combating Link Farming in the Twitter Social Network Saptarshi Ghosh Bimal Viswanath Farshad Kooti IIT Kharagpur, India MPI-SWS, Germany MPI-SWS, Germany Naveen K. Sharma Gautam Korlam Fabricio Benevenuto IIT Kharagpur, India IIT Kharagpur, India UFOP, Brazil Niloy Ganguly Krishna P. Gummadi IIT Kharagpur, India MPI-SWS, Germany ABSTRACT Web, such as current events, news stories, and people’s opin- Recently, Twitter has emerged as a popular platform for ion about them. Traditional media, celebrities, and mar- discovering real-time information on the Web, such as news keters are increasingly using Twitter to directly reach au- stories and people’s reaction to them. Like the Web, Twitter diences in the millions. Furthermore, millions of individual has become a target for link farming, where users, especially users are sharing the information they discover over Twit- spammers, try to acquire large numbers of follower links in ter, making it an important source of breaking news during the social network. Acquiring followers not only increases emergencies like revolutions and disasters [17, 23]. Recent the size of a user’s direct audience, but also contributes to estimates suggest that 200 million active Twitter users post the perceived influence of the user, which in turn impacts 150 million tweets (messages) containing more than 23 mil- the ranking of the user’s tweets by search engines. lion URLs (links to web pages) daily [3,28]. In this paper, we first investigate link farming in the Twit- As the information shared over Twitter grows rapidly, ter network and then explore mechanisms to discourage the search is increasingly being used to find interesting trending activity. -
Seo On-Page Optimization
SEO ON-PAGE OPTIMIZATION Equipping Your Website to Become a Powerful Marketing Platform Copyright 2016 SEO GLOBAL MEDIA TABLE OF CONTENTS Introduction 01 Chapter I Codes, Tags, and Metadata 02 Chapter II Landing Pages and Buyer Psychology 06 Chapter III Conclusion 08 Copyright 2016 SEO GLOBAL MEDIA INTRODUCTION Being indexed and ranked on the search engine results pages (SERPs) depends on many factors, beginning with the different elements on each of your website. Optimizing these factors helps search engine crawlers find your website, index the pages appropriately , and rank it according to your desired keywords. On-page optimization plays a big role in ensuring your online marketing campaign's success. In this definitive guide, you will learn how to successfully optimize your website to ensure that your website is indexed and ranked on the SERPs. In addition you’ll learn how to make your web pages convert. Copyright 2016 SEO GLOBAL MEDIA SEO On-Page Optimization | 1 CODES, MARK-UPS, AND METADATA Let’s get technical Having clean codes, optimized HTML tags and metadata helps search engines crawl your site better and index and rank your pages according to the relevant search terms. Make sure to check the following: Source Codes Your source code is the backbone of your website. The crawlers finds everything it needs in order to index your website here. Make sure your source code is devoid of any problems by checking the following: INCORRECTLY IMPLEMENTED TAGS: Examples of these are re=canonical tags, authorship mark-up, or redirects. These could prove catastrophic, especially the canonical code, which can end up in duplicate content penalties. -
Adversarial Web Search by Carlos Castillo and Brian D
Foundations and TrendsR in Information Retrieval Vol. 4, No. 5 (2010) 377–486 c 2011 C. Castillo and B. D. Davison DOI: 10.1561/1500000021 Adversarial Web Search By Carlos Castillo and Brian D. Davison Contents 1 Introduction 379 1.1 Search Engine Spam 380 1.2 Activists, Marketers, Optimizers, and Spammers 381 1.3 The Battleground for Search Engine Rankings 383 1.4 Previous Surveys and Taxonomies 384 1.5 This Survey 385 2 Overview of Search Engine Spam Detection 387 2.1 Editorial Assessment of Spam 387 2.2 Feature Extraction 390 2.3 Learning Schemes 394 2.4 Evaluation 397 2.5 Conclusions 400 3 Dealing with Content Spam and Plagiarized Content 401 3.1 Background 402 3.2 Types of Content Spamming 405 3.3 Content Spam Detection Methods 405 3.4 Malicious Mirroring and Near-Duplicates 408 3.5 Cloaking and Redirection 409 3.6 E-mail Spam Detection 413 3.7 Conclusions 413 4 Curbing Nepotistic Linking 415 4.1 Link-Based Ranking 416 4.2 Link Bombs 418 4.3 Link Farms 419 4.4 Link Farm Detection 421 4.5 Beyond Detection 424 4.6 Combining Links and Text 426 4.7 Conclusions 429 5 Propagating Trust and Distrust 430 5.1 Trust as a Directed Graph 430 5.2 Positive and Negative Trust 432 5.3 Propagating Trust: TrustRank and Variants 433 5.4 Propagating Distrust: BadRank and Variants 434 5.5 Considering In-Links as well as Out-Links 436 5.6 Considering Authorship as well as Contents 436 5.7 Propagating Trust in Other Settings 437 5.8 Utilizing Trust 438 5.9 Conclusions 438 6 Detecting Spam in Usage Data 439 6.1 Usage Analysis for Ranking 440 6.2 Spamming Usage Signals 441 6.3 Usage Analysis to Detect Spam 444 6.4 Conclusions 446 7 Fighting Spam in User-Generated Content 447 7.1 User-Generated Content Platforms 448 7.2 Splogs 449 7.3 Publicly-Writable Pages 451 7.4 Social Networks and Social Media Sites 455 7.5 Conclusions 459 8 Discussion 460 8.1 The (Ongoing) Struggle Between Search Engines and Spammers 460 8.2 Outlook 463 8.3 Research Resources 464 8.4 Conclusions 467 Acknowledgments 468 References 469 Foundations and TrendsR in Information Retrieval Vol. -
Link Spam Detection Based on Mass Estimation
Link Spam Detection Based on Mass Estimation ∗ Zoltan Gyongyi Pavel Berkhin Computer Science Department Yahoo! Inc. Stanford University 701 First Avenue Stanford, CA 94305, USA Sunnyvale, CA 94089, USA [email protected] [email protected] Hector Garcia-Molina Jan Pedersen Computer Science Department Yahoo! Inc. Stanford University 701 First Avenue Stanford, CA 94305, USA Sunnyvale, CA 94089, USA [email protected] [email protected] ABSTRACT tivity remains largely undetected by search engines, often Link spamming intends to mislead search engines and trig- manage to obtain very high rankings for their spam pages. ger an artificially high link-based ranking of specific target web pages. This paper introduces the concept of spam mass, This paper proposes a novel method for identifying the largest a measure of the impact of link spamming on a page’s rank- and most sophisticated spam farms, by turning the spam- ing. We discuss how to estimate spam mass and how the es- mers’ ingenuity against themselves. Our focus is on spam- timates can help identifying pages that benefit significantly ming attempts that target PageRank. We introduce the from link spamming. In our experiments on the host-level concept of spam mass, a measure of how much PageRank a Yahoo! web graph we use spam mass estimates to success- page accumulates through being linked to by spam pages. fully identify tens of thousands of instances of heavy-weight The target pages of spam farms, whose PageRank is boosted link spamming. by many spam pages, are expected to have a large spam mass. At the same time, popular reputable pages, which have high PageRank because other reputable pages point to 1. -
PIA National Agency Marketing Guide!
Special Report: Agents’ Guide to Internet Marketing PIA National Agency Marketing Guide2011 Brought to you by these sponsors: A product of the PIA Branding Program Seaworthy Insurance... The Choice When It Comes To Security And Superior Service In Marine Coverage n Featuring policies for pleasure boats, yachts, super yachts and commercial charter boats n Excellent claims service provided by boating experts, including 24-hour dispatch of assistance n Competitive commission structure and low premium volume commitment n Web-based management system allows agents to quote, bind, track commissions and claims status online, any time Become a Seaworthy Agency today, visit www.seaworthyinsurance.com or call toll-free 1-877-580-2628 PIA National Marketing Guide_7x9.5live.indd 1 4/21/11 3:31 PM elcome to the second edition of the PIA National Agency Marketing Guide! The 2011 edition of this PIA Branding Program publication follows the highly Wacclaimed 2010 edition, which focused on agent use of social media. While social media continues to be of major interest to agents across America, many of the questions coming in to PIA National’s office this year had to do with the Internet. PIA mem- bers wanted to know how to best position their agency website, how to show up in search engines, how to use email marketing, and more. Our special report, the Agents’ Guide to Internet Marketing, helps to answer these questions. Whether you handle most of your agency’s marketing in-house, or whether you outsource many of these functions, you’ll find a treasure trove of things to implement, things to consider and things to watch out for. -
SEO - What Are the BIG Things to Get Right? Keyword Research – You Must Focus on What People Search for - Not What You Want Them to Search For
Search Engine Optimization SEO - What are the BIG things to get right? Keyword Research – you must focus on what people search for - not what you want them to search for. Content – Extremely important - #2. Page Title Tags – Clearly a strong contributor to good rankings - #3 Usability – Obviously search engine robots do not know colors or identify a ‘call to action’ statement (which are both very important to visitors), but they do see broken links, HTML coding errors, contextual links between pages and download times. Links – Numbers are good; but Quality, Authoritative, Relevant links on Keyword-Rich anchor text will provide you the best improvement in your SERP rankings. #1 Keyword Research: The foundation of a SEO campaign is accurate keyword research. When doing keyword research: Speak the user's language! People search for terms like "cheap airline tickets," not "value-priced travel experience." Often, a boring keyword is a known keyword. Supplement brand names with generic terms. Avoid "politically correct" terminology. (example: use ‘blind users’ not ‘visually challenged users’). Favor legacy terms over made-up words, marketese and internal vocabulary. Plural verses singular form of words – search it yourself! Keywords: Use keyword search results to select multi-word keyword phrases for the site. Formulate Meta Keyword tag to focus on these keywords. Google currently ignores the tag as does Bing, however Yahoo still does index the keyword tag despite some press indicating otherwise. I believe it still is important to include one. Why – what better place to document your work and it might just come back into vogue someday. List keywords in order of importance for that given page. -
Henry Bramwell, President, Visionary Graphics
#sbdcbootcamp Understanding who our target audience is and where they spend their time, you can build an organic presence by focusing on content that speaks to their needs and wants. What Is SEO? Search engine optimization (SEO) is the process of affecting the visibility of a website or a web page in a search engine's unpaid results—often referred to as "natural," "organic," or "earned" results. SEO Approach BLACK HAT WHITE HAT Black Hat SEO • Exploits weaknesses in search engine algorithms to obtain high rankings for a website. • Keyword Stuffing, Cloaking, Hidden Text and links and Link Spam. • Quick, unpredictable and short-lasting growth in rankings. White Hat SEO • Utilize techniques and methods to improve search rankings in accordance with the Search Engine’s Guidelines. • High quality content, website HTML optimization, relevant inbound links, social authority . • Steady, gradual, last growth in rankings. Meta Tags Meta Tags explain to search engines and (sometimes) searchers themselves what your page is about. Meta Tags are inserted into every page of your website code. How SEO Has Changed OLD SEO NEW SEO Focus on singular Focus on long tail keyword keywords, keyword intent and searcher’s needs How SEO Has Changed • When search engines were first created, early search marketers were able to easily find ways to make the search engine think that their client's site was the one that should rank well. • In some cases it was as simple as putting in some code on the website called a meta keywords tag. The meta keywords tag would tell search engines what the page was about.