SEO Strategy and Implementation for Industrial Pump Company Number of Pages 75 Pages + 2 Appendices Date 15 August 2016
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Google Overview Created by Phil Wane
Google Overview Created by Phil Wane PDF generated using the open source mwlib toolkit. See http://code.pediapress.com/ for more information. PDF generated at: Tue, 30 Nov 2010 15:03:55 UTC Contents Articles Google 1 Criticism of Google 20 AdWords 33 AdSense 39 List of Google products 44 Blogger (service) 60 Google Earth 64 YouTube 85 Web search engine 99 User:Moonglum/ITEC30011 105 References Article Sources and Contributors 106 Image Sources, Licenses and Contributors 112 Article Licenses License 114 Google 1 Google [1] [2] Type Public (NASDAQ: GOOG , FWB: GGQ1 ) Industry Internet, Computer software [3] [4] Founded Menlo Park, California (September 4, 1998) Founder(s) Sergey M. Brin Lawrence E. Page Headquarters 1600 Amphitheatre Parkway, Mountain View, California, United States Area served Worldwide Key people Eric E. Schmidt (Chairman & CEO) Sergey M. Brin (Technology President) Lawrence E. Page (Products President) Products See list of Google products. [5] [6] Revenue US$23.651 billion (2009) [5] [6] Operating income US$8.312 billion (2009) [5] [6] Profit US$6.520 billion (2009) [5] [6] Total assets US$40.497 billion (2009) [6] Total equity US$36.004 billion (2009) [7] Employees 23,331 (2010) Subsidiaries YouTube, DoubleClick, On2 Technologies, GrandCentral, Picnik, Aardvark, AdMob [8] Website Google.com Google Inc. is a multinational public corporation invested in Internet search, cloud computing, and advertising technologies. Google hosts and develops a number of Internet-based services and products,[9] and generates profit primarily from advertising through its AdWords program.[5] [10] The company was founded by Larry Page and Sergey Brin, often dubbed the "Google Guys",[11] [12] [13] while the two were attending Stanford University as Ph.D. -
Thessaloniki, Greece Msc in Management
Thessaloniki, Greece MSc in Management MASTER DISSERTATION SILICON VALLEY, SUCCESS AND FAILURE Saule Mukhamejanova ID: 1102100051 Supervisor: Pr. Vangelis Souitaris September 2011 Table of Contents Abstract………………………………………………………………………..................3 Acknowledgements……………………………………………………………………....4 Chapter 1 1.1 Introduction……………………………………………………………………..........5 1.2 Global Entrepreneurship……………………………………………………………...5 1.3 Objectives of the study………………………………………………………………..9 1.4 Scope of analysis…………………………………………………………………...…9 1.5 Plan of analysis………………………………………………………………….…...10 Chapter 2, Literature Review 2.1 Introduction………………………………………………………………………......10 2.2. Start-up companies………………………………………………………………......10 2.3 Funding for start-ups………………………………………………………………....11 2.3.1. Angel investors…………………………………………………………………....11 2.3.2. VC (venture capitalists)……………………………………………………….......13 2.3.3. Other ways of funding………………………………………………………….....16 2.4. Search engine companies……………………………………………………………17 Chapter 3, Methodology 3.1 Introduction………………………………………………………………………......20 3.2 Research Method…………………………………………………………………......20 3.3 Case study, Context of the study: Silicon Valley ………………………………...…...20 FINDINGS 3.3.1. Introduction……………………………………………………………………......22 3.3.2. Within case study analysis………………………………...………………………23 3.3.3. Cross-case analyses……………………………………………………………......26 Chapter 4, Conclusion and recommendations 4.1 Summary……………………………………………………………………………..28 4.2 Limitations of study……………………………………………………………….....30 Chapter 5 5.1 Contribution of the -
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International Journal of Management & Information Systems – Fourth Quarter 2011 Volume 15, Number 4 History Of Search Engines Tom Seymour, Minot State University, USA Dean Frantsvog, Minot State University, USA Satheesh Kumar, Minot State University, USA ABSTRACT As the number of sites on the Web increased in the mid-to-late 90s, search engines started appearing to help people find information quickly. Search engines developed business models to finance their services, such as pay per click programs offered by Open Text in 1996 and then Goto.com in 1998. Goto.com later changed its name to Overture in 2001, and was purchased by Yahoo! in 2003, and now offers paid search opportunities for advertisers through Yahoo! Search Marketing. Google also began to offer advertisements on search results pages in 2000 through the Google Ad Words program. By 2007, pay-per-click programs proved to be primary money-makers for search engines. In a market dominated by Google, in 2009 Yahoo! and Microsoft announced the intention to forge an alliance. The Yahoo! & Microsoft Search Alliance eventually received approval from regulators in the US and Europe in February 2010. Search engine optimization consultants expanded their offerings to help businesses learn about and use the advertising opportunities offered by search engines, and new agencies focusing primarily upon marketing and advertising through search engines emerged. The term "Search Engine Marketing" was proposed by Danny Sullivan in 2001 to cover the spectrum of activities involved in performing SEO, managing paid listings at the search engines, submitting sites to directories, and developing online marketing strategies for businesses, organizations, and individuals. -
Web Search Engine
Web Search Engine Bosubabu Sambana, MCA, M.Tech Assistant Professor, Dept of Computer Science & Engineering, Simhadhri Engineering College, Visakhapatnam, AP-531001, India. Abstract: This hypertext pool is dynamically changing due to this reason it is more difficult to find useful The World Wide Web (WWW) allows people to share information.In 1995, when the number of “usefully information or data from the large database searchable” Web pages was a few tens of millions, it repositories globally. We need to search the was widely believed that “indexing the whole of the information with specialized tools known generically Web” was already impractical or would soon become as search engines. There are many search engines so due to its exponential growth. A little more than a available today, where retrieving meaningful decade later, the GYM search engines—Google, information is difficult. However to overcome this problem of retrieving meaningful information Yahoo!, and Microsoft—are indexing almost a intelligently in common search engines, semantic thousand times as much data and between them web technologies are playing a major role. In this providing reliable sub second responses to around a paper we present a different implementation of billion queries a day in a plethora of languages. If this semantic search engine and the role of semantic were not enough, the major engines now provide much relatedness to provide relevant results. The concept higher quality answers. of Semantic Relatedness is connected with Wordnet which is a lexical database of words. We also For most searchers, these engines do a better job of made use of TF-IDF algorithm to calculate word ranking and presenting results, respond more quickly frequency in each and every webpage and to changes in interesting content, and more effectively Keyword Extraction in order to extract only useful eliminate dead links, duplicate pages, and off-topic keywords from a huge set of words. -
Comparative Study of Search Engines
“COMPARATIVE STUDY OF SEARCH ENGINES USEFUL FOR LIBRARIANS” A Dissertation Submitted to the Tilak Maharashtra Vidyapeeth, Pune For Master of Philosophy (M.Phil.) In LIBRARY AND INFORMATION SCIENCE Submitted By Mr. SUSHANT KORE Under the Guidance of Dr. N. B. DAHIBHATE Principal Technical Officer Information Division (DIRC) National Chemical Laboratory, Pune TILAK MAHARASHTRA VIDYAPETH DEPARTMENT OF LIBRARY AND INFORMATION SCIENCE PUNE - 411 037. December, 2014 DECLARATION I hereby declare that the dissertation entitled “Comparative study of search engines useful for librarians” completed by me for the degree of Master of Philosophy in library and Information Science. The entire work embodied in this thesis has been carried out by me under the guidance of Dr. N.B. Dahibhate, National Chemical Laboratory, and Digital Information Resource Center (DIRC), Pune. (Mr. Sushant Kore) Research Student (M.Phil.) Place: Pune Date: 26th December, 2014 CERTIFICATE This is to certify that the thesis entitled “Comparative study of search engines useful for librarians” which is being submitted herewith for the award of the Degree of Master of Philosophy (M.Phil.) in Library and Information Science of Tilak Maharashtra Vidyapeeth, Pune is the result of original research work completed by Mr. Sushant Kore under my supervision and guidance. To the best of my knowledge and belief the work incorporated in this thesis has not formed the basis for award of any Degree or similar title of this or any other University or examining body. (Dr. N.B. Dahibhate) Principal Technical Officer Information Division (DIRC) NCL, Pune Place: Pune Date: 26th December , 2014 ACKNOWLEDGEMENT I am very thankful to my respectable parents for their kind support in my life as well as completing my dissertation and bringing me to this stage in the educational field. -
Science Search Engines to Mine Scientific Information from the Information Superhighway
© eScience World J. Lib. Inf. & Comm. Tech. ISSN: 0975-3168 Vol. 2: (1-2) June,2010 SCIENCE SEARCH ENGINES TO MINE SCIENTIFIC INFORMATION FROM THE INFORMATION SUPERHIGHWAY G. Rathinasabapathy 1, L.Rajendran 2, J. Arumugam 3 and M.S. Prem Raj 4 *** ABSTRACT The Internet is a huge network of millions of computer networks spread across the globe and the information available on the network is increasing in a fast manner. Especially, the scientific information available on the Internet is increasing steadily. Though the major search engines available on the Internet to search across the information superhighway viz., Google, Alta Vista, Ask, Bing, Cuil, Duck Duck Go, Kosmix, Yebo, etc., are very efficient search tools, there are some special scientific search engines available on the Information Superhighway which will produce more relevant and effective results for those who are searching scientific information on the Internet. In this context, a thorough search has been made using various general purpose search engines including Google, science directories and portals. The results had been consolidated, duplication eliminated and unique search engines are tabulated with their name and URLs. This paper attempts to profile some of the important science search engines available on the Information Superhighway useful for students, research scholars, faculty and scientists who are using the Internet for scientific information retrieval. Keywords: Internet, Science Search Engines, Scientific search, Gateways, Portals ------------------------------------------------------------------------------------------------------------ Internet The Internet plays a vital role in all walks of life and it powerfully leverages our ability to find, manage, and share information. Never before in human history has such a valuable resource been available to so many people at such little cost. -
Almarri Hamda Thesis.Pdf
WestminsterResearch http://www.westminster.ac.uk/westminsterresearch Semantic Selection of Internet Sources through SWRL Enabled OWL Ontologies Almarri, H. This is an electronic version of a PhD thesis awarded by the University of Westminster. © Miss Hamda Almarri, 2017. The WestminsterResearch online digital archive at the University of Westminster aims to make the research output of the University available to a wider audience. Copyright and Moral Rights remain with the authors and/or copyright owners. Whilst further distribution of specific materials from within this archive is forbidden, you may freely distribute the URL of WestminsterResearch: ((http://westminsterresearch.wmin.ac.uk/). In case of abuse or copyright appearing without permission e-mail [email protected] Semantic Selection of Internet Sources through SWRL Enabled OWL Ontologies Hamda Mohammad O. S. Binghubash Almarri University of Westminster June 2017 A thesis submitted in partial fulfilment of the requirements of the University of Westminster for the degree of Doctor of Philosophy ABSTRACT This research examines the problem of Information Overload (IO) and give an overview of various attempts to resolve it. Furthermore, argue that instead of fighting IO, it is advisable to start learning how to live with it. It is unlikely that in modern information age, where users are producer and consumer of information, the amount of data and information generated would decrease. Furthermore, when managing IO, users are confined to the algorithms and policies of commercial Search Engines and Recommender Systems (RSs), which create results that also add to IO. this research calls to initiate a change in thinking: this by giving greater power to users when addressing the relevance and accuracy of internet searches, which helps in IO. -
Behind the Search Box: the Political Economy of a Global Internet Industry
BEHIND THE SEARCH BOX: THE POLITICAL ECONOMY OF A GLOBAL INTERNET INDUSTRY BY SHINJOUNG YEO DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Library and Information Science in the Graduate College of the University of Illinois at Urbana-Champaign, 2015 Urbana, Illinois Doctoral Committee: Professor Dan Schiller, Chair Professor Linda Smith Professor Christian Sandvig, University of Michigan Professor Fred Turner, Stanford University Abstract With the rapid proliferation of the Web, the search engine constituted an increasingly vital tool in everyday life, and offered technical capabilities that might have lent themselves under different circumstances to a sweeping democratization of information provision and access. Instead the search function was transformed into the most profitable large-scale global information industry. This dissertation examines the evolution of search engine technologies within the context of the commercialization and commodification of the Internet. Grounded in critical political economy, the research details how capital has progressively shifted information search activities further into the market, transforming them into sites of profit-making and poles of capitalist growth. It applies historical and political economic analysis by resorting to an extensive array of sources including trade journals, government documents, industry reports, and financial and business newspapers. The first chapter situates the development of the search engine within the wider political economy of the Internet industry. The second shows how the technology of search was reorganized to enable profitable accumulation. The third and fourth chapters focus on another primary concern of political economy: the labor structures and labor processes that typify this emergent industry. -
Powrót Do Idei Sprzed Lat: Idea Swobodnego Przepływu Informacji
Uniwersytet Warszawski Wydział Dziennikarstwa i Nauk Politycznych mgr Michał Olędzki Udział wyszukiwarek internetowych w realizacji idei swobodnego przepływu informacji. Analiza działalności wyszukiwarki Google Rozprawa doktorska napisana pod kierunkiem prof. dr. hab. Wiesława Władyki Warszawa 2016 Ten utwór jest dostępny na licencji Creative Commons Uznanie autorstwa 3.0 Polska (CC-BY) Spis treści Wprowadzenie ..................................................................................................................... 4 Rozdział 1. Idea swobodnego przepływu informacji ...................................................... 15 1.1. Historia koncepcji swobodnego przepływu informacji .............................................. 15 1.1.1. Początki idei swobodnego przepływu informacji .......................................... 17 1.1.2. Idea zrównoważonego przepływu informacji – kontrpropozycja krajów Trzeciego Świata i państw bloku sowieckiego .............................................. 19 1.1.3. Współczesna koncepcja swobodnego przepływu informacji ........................ 22 1.2. Swobodny przepływ informacji w dobie Internetu .................................................... 28 1.2.1. Formy realizacji idei swobodnego przepływu informacji w dobie Internetu 35 1.2.2. Ruchy społeczne na rzecz realizowania idei swobodnego przepływu informacji na świecie ..................................................................................... 41 1.2.3. Przeszkody w realizacji idei swobodnego przepływu informacji na świecie za pomocą -
1. (0.00 Pts) Please Go To
C - Division C - Cybersecurity - SO Practice November 7, 2020 - Nov 7 Country-wide SO Practice - 11-07-2020 Please open all links in a new tab/window otherwise you will go out of the test. This is Part I of the test. Before starting the test, please ensure that you have created an account at https://www.hackerrank.com/ (https://www.hackerrank.com/) and are familiar with ho to use it. 1. (0.00 pts) Please go to https://www.hackerrank.com/so-p-c-1604795400 (https://www.hackerrank.com/so-p-c-1604795400) (https://www.hackerrank.com/so-p-b-1604766600) to participate in the hands-on portion of the competition. Please note that for that portion, answers submitted within 50 minutes from the start of this test will be counted. Neither the answers submitted beforehand OR afterwards. Please provide the username for the answers to be graded answers. If you provide two or more usernames, then only the first one will be used If a user with the username is not found, then your team will get 0 points for that portion of the competition. It is your responsibility not to share the username with anyone else. If ther are two or more teams providing same username, both teams will lose the hands-on portion points. Expected Answer: 2. (1.00 pts) 1. Name at least 2 ways the hash of a value can be tested for integrity. They need not be part of the hashed value. Expected Answer: CRC, Checksum, Check Digits, 3. (1.00 pts) 1. -
Technologies Du Web Master COMASIC Search Engines
Introduction Crawling Indexing PageRank Business Innovation . Technologies du Web Master COMASIC Search Engines . Antoine Amarilli1 October 10, 2013 1Course material adapted from the slides of the Web Data Management book, http://webdam.inria.fr/Jorge/files/slwebsearch.pdf. Thanks to Pierre Senellart for proofreading this. 1/54 Introduction Crawling Indexing PageRank Business Innovation . Search engines In the very beginning: centralized list of Web servers. Later: only links (and URL exchange) to find information! Early efforts: Wanderer, W3Catalog (1993). First search engine with crawling, indexing and searching: JumpStation (December 1993). All text indexing: WebCrawler (April 1994; brand still active). Lycos (1994). More successful than hand-curated portals. Nowadays: 93% of Internet traffic from search engines.2 2Forrester Research, 2006 – often quoted but couldn’t find a reference to the original study... 2/54 Introduction Crawling Indexing PageRank Business Innovation . Important search engines Yahoo! (1994): Initially a directory. Excite (1995). AltaVista (1995): In 1998, 20 machines, 130 GB RAM, 500 GB HDD, 13M queries/day (150 queries/second).3 Netscape (1996): Yahoo!, Magellan, Lycos, Infoseek, Excite. Ask Jeeves (1996): Tentative natural language support. Yandex (1997): Popular in Russia (60%).4 Google Search (1997): PageRank. GoTo (1998): Pay to appear for certain keywords. MSN Search (1998). Baidu (2000): Popular in China (63% of revenue).5 3 Ricardo Baeza-Yates and Berthier Ribeiro-Neto (1999). Modern Information Retrieval. Addison-Wesley/ACM Press, pp. 374, 390. 4 http://www.liveinternet.ru/stat/ru/searches.html?slice=ru 5 http://www.nytimes.com/2010/01/14/technology/companies/14baidu.html?_r=0 3/54 Introduction Crawling Indexing PageRank Business Innovation . -
Digital Marketing Handbook
Digital Marketing Handbook PDF generated using the open source mwlib toolkit. See http://code.pediapress.com/ for more information. PDF generated at: Sat, 17 Mar 2012 10:33:23 UTC Contents Articles Search Engine Reputation Management 1 Semantic Web 7 Microformat 17 Web 2.0 23 Web 1.0 36 Search engine optimization 37 Search engine 45 Search engine results page 52 Search engine marketing 53 Image search 57 Video search 59 Local search 65 Web presence 67 Internet marketing 70 Web crawler 74 Backlinks 83 Keyword stuffing 85 Article spinning 86 Link farm 87 Spamdexing 88 Index 93 Black hat 102 Danny Sullivan 103 Meta element 105 Meta tags 110 Inktomi 115 Larry Page 118 Sergey Brin 123 PageRank 131 Inbound link 143 Matt Cutts 145 nofollow 146 Open Directory Project 151 Sitemap 160 Robots Exclusion Standard 162 Robots.txt 165 301 redirect 169 Google Instant 179 Google Search 190 Cloaking 201 Web search engine 203 Bing 210 Ask.com 224 Yahoo! Search 228 Tim Berners-Lee 232 Web search query 239 Web crawling 241 Social search 250 Vertical search 252 Web analytics 253 Pay per click 262 Social media marketing 265 Affiliate marketing 269 Article marketing 280 Digital marketing 281 Hilltop algorithm 282 TrustRank 283 Latent semantic indexing 284 Semantic targeting 290 Canonical meta tag 292 Keyword research 293 Latent Dirichlet allocation 293 Vanessa Fox 300 Search engines 302 Site map 309 Sitemaps 311 Methods of website linking 315 Deep linking 317 Backlink 319 URL redirection 321 References Article Sources and Contributors 331 Image Sources, Licenses and Contributors 345 Article Licenses License 346 Search Engine Reputation Management 1 Search Engine Reputation Management Reputation management, is the process of tracking an entity's actions and other entities' opinions about those actions; reporting on those actions and opinions; and reacting to that report creating a feedback loop.