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The SEO Battlefield WINNING STRATEGIES for SEARCH MARKETING PROGRAMS
The SEO Battlefield WINNING STRATEGIES FOR SEARCH MARKETING PROGRAMS Anne Ahola Ward The SEO Battlefield Winning Strategies for Search Marketing Programs Anne Ahola Ward Beijing Boston Farnham Sebastopol Tokyo The SEO Battlefield by Anne Ahola Ward Copyright © 2017 Anne Ward. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles (http://oreilly.com/safari). For more information, contact our corporate/insti‐ tutional sales department: 800-998-9938 or [email protected]. Editor: Meg Foley Indexer: Judy McConville Production Editor: Nicholas Adams Interior Designer: David Futato Copyeditor: Gillian McGarvey Cover Designer: Randy Comer Proofreader: Charles Roumeliotis Illustrator: Rebecca Demarest April 2017: First Edition Revision History for the First Edition 2017-03-21: First Release See http://oreilly.com/catalog/errata.csp?isbn=9781491958377 for release details. The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. The SEO Battlefield, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc. While the publisher and the author have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the author disclaim all responsibility for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technology this work contains or describes is subject to open source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use thereof complies with such licenses and/or rights. -
Statistics for Donauschwaben-Usa.Org (2010-10)
Statistics for donauschwaben-usa.org (2010-10) Statistics for: donauschwaben-usa.org Last Update: 01 Nov 2010 - 13:51 Reported period: Month Oct 2010 When: Monthly history Days of month Days of week Hours Who: Organizations Countries Full list Hosts Full list Last visit Unresolved IP Address Robots/Spiders visitors Full list Last visit Navigation: Visits duration File type Viewed Full list Entry Exit Operating Systems Versions Unknown Browsers Versions Unknown Referrers: Origin Referring search engines Referring sites Search Search Keyphrases Search Keywords Others: Miscellaneous HTTP Status codes Pages not found Summary Reported period Month Oct 2010 First visit 01 Oct 2010 - 00:05 Last visit 31 Oct 2010 - 23:59 Unique visitors Number of visits Pages Hits Bandwidth 4264 5044 16762 108013 9.02 GB Viewed traffic * (1.18 visits/visitor) (3.32 Pages/Visit) (21.41 Hits/Visit) (1875.41 KB/Visit) Not viewed traffic * 39400 45593 3.12 GB * Not viewed traffic includes traffic generated by robots, worms, or replies with special HTTP status codes. Monthly history Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 Month Unique visitors Number of visits Pages Hits Bandwidth Jan 2010 0 0 0 0 0 Feb 2010 0 0 0 0 0 Mar 2010 0 0 0 0 0 Apr 2010 0 0 0 0 0 May 2010 0 0 0 0 0 Jun 2010 0 0 0 0 0 Jul 2010 0 0 0 0 0 Aug 2010 0 0 0 0 0 Sep 2010 0 0 0 0 0 Oct 2010 4264 5044 16762 108013 9.02 GB Nov 2010 0 0 0 0 0 Dec 2010 0 0 0 0 0 Total 4264 5044 16762 108013 9.02 GB Days of month 01 02 03 04 05 06 07 08 -
List of Search Engines
A blog network is a group of blogs that are connected to each other in a network. A blog network can either be a group of loosely connected blogs, or a group of blogs that are owned by the same company. The purpose of such a network is usually to promote the other blogs in the same network and therefore increase the advertising revenue generated from online advertising on the blogs.[1] List of search engines From Wikipedia, the free encyclopedia For knowing popular web search engines see, see Most popular Internet search engines. This is a list of search engines, including web search engines, selection-based search engines, metasearch engines, desktop search tools, and web portals and vertical market websites that have a search facility for online databases. Contents 1 By content/topic o 1.1 General o 1.2 P2P search engines o 1.3 Metasearch engines o 1.4 Geographically limited scope o 1.5 Semantic o 1.6 Accountancy o 1.7 Business o 1.8 Computers o 1.9 Enterprise o 1.10 Fashion o 1.11 Food/Recipes o 1.12 Genealogy o 1.13 Mobile/Handheld o 1.14 Job o 1.15 Legal o 1.16 Medical o 1.17 News o 1.18 People o 1.19 Real estate / property o 1.20 Television o 1.21 Video Games 2 By information type o 2.1 Forum o 2.2 Blog o 2.3 Multimedia o 2.4 Source code o 2.5 BitTorrent o 2.6 Email o 2.7 Maps o 2.8 Price o 2.9 Question and answer . -
Statistics for Donauschwaben-Usa.Org (2010-06)
Statistics for donauschwaben-usa.org (2010-06) Statistics for: donauschwaben-usa.org Last Update: 04 Jul 2010 - 10:11 Reported period: Month Jun 2010 When: Monthly history Days of month Days of week Hours Who: Organizations Countries Full list Hosts Full list Last visit Unresolved IP Address Robots/Spiders visitors Full list Last visit Navigation: Visits duration File type Viewed Full list Entry Exit Operating Systems Versions Unknown Browsers Versions Unknown Referrers: Origin Referring search engines Referring sites Search Search Keyphrases Search Keywords Others: Miscellaneous HTTP Status codes Pages not found Summary Reported period Month Jun 2010 First visit 01 Jun 2010 - 00:12 Last visit 30 Jun 2010 - 23:49 Unique visitors Number of visits Pages Hits Bandwidth 3764 4634 12399 84974 6.35 GB Viewed traffic * (1.23 visits/visitor) (2.67 Pages/Visit) (18.33 Hits/Visit) (1437.87 KB/Visit) Not viewed traffic * 18670 22983 2.81 GB * Not viewed traffic includes traffic generated by robots, worms, or replies with special HTTP status codes. Monthly history Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 Month Unique visitors Number of visits Pages Hits Bandwidth Jan 2010 0 0 0 0 0 Feb 2010 0 0 0 0 0 Mar 2010 0 0 0 0 0 Apr 2010 0 0 0 0 0 May 2010 0 0 0 0 0 Jun 2010 3764 4634 12399 84974 6.35 GB Jul 2010 0 0 0 0 0 Aug 2010 0 0 0 0 0 Sep 2010 0 0 0 0 0 Oct 2010 0 0 0 0 0 Nov 2010 0 0 0 0 0 Dec 2010 0 0 0 0 0 Total 3764 4634 12399 84974 6.35 GB Days of month 01 02 03 04 05 06 07 08 09 -
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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. -
Mastering the SEO Battlefield
Mastering the SEO Battlefield Anne Ahola Ward Boston The SEO Battlefield by Anne Ahola Ward Copyright © 2016 Anne Ward. All rights reserved. Printed in the United States of America. Published by O’Reilly Media, Inc. , 1005 Gravenstein Highway North, Sebastopol, CA 95472. O’Reilly books may be purchased for educational, business, or sales promotional use. Online editions are also available for most titles ( http://safaribooksonline.com ). For more information, contact our corporate/ institutional sales department: 800-998-9938 or [email protected] . Editor: Meg Foley Proofreader: FILL IN PROOFREADER Production Editor: FILL IN PRODUCTION EDI‐ Indexer: FILL IN INDEXER TOR Interior Designer: David Futato Copyeditor: FILL IN COPYEDITOR Cover Designer: Karen Montgomery Illustrator: Rebecca Demarest March 2017: First Edition Revision History for the First Edition 2016-11-17: First Early Release See http://oreilly.com/catalog/errata.csp?isbn=9781491958377 for release details. The O’Reilly logo is a registered trademark of O’Reilly Media, Inc. The SEO Battlefield, the cover image, and related trade dress are trademarks of O’Reilly Media, Inc. While the publisher and the author(s) have used good faith efforts to ensure that the information and instructions contained in this work are accurate, the publisher and the author(s) disclaim all responsibil‐ ity for errors or omissions, including without limitation responsibility for damages resulting from the use of or reliance on this work. Use of the information and instructions contained in this work is at your own risk. If any code samples or other technology this work contains or describes is subject to open source licenses or the intellectual property rights of others, it is your responsibility to ensure that your use thereof complies with such licenses and/or rights. -
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. -
Analisis Perbandingan Search Matching Berdasarkan Karakteristik Pada Search Engine Google, Yahoo, Dan Bing
ANALISIS PERBANDINGAN SEARCH MATCHING BERDASARKAN KARAKTERISTIK PADA SEARCH ENGINE GOOGLE, YAHOO, DAN BING. SKRIPSI Diajukan sebagai salah satu persyaratan dalam menyelesaikan studi Untuk memperoleh gelar Sarjana Sains Informasi (S.S.I) dalam Program Studi Perpustakaan dan Sains Informasi SRI IRIANTI PURBA 150709049 UNIVERSITAS SUMATERA UTARA FAKULTAS ILMU BUDAYA PROGRAM STUDI PERPUSTAKAAN DAN SAINS INFORMASI MEDAN 2020 Universitas Sumatera Utara LEMBAR PERSETUJUAN Judul Skripsi : Analisis Perbandingan Search Matching Berdasarkan Karakteristik pada Search Engine Google, Yahoo, dan Bing Oleh : Sri Irianti Purba NIM : 150709049 Dosen Pembimbing : Dr. Jonner Hasugian, M.Si NIP : 19591122987021002 Tanda Tangan : Tanggal : Universitas Sumatera Utara LEMBAR PENGESAHAN Judul Skripsi : Analisis Perbandingan Search Matching Berdasarkan Karakteristik pada Search Engine Google, Yahoo, dan Bing Oleh : Sri Irianti Purba NIM : 150709049 PROGRAM STUDI PERPUSTAKAAN DAN SAINS INFORMASI Ketua : Dr. Eva Rabita, M.Hum NIP : 195603311986032001 Tanda Tangan : Tanggal : FAKULTAS ILMU BUDAYA Dekan : Dr. Budi Agustono, M.S NIP : 196008051987031001 Tanda Tangan : Tanggal : Universitas Sumatera Utara PERNYATAAN ORISINALITAS Karya ini adalah karya orisinal dan belum pernah disajikan sebagai suatu tulisan untuk memperoleh suatu kualifikasi tertentu atau dimuat pada media publikasi lain. Penulis membedakan dengan jelas antara pendapat atau gagasan penulis dengan pendapat atau gagasan yang bukan berasal dari penulis dengan mencantumkan tanda kutip. Medan, Januari 2020 Sri Irianti Purba Universitas Sumatera Utara ABSTRAK Purba, Sri Irianti. 2020. Analisis Perbandingan Search Matching Berdasarkan Karakteristik pada Search Engine Google, Yahoo, dan Bing. Medan: Program Studi Perpustakaan dan Sains Informasi Fakultas Ilmu Budaya Universitas Sumatera Utara. Penelitian ini dilakukan dengan teknik dokumentasi pada Search Engine Google, Yahoo dan Bing pada bulan Agustus sampai bulan Desember 2019. -
Statistics for Donauschwaben-Usa.Org (2010-03)
Statistics for donauschwaben-usa.org (2010-03) Statistics for: donauschwaben-usa.org Last Update: 02 Apr 2010 - 16:15 Reported period: Month Mar 2010 When: Monthly history Days of month Days of week Hours Who: Organizations Countries Full list Hosts Full list Last visit Unresolved IP Address Robots/Spiders visitors Full list Last visit Navigation: Visits duration File type Viewed Full list Entry Exit Operating Systems Versions Unknown Browsers Versions Unknown Referrers: Origin Referring search engines Referring sites Search Search Keyphrases Search Keywords Others: Miscellaneous HTTP Status codes Pages not found Summary Reported period Month Mar 2010 First visit 01 Mar 2010 - 00:22 Last visit 31 Mar 2010 - 23:48 Unique visitors Number of visits Pages Hits Bandwidth 3337 4155 15878 104153 9.33 GB Viewed traffic * (1.24 visits/visitor) (3.82 Pages/Visit) (25.06 Hits/Visit) (2355.21 KB/Visit) Not viewed traffic * 17482 22835 2.13 GB * Not viewed traffic includes traffic generated by robots, worms, or replies with special HTTP status codes. Monthly history Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 2010 Month Unique visitors Number of visits Pages Hits Bandwidth Jan 2010 0 0 0 0 0 Feb 2010 0 0 0 0 0 Mar 2010 3337 4155 15878 104153 9.33 GB Apr 2010 0 0 0 0 0 May 2010 0 0 0 0 0 Jun 2010 0 0 0 0 0 Jul 2010 0 0 0 0 0 Aug 2010 0 0 0 0 0 Sep 2010 0 0 0 0 0 Oct 2010 0 0 0 0 0 Nov 2010 0 0 0 0 0 Dec 2010 0 0 0 0 0 Total 3337 4155 15878 104153 9.33 GB Days of month 01 02 03 04 05 06 07 08 -
By Content/Topic
Different search engines This is a list of Wikipedia articles about search engines, including web search engines, selection-based search engines, metasearch engines, desktop search tools, and web portals and vertical market websites that have a search facility for online databases. By content/topic General Baidu (Chinese, Japanese) Bing Blekko Google Sogou (Chinese) Soso.com (Chinese) Volunia Yahoo! Yandex (Russian) Yebol Yodao (Chinese) WireDoo P2P search engines FAROO Seeks (Open Source) YaCy (Free and fully decentralized) Metasearch engines See also: Metasearch engine Brainboost ChunkIt! Clusty DeeperWeb Dogpile Excite Harvester42 HotBot Info.com Ixquick Kayak LeapFish Mamma Metacrawler MetaLib Mobissimo Myriad Search SideStep WebCrawler Geographically limited scope Accoona, China/United States Alleba, Philippines Ansearch, Australia/United States/United Kingdom/New Zealand Biglobe, Japan Daum, Korea Goo, Japan Guruji.com, India Leit.is, Iceland Maktoob, Arab World Miner.hu, Hungary Najdi.si, Slovenia Naver, Korea Onkosh, Arab World Rambler, Russia Rediff, India SAPO, Portugal/Angola/Cabo Verde/Mozambique Search.ch, Switzerland Sesam, Norway, Sweden Seznam, Czech Republic Walla!, Israel Yandex, Russia Yehey!, Philippines ZipLocal, Canada/United States Accountancy IFACnet Business Business.com GenieKnows (United States and Canada) GlobalSpec Nexis (Lexis Nexis) Thomasnet (United States) Enterprise See also: Enterprise search AskMeNow: S3 - Semantic Search Solution Concept -
The Case of a Green Search Engine
Article The Effect of Internet Searches on Afforestation: The Case of a Green Search Engine Pedro Palos-Sanchez 1,2,* ID and Jose Ramon Saura 3,* ID 1 Department of Business Management, University of Extremadura, Av. Universidad, s/n, 10003 Cáceres, Spain 2 Department of Business Organization, Marketing and Market Research, International University of La Rioja, Av. de la Paz, 137, 26006 Logroño, Spain 3 Department of Business and Economics, Rey Juan Carlos University, Paseo Artilleros s/n, 28027 Madrid, Spain * Correspondence: [email protected] (P.P.-S.); [email protected] (J.R.S.); Tel.: +34-927-257-480 (P.P.-S.); +34-91-488-80-11 (J.R.S.) Received: 17 November 2017; Accepted: 19 January 2018; Published: 23 January 2018 Abstract: Ecosia is an Internet search engine that plants trees with the income obtained from advertising. This study explored the factors that affect the adoption of Ecosia.org from the perspective of technology adoption and trust. This was done by using the Unified Theory of Acceptance and Use of Technology (UTAUT2) and then analyzing the results with PLS-SEM (Partial Least Squares-Structural Equation Modeling). Subsequently, a survey was conducted with a structured questionnaire on search engines, which yielded the following results: (1) the idea of a company helping to mitigate the effects of climate change by planting trees is well received by Internet users. However, few people accept the idea of changing their habits from using traditional search engines; (2) Ecosia is a search engine believed to have higher compatibility rates, and needing less hardware resources, and (3) ecological marketing is an appropriate and future strategy that can increase the intention to use a technological product. -
Search Engines and Social Business – Implications from the Case of Ecosia
Search Engines and Social Business – Implications from the Case of Ecosia N.-H. Schmidt Abstract— The environmental impact of search engines is Estimations about the level of caused CO2 emissions by a facing increasing public attention within the discussion about Google search request vary between 1g to 10g and are being Green IS and Green IT. The search engine Ecosia takes discussed controversially [7], [8]. Thus, regardless of the advantage of this situation by pursuing a Social Business model financial success, Google has come under criticism in which distinguishes itself from other major search engines in the market. Enterprises following this concept have the goal to make environmental issues. positive social or environmental contributions to the society. The search engine Ecosia takes advantage of this situation They are not aiming for profit maximization. by pursuing an IT-based green business model which Ecosia contributes to the society by spending most of its distinguishes itself from the main search engines in the revenues for environmental purposes. At least 80% of its market. Ecosia is not aiming for profit maximization. Instead revenues are donated to the World Wildlife Fund (WWF). it follows the emerging concept of Social Business in whose Regarding this, the question arises if Social Business models context it tries to make a positive environmental contribution possess a potential for success in the search engine market. This is related to the question, how users perceive this kind of to the society [9]. sustainable behavior and if this has an impact on the utilization To achieve its objectives Ecosia cooperates with nonprofit of search services.