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Social Media Compendium Oktober 2009
Social Media Compendium Oktober 2009 COMMUNITY PLATFORMS / SOCIAL NETWORKS NICHED COMMUNITIES BLOG PLATFORMS BLOG COMMUNITIES & TOOLS / FORUM BLOG SEARCH COMMENT / REPUTATION MICROMEDIA / MICROBLOGGING SOCIAL BOOKMARKING CROWDSOURCED CONTENT CUSTOMER SERVICE, REVIEWS TEXT & PRESENTATION PUBLISHING & SHARING IMAGE SHARING & HOSTING IMAGE SEARCH IMAGE EDITING MUSIC SHARING & STREAMING VIDEO PUBLISHING & SHARING INSTRUCTIONAL & EDUCATIONAL VIDEOS VIDEO SEARCH ENGINES VIDEO STREAMING FEEDS / NEWS AGGREGATOR SOCIAL AGGREGATOR / PROFILE MANAGER LOCATION!BASED EVENTS DIRECT COMMUNICATION "IM / SMS / VOICE# WIKIS COLLABORATIVE PLATFORMS PRODUCTIVITY TOOLS INFORMATION DATABASES / MONITORING MEDIA & COMMUNICATION BLOGS SEARCH ENGINES REAL!TIME SEARCH by Matthieu Hartig ■ [email protected] ■ @matthartig COMMUNITY PLATFORMS / SOCIAL NETWORKS facebook.com (2) Facebook is the world’s largest free-access social networking website. Users can join networks organized by city, workplace, school, and region to connect and interact with other people. People can also add friends and send them messages, and update their personal pro"les to notify friends. hi5.com (43) hi5 is an international social network with a local #avor. It enables members to stay connect- ed, share their lives, and learn what’s happening around them – through customizable pro"le pages, messaging, unlimited photo storage, hundreds of OpenSocial applications and more. friendster.com (117) Founded in 2002, Friendster is one of the web’s older social networking services. Adults, 16 and up can join and connect with friends, family, school, groups, activities and interests. $e site currently has over 50 million users. Over 90% of Friendster’s tra%c comes from Asia. tagged.com (109) Protecting the safety of their users is what makes Tagged di&erent from other social network- ing sites. -
Comparison of Web Search Engines Using User-Based Metrics in Survey Statistics *Ogunyinka, P
Futo Journal Series (FUTOJNLS) e-ISSN : 2476-8456 p-ISSN : 2467-8325 Volume-6, Issue-2, pp- 190 - 200 www.futojnls.org Research Paper December 2020 Comparison of web search engines using user-based metrics in survey statistics *Ogunyinka, P. I.1, Aigbogun, L. I.1, Iheanyichukwu, B. F.2, Ekundayo, O. M.3, Banjo, O.1, Olubanwo, O. O.1 and Dehinsilu, O. A.1 1Department of Mathematical Sciences, Olabisi Onabanjo University, Ago-Iwoye, Ogun State, Nigeria. 2Olabisi Onabanjo University Library, Olabisi Onabanjo University, Ago-Iwoye, Ogun State, Nigeria. 3Department of Computer Science, Federal University of Technology, Akure, Ondo State, Nigeria. *Corresponding Author’s Email: [email protected] Abstract Different web search engines had been rated based on different metrics. However, almost none had considered the search query length, the retrieved quantity and retrieval time for evaluation of web search engines. This study had rated five web search engines (Google, Yahoo, WOW, AOL and Bing) using non-parametric Kruskal-Wallis test for significant mean difference and single-phase sampling for regression estimation and examination of internal error. The retrieval time was used as the study variable while the retrieved quantity of the organic search results and the search query length were used as the auxiliary variables. The correlation coefficient, mean square error, percentage coefficient of variation and percentage relative efficiency were used for the evaluation and comparison of the estimated population mean of the retrieval time. Results revealed that Google was the most rated web search engine with the highest significant retrieved quantity and significant retrieval time while Bing was the least rated web search engine. -
List of Search Engines Listed by Types of Searches
List of Search Engines Listed by Types of Searches - © 09-14-2014 - images removed Copyright - Professional Web Services Internet Marketing SEO Business Solutions - http://pwebs.net - All Rights Reserved List of Search Engines Listed by Types of Searches by ProWebs - Article last updated on: Saturday, July 28, 2012 http://pwebs.net/2011/04/search-engines-list/ To view images click link above. This page posting has been updated with the addition of some of the newer search engines. The original search engine page was dealing mainly with B2B and B2C search. However, with today's broad based Internet activity, and how it relates to various aspects of business usage, personal searches, and even internal intranet enterprise searches, we wanted to highlight some of the different search market segments. This list of the various search engines, is posted here mainly for research and education purposes. We felt it is nice to be able to reference and have links to some of the different search engines all in one place. While the list below does not cover each and every search engine online, it does provide a broad list of most of the major search companies that are available. Also note that some of the search engine links have been redirected to other sites due to search buyouts, mergers, and acquisitions with other companies, along with changes with the search engines themselves (for example: search companies have changed brand names, different URLs, and links). You will also notice that some of the search websites go back a number of years. If you would like to read more about the details of any particular search engine, take a look at the Wikipedia Search Engines List article, and follow the links to each specific search engine for a descriptive overview. -
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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. -
HR8A SCQF Level 7
SQA Advanced Unit specification: general information Unit title: Handling Information as a Resource Unit code: HR8A 47 Superclass: CY Publication date: August 2017 Source: Scottish Qualifications Authority Version: 01 Unit purpose This Unit is designed to allow candidates to identify, source and evaluate the required information for a given task and critically review the process. It is an optional Unit for SQA Advanced Certificate in Computing and various Computing SQA Advanced Diplomas, but may also be of use to candidates following programmes of study in other disciplines. On completion of the Unit the candidate should be able to: 1 Find and identify relevant information on a given topic from various sources. 2 Evaluate the information obtained. 3 Review the research methodology and results obtained and suggest possible improvements in search techniques and evaluation. Recommended prior knowledge and skills Access to this Unit is at the discretion of the centre. However, it would be useful if candidates had good communication skills and prior knowledge of using a computer. This might be evidenced by possession of National Units in Communication and in basic computer use, eg PC Passport. Credit points and level 1 SQA Credit at SCQF level 7: (8 SCQF credit points at SCQF level 7*) *SCQF credit points are used to allocate credit to qualifications in the Scottish Credit and Qualifications Framework (SCQF). Each qualification in the Framework is allocated a number of SCQF credit points at an SCQF level. There are 12 SCQF levels, ranging from National 1 to Doctorates. HR8A 47, Handling Information as a Resource (SCQF level 7) 1 SQA Advanced Unit Specification Core Skills Opportunities to develop aspects of Core Skills are highlighted in the Support Notes of this Unit specification. -
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. -
Wyszukiwarki WWW - Wprowadzenie
Wyszukiwanie i Przetwarzanie Informacji WWW Wyszukiwarki WWW - Wprowadzenie Marcin Sydow PJWSTK Marcin Sydow (PJWSTK) Wyszukiwanie i Przetwarzanie Informacji WWW 1 / 34 Plan wykªadu Wprowadzenie Rola i funkcjonalno±¢ wyszukiwarek Czym wyszukiwanie w WWW ró»ni si¦ od wyszukiwania w korpusach tekstowych Moduªy typowej wyszukiwarki Wyzwania techniczne Inne modele wyszukiwarek Podsumowanie Marcin Sydow (PJWSTK) Wyszukiwanie i Przetwarzanie Informacji WWW 2 / 34 Wprowadzenie Web Dzisiaj Rozmiar WWW: dziesi¡tki miliardów stron (wg. worldWideWebSize.com na 30.09.2009) kilkana±cie miliardów indeksowalnych dokumentów Ilo±¢ u»ytkowników WWW: okoªo 300.000.000 (wg. Nielsen/NetRatings 2007) okoªo 700.000.000 unikalnych u»ytkowników (comScore World Metrix, 2006.03) kilkaset milionów u»ytkowników Marcin Sydow (PJWSTK) Wyszukiwanie i Przetwarzanie Informacji WWW 3 / 34 Google.com Facebook.com YouTube.com Yahoo.com Live.com (wg. alexa.com 3.03.2010, kolejno±¢ bywa ró»na wg. ró»nych kryteriów) 3 z pi¦ciu to wyszukiwarki, tzw. Wielka Trójka, a 2 pozostaªe nale»¡ do wyszukiwarek. Dlaczego wyszukiwarki s¡ najpopularniejszymi serwisami? Wprowadzenie Najpopularniejsze adresy URL Spo±ród kilkunastu miliardów - jakich jest 5 najpopularniejszych witryn na ±wiecie? Marcin Sydow (PJWSTK) Wyszukiwanie i Przetwarzanie Informacji WWW 4 / 34 Wprowadzenie Najpopularniejsze adresy URL Spo±ród kilkunastu miliardów - jakich jest 5 najpopularniejszych witryn na ±wiecie? Google.com Facebook.com YouTube.com Yahoo.com Live.com (wg. alexa.com 3.03.2010, kolejno±¢ bywa ró»na -
Evaluating the Suitability of Web Search Engines As Proxies for Knowledge Discovery from the Web
Available online at www.sciencedirect.com ScienceDirect Procedia Computer Science 96 ( 2016 ) 169 – 178 20th International Conference on Knowledge Based and Intelligent Information and Engineering Systems, KES2016, 5-7 September 2016, York, United Kingdom Evaluating the suitability of Web search engines as proxies for knowledge discovery from the Web Laura Martínez-Sanahuja*, David Sánchez UNESCO Chair in Data Privacy, Department of Computer Engineering and Mathematics, Universitat Rovira i Virgili Av.Països Catalans, 26, 43007 Tarragona, Catalonia, Spain Abstract Many researchers use the Web search engines’ hit count as an estimator of the Web information distribution in a variety of knowledge-based (linguistic) tasks. Even though many studies have been conducted on the retrieval effectiveness of Web search engines for Web users, few of them have evaluated them as research tools. In this study we analyse the currently available search engines and evaluate the suitability and accuracy of the hit counts they provide as estimators of the frequency/probability of textual entities. From the results of this study, we identify the search engines best suited to be used in linguistic research. © 20162016 TheThe Authors. Authors. Published Published by by Elsevier Elsevier B.V. B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under responsibility of KES International. Peer-review under responsibility of KES International Keywords: Web search engines; hit count; information distribution; knowledge discovery; semantic similarity; expert systems. 1. Introduction Expert and knowledge-based systems rely on data to build the knowledge models required to perform inferences or answer questions. -
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. -
Online Research Tools
Online Research Tools A White Paper Link Compilation By Marcus P. Zillman, M.S., A.M.H.A. Executive Director – Virtual Private Library [email protected] Online Research Tools is a white paper link compilation of various online tools that will aid your research and searching of the Internet. These tools come in all types and descriptions and many are web applications without the need to download software to your computer. This white paper link compilation is constantly updated and is available online in the Research Tools section of the Virtual Private Library’s Subject Tracer™ Information Blog: http://www.ResearchResources.info/ If you know of other online research tools both free and fee based feel free to contact me so I may place them in this ongoing work as the goal is to make research and searching more efficient and productive both for the professional as well as the lay person. Figure 1: Research Resources 1 Online Research Tools – A White Paper Link Compilation [Updated: February 2, 2010] http://www.OnlineResearchTools.info/ [email protected] eVoice: 800-858-1462 © 2005, 2006, 2007, 2008, 2009, 2010 Marcus P. Zillman, M.S., A.M.H.A. Research Tools 1Cast - Your Digital News Stand http://www.1cast.com/ 12seconds.tv - Video Status Updates http://www.12seconds.tv/ 191 Resources On Online Tools, Generators, Checkers http://www.listible.com/list/online-tools2C-generators2C-checkers 2008 Year-End Google Zeitgeist http://www.google.com/intl/en/press/zeitgeist2008/ 2collab - Research Collaboration Tool http://www.2collab.com/ -
What Is Keyword Research ?
DATE: July 16, 2020, THURSDAY TIME: 07:00 PM (AST) LIVE FROM DOHA, QATAR HOW DO YOU PROMOTE? WHAT ARE THE WAYS FOR YOU TO PROMOTE YOUR BUSINESS? 100 WAYS OF PROMOTING There are more than 25 Different Ways to Promote Your Business Online 1. SEO 2. Search Engine Marketing 3. Remarketing 4. Retargeting 5. Email Marketing Streak.com 6. SOCIAL MEDIA 7. Social Networking Sites 8.Streaming Videos Sites 9. MICRO BLOGS/BLOGS 10.WIKIS 11. INSTANT MESSENGERS 12. WEBINAR 13. REPORT FORECAST Effective Way of Using Social Media State your Social Media Objectives Social Media Strategies Social Media Marketing Social Media Management Your Social Media Manager Social Media Team Manager • This would be the business owner or some one you appoint to manage the 3 types of workers. 14. MARKETING AUTOMATION 15. Customer Relationship Management Tools 16. Conversion Optimization Tools 17. Campaign Management 18. Content Management Systems 19. Content Marketing Infographics E-book 32 20. Mobile Marketing SMS Q R Code 33 21. Proximity Marketing 34 22. Affiliate Marketing 15% of E- Commerce Business is done through Affiliate Marketing 23.SURVEY 24. INFLUENCER MARKETING 25. InBranding SEARCH ENGINE OPTIMIZATION (SEO) POINTS OF DISCUSSION 4.IMPORTANTS 5.PRACTICAL 3.KEYWORD 1.SEO 2.KEYWORDS OF KEYWORD IMPLEMENTATION OPTIMIZATION RESEARCH OF KEYWORD RESEARCH TOOLS SEARCH ENGINES SEARCH ENGINE OPTIMIZATION (SEO) A program that searches for and identifies items in a database that correspond to keywords or characters specified by the user, used especially for finding particular -
Zinzin Naming Guide
The Essential Naming Guide The Art of Naming By Zinzin Version 5.2 February 26, 2021 Updated regularly with new content. Get the latest version here: http://www.zinzin.com/downloads/ ©2021 Zinzin Group Inc 2 Let There Be Names. T.S. Eliot wrote that the world will end with a whimper, not a bang. Perhaps. But it began most evocatively with a Big Bang. Did the Big Bang know itself by that name as it was happening? Doubtful – the name came much later. In our world today, however, everything begins with a name. As you embark on the adventure of naming your company or product, you have the opportunity to create a Big Bang or a little whimper. Do the right thing – make a Big Bang. This document will show you how. 3 Contents Introduction: Who is Zinzin?.................................................................. 6 About our name .......................................................................................................... 6 The Naming Process ............................................................................... 7 The Road To An Amazing Name ................................................................................. 7 Competitive Analysis ..................................................................................................8 Competitive Namescape: Search Engines.............................................................. 9 Blank Namescape Chart ....................................................................................... 11 Brand Positioning ....................................................................................................