Usage of Internet for Academic Purposes on University Students' Achievement
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Dining Hall,” “Cafeteria,” and “Campus Food Service” • Be Specific As You Learn More – E.G
THE INTERNET Conducting Internet Research Computer Applications I Martin Santos Jorge Cab Objectives • After completing this section, students will be able to: • Understand the internet • Identify the different tools for research • Use and cite references from the internet Lecturers: Martin Santos/Jorge Cab (S.P.J.C.) 2 Vocabulary List • Internet (the Net): a global connection of millions of computer networks • Browser: software that helps a user access web sites (Internet Explorer and Netscape) • Server: a computer that runs special software and sends information over the Internet when requested • World Wide Web (the Web or www.): multimedia portion of the Internet consisting of text, graphics, audio and video • URL: stands for Uniform Resource Locator. It is the website's “address” or what the user types in to make the connection • Web site: a “virtual” place on the Internet with a unique URL • Virtual: “mental” replica of something - you can’t “touch” it – need a “tool” to get to it • Web page: a place on a web site where specific information is located • Home page: main page of a web site and first page to load when a site is accessed • Hyperlink: “clickable” text or graphics – takes you from one place to another – usually underlined and shows a hand shaped icon • Hypertext: capability to “link” or “jump” to other references or cross references by clicking • Cyberspace: “electronic” universe where information from one computer connects with another • Upload: process of transferring information to a page/site on the internet • Download: process of transferring information to a computer • Search engine: a site that scans the contents of other web sites to create a large index of information • Domain (top level): code located in the URL representing the type of organization (i.e., .gov (government), .edu (education), .mil (military), .org (organization – non-profit), .com (commercial – a business – for profit) • Internet Service Provider (ISP): a company with direct connection to the Internet that grants subscribers access to various Internet services. -
Dogpile.Com First to Combine Search Results from MSN Search with Google, Yahoo and Ask Jeeves
Dogpile.com First to Combine Search Results From MSN Search with Google, Yahoo and Ask Jeeves With the Addition of MSN Search, Dogpile.com Users Can Efficiently Find More of the Web's Most Relevant Search Results in One Place BELLEVUE, Wash. – August 2, 2005 – Dogpile.com today announced that search results from MSN Search are now available on the Web's leading metasearch engine. By becoming the first to combine results from the four leading search sites—MSN Search, Google, Yahoo and Ask Jeeves—Dogpile.com gives consumers the most comprehensive view of the Web and helps them efficiently retrieve the most relevant results. The addition of MSN Search to Dogpile.com further extends Dogpile.com's differentiation from any single search engine. Most people believe search results across all four engines are the same, when, in fact, the vast majority of the results from each engine are different. According to a new study, researchers at the University of Pittsburgh and the Pennsylvania State University evaluated 12,570 random queries run on MSN Search, Google, Yahoo and Ask Jeeves. They found only 1.1 percent of the first page results are the same across all four engines. The full results of the study can be found at http://CompareSearchEngines.dogpile.com/whitepaper. "By bringing together the best results from the top engines on Dogpile.com, consumers can be confident they are receiving the most relevant results," said Brian Bowman, vice president of marketing and product management for InfoSpace Search & Directory. Dogpile.com has built a tool that allows consumers to compare the results of the leading engines for themselves. -
How to Choose a Search Engine Or Directory
How to Choose a Search Engine or Directory Fields & File Types If you want to search for... Choose... Audio/Music AllTheWeb | AltaVista | Dogpile | Fazzle | FindSounds.com | Lycos Music Downloads | Lycos Multimedia Search | Singingfish Date last modified AllTheWeb Advanced Search | AltaVista Advanced Web Search | Exalead Advanced Search | Google Advanced Search | HotBot Advanced Search | Teoma Advanced Search | Yahoo Advanced Web Search Domain/Site/URL AllTheWeb Advanced Search | AltaVista Advanced Web Search | AOL Advanced Search | Google Advanced Search | Lycos Advanced Search | MSN Search Search Builder | SearchEdu.com | Teoma Advanced Search | Yahoo Advanced Web Search File Format AllTheWeb Advanced Web Search | AltaVista Advanced Web Search | AOL Advanced Search | Exalead Advanced Search | Yahoo Advanced Web Search Geographic location Exalead Advanced Search | HotBot Advanced Search | Lycos Advanced Search | MSN Search Search Builder | Teoma Advanced Search | Yahoo Advanced Web Search Images AllTheWeb | AltaVista | The Amazing Picture Machine | Ditto | Dogpile | Fazzle | Google Image Search | IceRocket | Ixquick | Mamma | Picsearch Language AllTheWeb Advanced Web Search | AOL Advanced Search | Exalead Advanced Search | Google Language Tools | HotBot Advanced Search | iBoogie Advanced Web Search | Lycos Advanced Search | MSN Search Search Builder | Teoma Advanced Search | Yahoo Advanced Web Search Multimedia & video All TheWeb | AltaVista | Dogpile | Fazzle | IceRocket | Singingfish | Yahoo Video Search Page Title/URL AOL Advanced -
Web Search Tutoring for the Local Community
Web search for local communities in the Highlands of Scotland: A self-tutoring guide MODULE III Alternatives to Google: some other search tools worth a try © Copyright Hans Zell Publishing Consultants 2011 Glais Bheinn, Lochcarron, Ross-shire IV54 8YB, Scotland, UK Email: [email protected] Web: www.hanszell.co.uk Web search for local communities in the Highlands of Scotland: A self-tutoring guide MODULE I How to get the most out of Google Web search MODULE II A concise guide to Google products, services, applications, and other offerings MODULE III Alternatives to Google: some other search tools worth a try MODULE IV The best of the Web: a guide to some of the most information-rich resources on the Internet 2 Introduction Google is a marvellous Web search tool and is as good as they get at present, but it is certainly not the only one. Other top search engines include Ask.com (aka as Ask Jeeves), Bing (formerly called MSN Search), and Yahoo! (and see General purpose, product, and visual search engines below). According to data published by Experian Hitwise http://www.hitwise.com/us/datacenter/main/dashboard-23984.html in June 2011, Google still heavily dominates the market with a share of about 68%, while the market share of Yahoo and Microsoft’s Bing currently is something just under 14% for both; Ask.com is in fourth place with around 2.6%, and AOL Search in fifth place with about 1.4%. The picture is roughly the same if ranked by number of visits, although Bing does better than Yahoo in this category. -
Analysis of Query Keywords of Sports-Related Queries Using Visualization and Clustering
Analysis of Query Keywords of Sports-Related Queries Using Visualization and Clustering Jin Zhang and Dietmar Wolfram School of Information Studies, University of Wisconsin—Milwaukee, Milwaukee, WI 53201. E-mail: {jzhang, dwolfram}@uwm.edu Peiling Wang School of Information Sciences, College of Communication and Information, University of Tennessee at Knoxville, Knoxville, TN 37996–0341. E-mail: [email protected] The authors investigated 11 sports-related query key- the user’s request includes the client Internet Protocol (IP) words extracted from a public search engine query log address, request date/time, page requested, HTTP code, bytes to better understand sports-related information seeking served, user agent, referrer, and so on. The data are kept in on the Internet. After the query log contents were cleaned and query data were parsed, popular sports-related key- a standard format in a transaction log file (Hallam-Baker & words were identified, along with frequently co-occurring Behlendorf, 2008). query terms associated with the identified keywords. Although a transaction log comprises rich data, including Relationships among each sports-related focus keyword browsing times and traversal paths, it is the queries directly and its related keywords were characterized and grouped submitted by users that have attracted the most research using multidimensional scaling (MDS) in combination with traditional hierarchical clustering methods. The two attention. Query data contain keywords that reflect users’ approaches were synthesized in a visual context by high- wide-ranging information needs. Query logs have been ana- lighting the results of the hierarchical clustering analysis lyzed from a variety of sources with different emphases and in the visual MDS configuration. -
Meta Search Engine Examples
Meta Search Engine Examples mottlesMarlon istemerariously unresolvable or and unhitches rice ichnographically left. Salted Verney while crowedanticipated no gawk Horst succors underfeeding whitherward and naphthalising. after Jeremy Chappedredetermines and acaudalfestively, Niels quite often sincipital. globed some Schema conflict can be taken the meta descriptions appear after which result, it later one or can support. Would result for updating systematic reviews from different business view all fields need to our generated usually negotiate the roi. What is hacking or hacked content? This meta engines! Search Engines allow us to filter the tons of information available put the internet and get the bid accurate results And got most people don't. Best Meta Search array List The Windows Club. Search engines have any category, google a great for a suggestion selection has been shown in executive search input from health. Search engine name of their booking on either class, the sites can select a search and generally, meaning they have past the systematisation of. Search Engines Corner Meta-search Engines Ariadne. Obsession of search engines such as expedia, it combines the example, like the answer about search engines out there were looking for. Test Embedded Software IC Design Intellectual Property. Using Research Tools Web Searching OCLS. The meta description for each browser settings to bing, boolean logic always prevent them the hierarchy does it displays the search engine examples osubject directories. Online travel agent Bookingcom has admitted that playing has trouble to compensate customers whose personal details have been stolen Guests booking hotel rooms have unwittingly handed over business to criminals Bookingcom is go of the biggest online travel agents. -
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. -
Notice of Annual Shareholders' Meeting and Proxy Statement
2016 Notice of Annual Shareholders’ Meeting and Proxy Statement Friday, June 3, 2016 8:00 a.m., Central time Bud Walton Arena, University of Arkansas, Fayetteville, Arkansas NYSE: WMT “Our Board has the right skills and experience to support the company's strategy.” April 20, 2016 Dear Fellow Shareholders: We are pleased to invite you to attend Walmart’s 2016 maximize our effectiveness as we adapt to evolving Annual Shareholders’ Meeting on June 3, 2016 at 8:00 customer needs. These changes include reducing the a.m. Central Time. If you plan to attend, please see size of the Board while maintaining its independence, page 94 for admission requirements. For those unable changing the composition of Board committees, to join in-person, the meeting will also be webcast at and ensuring that Board and committee agendas www.stock.walmart.com. are focused on Walmart’s strategic priorities. We have revised the Corporate Governance section of Walmart is going through a period of transformation as our proxy statement to provide more information on we make strategic investments to better serve customers these topics (see page 12). Your Board is committed and drive shareholder value. Over the past year, we have to continuous improvement, and in early 2016 we actively engaged with many of our largest institutional engaged a third party consulting firm to help us think shareholders to understand their perspectives on a variety about ways to further improve our effectiveness. The of topics, including corporate strategy, governance, and sentiment from shareholders has been consistent – compensation. We both participated in this engagement effort and we would like to take this opportunity to update that the value, quality, and diversity of our directors you on some of the themes from these discussions, are strategic assets for Walmart. -
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 . -
19 Western Berlin Policemen Kidnaped by Soviet Gunners
M, *“ ‘ K w S 4 t i TUESDAY, SEPTEMBER T, IHB n s W i B t h d B VAGI rOUBTEEir iianrliPB tw EofttitiB A vstm ^ Daily Net Press Bun I Feeeeais of U. s. Wgaftar B v M SWthaMemhefAeseMlSa gradea. Ih a cuatodlana bava eom- y aad w ana'^ aflwB^'' village Camera Club members Mr. and Mrs. Joseph H. Marsh- pleted amaJl repairs and general Men and women o f the Cove eeal wlada aaar goaot) vofttlM will resume monthly meetings to bum of Norman, Oklahoma, who Well Again After Schools Ready cleaning In all buildings duitog the nant-Congregations* church are re- were here for the wedding of their 9,243. JordoMMl MiiM M# oueated to meet at the church thi« morrow night at eight o’clock at summer months. WANTED A bout Town the y . M. C. A. Started iMt son. Joseph H. Marshbum, Jr. and 2 Years in Hospitals partly deadly norgdag. evening at 6 o’clock to make pw- Mias Patricia E. Dowd, aalled to For Reopening The Board of Bducatlcm haa March the enrollment la now 30. hired 35 new teaohera to till va narattona for the dedication of the day for England where they plan M ancheM ler^^ CUy of rOlago Charm ' 8 t BOTiwdatte’* Ifethcn Clrel; ^ church addition, and family Several leettirea were given In cancies. The new teachere have CASHIER I UlU BBMt tCBlght »t * June, and ten membera completed to spend a year. They have been banquet at 6:30 o'clock Saturday. visiting Mr. and Mrs. Page Bennett Sessions to Start at’8:45 filled all vacanoiee In the Man PLEASANT WOBKINO tiM ¥<-«• V t Mn- Mward Faber of an early summer course. -
Traffic 65788 93.29% 61375 1.22% 2.48 00:00:38 0.00% 0
Why DO http://why.do Go to this report All Web Site Data All Traffic Dec 18, 2013 Mar 18, 2014 All Visits 100.00% Explorer Summary Visits 1,200 600 January 2014 February 2014 March 2014 Acquisition Behavior Conversions Source / Medium Pages / Goal Goal % New Visits Bounce Avg. Visit Visits New Visits Visit Conversion Completions Goal Value Rate Duration Rate 65,788 93.29% 61,375 1.22% 2.48 00:00:38 0.00% 0 $0.00 % of Total: Site Avg: % of Total: Site Avg: Site Site Avg: Site Avg: % of Total: % of Total: 100.00% (65,786) 93.26% 100.03% (61,355) 1.22% Avg: 00:00:38 0.00% 0.00% (0) 0.00% ($0.00) (0.03%) (0.25%) 2.48 (0.00%) (0.00%) (0.00%) 1. google / organic 46,350 (70.45%) 93.78% 43,467 (70.82%) 0.71% 2.42 00:00:35 0.00% 0 (0.00%) $0.00 (0.00%) 2. (direct) / (none) 12,223 (18.58%) 91.47% 11,180 (18.22%) 3.41% 2.67 00:00:48 0.00% 0 (0.00%) $0.00 (0.00%) 3. bing / organic 3,295 (5.01%) 94.54% 3,115 (5.08%) 0.67% 2.45 00:00:35 0.00% 0 (0.00%) $0.00 (0.00%) 4. yahoo / organic 919 (1.40%) 93.69% 861 (1.40%) 0.44% 2.34 00:00:28 0.00% 0 (0.00%) $0.00 (0.00%) 5. r.search.yahoo.com / referral 362 (0.55%) 95.86% 347 (0.57%) 0.83% 2.20 00:00:28 0.00% 0 (0.00%) $0.00 (0.00%) 6. -
GEF Web Style Guide
GEF Web Style Guide Final Report Contract No. 0903/02 Southeast Asia START Regional Center 16 September 2009 Prepared by David W. Moody & Jeanne C. Moody Beaver Wood Associates Alstead, New Hampshire, 30602 USA Page 1 1 Introduction 1.1 Background The Global Environment Facility (GEF)1 is a partnership of 178 countries, international institutions, nongovernmental organizations (NGOs), and the private sector. GEF addresses global environmental issues and supports national sustainable development initiatives. Through its partners, GEF awards grants for projects in six focal areas: biodiversity, climate change, international waters, land degradation, the ozone layer, and persistent organic pollutants. GEF established the International Waters (IW) focal area to help countries work together to overcome cross-border tensions concerning the use of common water supplies in large water systems. Within this focal area, GEF provides grants to assist countries collectively manage their transboundary surface water basins, groundwater basins, and coastal and marine systems. To date, GEF has supported 183 projects across more than 170 countries, including collaborative efforts in 22 transboundary river basins, eight transboundary lake basins, five transboundary groundwater systems, and 19 large marine ecosystems.2 Collectively, the GEF IW focal area has provided $1.1 billion and leveraged an additional $4.2 billion in co-financing. Many multilateral environmental agreements concerning international waters and transboundary water systems are also associated with GEF. In 1994, the GEF and its partner agencies established the International Waters Learning Exchange And Resource Network (IW:LEARN)3 to share experiences and best management practices developed by International Waters projects. IW:LEARN promotes a culture of adaptive learning among GEF IW projects through networking, knowledge sharing, and peer learning among its partner agencies and stakeholders.