Alternatives to Google: Some Other Search Tools Worth a Try
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Awareness and Utilization of Search Engines for Information Retrieval by Students of National Open University of Nigeria in Enugu Study Centre Library
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln 2020 Awareness and Utilization of Search Engines for Information Retrieval by Students of National Open University of Nigeria in Enugu Study Centre Library SUNDAY JUDE ONUH National Open University of Nigeria, [email protected] OGOEGBUNAM LOVETH EKWUEME National Open University of Nigeria, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/libphilprac Part of the Library and Information Science Commons ONUH, SUNDAY JUDE and EKWUEME, OGOEGBUNAM LOVETH, "Awareness and Utilization of Search Engines for Information Retrieval by Students of National Open University of Nigeria in Enugu Study Centre Library" (2020). Library Philosophy and Practice (e-journal). 4650. https://digitalcommons.unl.edu/libphilprac/4650 Awareness and Utilization of Search Engines for Information Retrieval by Students of National Open University of Nigeria in Enugu Study Centre Library By Jude Sunday Onuh Enugu Study Centre Library National Open University of Nigeria [email protected] & Loveth Ogoegbunam Ekwueme Department of Library and Information Science National Open University of Nigeria [email protected] Abstract This study dwelt on awareness and utilization of search engines for information retrieval by students of National Open University of Nigeria (NOUN) Enugu Study centre. Descriptive survey research was adopted for the study. Two research questions were drawn from the two purposes that guided the study. The population consists of 5855 undergraduate students of NOUN Enugu Study Centre. A sample size of 293 students was used as 5% of the entire population. -
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 -
Social Media at Legal Division Programs Cont
Summer 2010 The Newsletter of the Legal Division of The Special Libraries Association Volume 17, Number 3 Social Media at Legal Inside Division Programs Social Media at Legal Division by Stephanie Davidson, (@stephdavidson), Head of Public Services & Assistant Programs Professor of Library Administration, University of Illinois College of Law Library, 2010 Stephanie Davidson . 1 Academic Law Librarian Grant Recipient Editor’s Notes Liz Smith . 2 As a new member of SLA and the about programs could be shared Legal Division and a first-time attendee between participants and attendees and From the Board Room Constance Ard . 3 of the SLA annual conference, there even with SLA members and others at were many programs that caught my home. The most interesting example Conference Review: BNA Breakfast and eye before I arrived in New Orleans. I observed during the conference was Legal Division Business Meeting Certainly all of this year’s Legal Division in the 10 AM Tuesday program slot, as Kami Bedard . 4 programs were of interest, though Steve I tweeted from Steve Arnold’s program Conference Review: “SPOTLIGHT Arnold’s “Emerging Technologies: Real- and simultaneously monitored tweets SESSION—Emerging Technologies: Time Search” and the panel on “Law from at least three other sessions. Real-time Search” Librarianship Off the Cuff,” were most Emily Rushing . 6 At the same time Steve Arnold’s “Real applicable to my work and experience Conference Review: “60 Sites in 60 level (“Cases, Codes & Context,” was Time Search” program was being held Minutes” marketed to non-law librarians). in the VirtualU Spotlight Session room Virginia M . -
BUEC Buzz Archive (1999-2005)
BUEC Buzz: Archive (1999-2005) Simon Fraser University Library SFU.CA Burnaby | Surrey | Vancouver SFU Online | A-Z Links | SFU Search Home My Library Help Find Library Search Home › Help › Subject Guides › Business Administration › BUEC Buzz › BUEC BUZZ Issue -= BUEC BUZZ: Information Resources in Business and Economics (#993-1) =- **Announcing the first issue of BUEC BUZZ: Information Resources in Business and Economics.** Details about this newsletter follow, but the summary version is that I have created it as a means of informing the faculty and graduate students in Business and Economics of the many relevant information resources that I use as I help people with their research every day. I will generally send new issues out on a weekly basis, although this schedule may stretch to bi-weekly depending on how much I have to say and how busy I am. No action is required of you. Just delete or archive these messages as you see fit. On the other hand, suggestions about resources to mention for the benefit of your colleagues are always welcome. And now the details: 1. WHY is this newsletter necessary? 2. WHAT will be in this newsletter? 3. WHEN will each issue come out? 4. WHERE can I find old issues of the newsletter? 5. WHO will receive it? 6. SUGGESTIONS? ********************************************************************** **1. WHY is this newsletter necessary? As the Business/Economics Liaison Librarian, my job is to be the "library's face" for the Business Faculty and the Economics Department. That is, I am a personal contact for people in those areas who have a question about a library resource, policy, or procedure. -
28 Buscadores Libro.Indb
notes fromebcenter The Converging Search Engine and Advertising Industries Av. Pearson, 21 08034 Barcelona Tel.: 93 253 42 00 Fax: 93 253 43 43 www.ebcenter.org Top Ten Technologies Project The Converging Search Engine and Advertising Industries Authors: Prof. Brian Subirana, Information Systems, IESE Business School David Wright, research Assistant, e-business Center Pwc&IESE Editors: Larisa Tatge and Cristina Puig www.ebcenter.org This dossier is part of the Top Ten Technologies Project. For more information please visit http://www.ebcenter.org/topten You can an also find other projects at http://www.ebcenter.org/proyectos e-business Center PwC&IESE edits a newsletter every fifteen days, available at www.ebcenter.org © 2007. e-business Center PricewaterhouseCoopers & IESE. All rights reserved. notes fromebcenter The Converging Search Engine and Advertising Industries Authors: Prof. Brian Subirana, Information Systems, IESE Business School David Wright, Research assistant, e-business Center Pwc&IESE notes fromebcenter Table of Contents Executive Summary ..5 Introduction ..7 1. Technology Description ..9 1.1. History of Text-Based Search Engines ..9 1.2. Description of Applications ..9 1.3. Substitute Products ..11 2. Description of the Firms ..13 2.1. Search Engines and Their Technology ..14 2.2. Competitive Forces ..17 2.3. Consumer Preferences in Search ..22 2.4. New Search Technologies ..23 2.5. Search-Engine Optimization ..25 3. Affected Sectors ..27 3.1. Advertising ..27 3.2. Search-Engine Advertising ..28 3.3. How Search Advertising Works ..32 3.4. Digital Intermediaries ..38 3.5. Original Equipment Manufacturers (OEMs) ..39 3.6. Software and Applications Providers ..39 3.7. -
An Innovative Video Searching Approach Using Video Indexing
IJCSN - International Journal of Computer Science and Network, Volume 8, Issue 2, April 2019 ISSN (Online) : 2277-5420 www.IJCSN.org Impact Factor: 1.5 An Innovative Video Searching Approach using Video Indexing 1 Jaimon Jacob; 2 Sudeep Ilayidom; 3 V.P.Devassia [1] Department of Computer Science and Engineering, Govt. Model Engineering College, Thrikkakara, Ernakulam,Kerala,, India,682021 [2] Division of Computer Engineering, School of Engineering, Cochin University of Science and Technology, Thrikkakara, Ernakulam, Kerala,, India,682022 [3] Former Principal, Govt. Model Engineering College, Thrikkakara, Ernakulam,Kerala,, India,682021 Abstract - Searching for a Video in World Wide Web has augmented expeditiously as there’s been an explosion of growth in video on social media channels and networks in recent years. At present video search engines use the title, description, and thumbnail of the video for identifying the right one. In this paper, a novel video searching methodology is proposed using the Video indexing method. Video indexing is a technique of preparing an index, based on the content of video for the easy access of frames of interest. Videos are stored along with an index which is created out of video indexing technique. The video searching methodology check the content of index attached with each video to ensure that video is matching with the searching keyword and its relevance ensured, based on the word count of searching keyword in video index. The video searching methodology check the content of index attached with each video to ensure that video is matching with the searching keyword and its relevance ensured, based on the word count of searching keyword in video index. -
Building an Open Source Meta-Search Engine
Building an Open Source Meta-Search Engine A. Gulli A. Signorini Dipartimento di Informatica, University of Pisa University of Iowa, Computer Science [email protected] [email protected] ABSTRACT In the academic literature, there are many proposals for In this short paper we introduce Helios, a flexible and effi- meta-searching. [9] proposes to work by downloading the cient open source meta-search engine. Helios currently runs individual documents, rather than working with the list of on the top of 18 search engines (in Web, Books, News, and snippets returned by search engines. This approach has ev- Academic publication domains), but additional search en- ident performance problems. [10] reports a survey of tech- gines can be easily plugged in. We also report some perfor- niques that have been proposed to tackle several underlying mance mesured during its development. challenges in building a meta-search engine. [5] discusses methods for improving answer relevance in meta-search en- Categories and Subject Descriptors gines. [11, 12, 6] propose several strategies for combining H.3.3 [Information Storage And Retrieval]: Informa- the ranked results returned from multiple search engines. tion Search and Retrieval Our contribution: In this short paper we introduce Helios, General Terms a complete meta-search engine for retrieving, parsing, merg- Design, Experimentation, Measurement ing, and reporting results provided by many search engines. Our contributions are the followings: Keywords (1) Helios is a full working open-source meta-search engine Meta Search Engines, Open Source available at http://www.cs.uiowa.edu/∼asignori/helios/. Dif- ferent research groups can use the system to interact with 1. -
SEO-A Review Sonu B
International Journal of Research and Scientific Innovation (IJRSI) | Volume V, Issue II, February 2018 | ISSN 2321–2705 SEO-A Review Sonu B. Surati, Ghanshyam I. Prajapati Department of Information Technology, Shri S’ad Vidya Mandal Institute of Technology, Bharuch, Gujarat, India Abstract— Search Engine Optimization (SEO) is the process of affecting online visibility of a website or web page. This is important to improve rank of search result for website and get more page views, which are requested by user and these users can be converted into customers. A Search Engine Optimization may target on different search engines like image, video, academic, news, industry etc. and using these engine ranks they provide better and optimized result for user. These ranks help them to view popular page among the number of page available in the (non-paid) search result. Also, SEO is to help website managers to improve traffic of website, to making site friendly, to building link, and marketing unique value of site. SEO classified in two categories as either white hat SEO or black hat SEO. White hats tend to produce results that last a long time, whereas black hats anticipate that their sites may eventually be banned either temporarily or permanently. SEO is used to improve their frames and create more economic effectiveness and social effectiveness and also they can focus on national and international searcher(s). Keywords— Search Engine Optimization, White Hat, Black Hat, Link- Building, Marketing, Website, Social Sharing, Ranking. I. INTRODUCTION Fig.1 History of SEO search engine is software that is designed to search for So using cluster k- means algorithm solve delay problems, A information on World Wide Web. -
A Method for a Small Web Site to Add Some Video Sharing Features
LiU-ITN-TEK-A--08/013--SE A method for a small web site to add some video sharing features Juan Lucas Madurga Martín-Serrano 2008-01-31 Department of Science and Technology Institutionen för teknik och naturvetenskap Linköping University Linköpings Universitet SE-601 74 Norrköping, Sweden 601 74 Norrköping LiU-ITN-TEK-A--08/013--SE A method for a small web site to add some video sharing features Examensarbete utfört i datavetenskap vid Tekniska Högskolan vid Linköpings unversitet Juan Lucas Madurga Martín-Serrano Examinator Bengt Lennartsson Norrköping 2008-01-31 Upphovsrätt Detta dokument hålls tillgängligt på Internet – eller dess framtida ersättare – under en längre tid från publiceringsdatum under förutsättning att inga extra- ordinära omständigheter uppstår. Tillgång till dokumentet innebär tillstånd för var och en att läsa, ladda ner, skriva ut enstaka kopior för enskilt bruk och att använda det oförändrat för ickekommersiell forskning och för undervisning. Överföring av upphovsrätten vid en senare tidpunkt kan inte upphäva detta tillstånd. All annan användning av dokumentet kräver upphovsmannens medgivande. För att garantera äktheten, säkerheten och tillgängligheten finns det lösningar av teknisk och administrativ art. Upphovsmannens ideella rätt innefattar rätt att bli nämnd som upphovsman i den omfattning som god sed kräver vid användning av dokumentet på ovan beskrivna sätt samt skydd mot att dokumentet ändras eller presenteras i sådan form eller i sådant sammanhang som är kränkande för upphovsmannens litterära eller konstnärliga anseende eller egenart. För ytterligare information om Linköping University Electronic Press se förlagets hemsida http://www.ep.liu.se/ Copyright The publishers will keep this document online on the Internet - or its possible replacement - for a considerable time from the date of publication barring exceptional circumstances. -
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. -
Internet Debate Research Rich Edwards, Baylor University 2012
Internet Debate Research Rich Edwards, Baylor University 2012 Terms Internet Provider: The commercial service used to establish a connection to the Internet. Examples of a service provider are America Online, Sprint, ATT, MSN, Road Runner, etc. Internet Browser: The software used to manipulate information on the Internet. The four major browsers in use are Chrome (the Google product), Mozilla Firefox (the successor to Netscape), Safari (the Apple product) and Internet Explorer (the Microsoft product). Each type of browser will give you access to the same group of search engines, which is the main thing you will care about. Firefox has one feature that other browsers lack: it can report to you the last revision date of a Web page (select “Page Info” from the top “Tools” menu to access this function). I teach debaters that a Web page may be dated from the last revision date if no other date is shown on the page; Internet Explorer, Chrome and Safari offer no way to know this date. URL: This stands for Universal Resource Locator. It is the http://www.baylor.edu etc. Internet Search Engine: The software used to search for information on the Internet. You will use the same group of search engines, regardless of which browser (Explorer, Firefox, Chrome, or Safari) you may be using. Examples of search engines are Google, Bing (formerly Microsoft Live), AllTheWeb, HotBot, Teoma, InfoSeek, Yahoo, Excite, LookSmart, and AltaVista. I have described the strengths and weaknesses of the various search engines in later paragraphs. My personal favorites are Google and Bing for policy debate research and the Yahoo Directory Search for Lincoln Douglas research. -
IASA Journal 35 CS3-2.Indd
Article The VIDI-Video semantic video search engine Marco Bertini, Università di Firenze, Italy, Marco Rendina, Fondazione Rinascimento Digitale, Italy128 Introduction Video is becoming vital to society and economy. It plays a key role in information distribution and access, and it is also becoming the natural form of communication on the Internet and via mobile devices. The massive increase in digital audiovisual information will pose high demands on advanced storage and retrieval engines, and it is certain that consumers and professionals will need advanced storage and search technologies for the management of large-scale video assets. Current search engines, however, mostly rely on keyword-based access that uses manually annotated metadata, and do not allow for content-based search of images or videos. At present, even state-of-the-art video search engines are able to annotate automatically only a limited set of semantic concepts, and retrieval is usually allowed using only a keyword-based approach based on a lexicon. The VIDI-Video project, funded in the 6th Framework Program by the EU, has taken on the challenge of creating substantially enhanced semantic access to video. The project has aimed to integrate and develop state-of-the-art components from many technologies — such as machine learning, audio event detection, video processing, visual feature processing, knowledge modeling and management, interaction and visualization — into a fully implemented audiovisual search engine, combining large numbers of audiovisual concepts and