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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. -
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
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 . -
Information Rereival, Part 1
11/4/2019 Information Retrieval Deepak Kumar Information Retrieval Searching within a document collection for a particular needed information. 1 11/4/2019 Query Search Engines… Altavista Entireweb Leapfish Spezify Ask Excite Lycos Stinky Teddy Baidu Faroo Maktoob Stumpdedia Bing Info.com Miner.hu Swisscows Blekko Fireball Monster Crawler Teoma ChaCha Gigablast Naver Walla Dogpile Google Omgili WebCrawler Daum Go Rediff Yahoo! Dmoz Goo Scrub The Web Yandex Du Hakia Seznam Yippy Egerin HotBot Sogou Youdao ckDuckGo Soso 2 11/4/2019 Search Engine Marketshare 2019 3 11/4/2019 Search Engine Marketshare 2017 Matching & Ranking matched pages ranked pages 1. 2. query 3. muddy waters matching ranking “hits” 4 11/4/2019 Index Inverted Index • A mapping from content (words) to location. • Example: the cat sat on the dog stood on the cat stood 1 2 3 the mat the mat while a dog sat 5 11/4/2019 Inverted Index the cat sat on the dog stood on the cat stood 1 2 3 the mat the mat while a dog sat a 3 cat 1 3 dog 2 3 mat 1 2 on 1 2 sat 1 3 stood 2 3 the 1 2 3 while 3 Inverted Index the cat sat on the dog stood on the cat stood 1 2 3 the mat the mat while a dog sat a 3 cat 1 3 dog 2 3 mat 1 2 Every word in every on 1 2 web page is indexed! sat 1 3 stood 2 3 the 1 2 3 while 3 6 11/4/2019 Searching the cat sat on the dog stood on the cat stood 1 2 3 the mat the mat while a dog sat a 3 cat 1 3 query dog 2 3 mat 1 2 cat on 1 2 sat 1 3 stood 2 3 the 1 2 3 while 3 Searching the cat sat on the dog stood on the cat stood 1 2 3 the mat the mat while a dog sat a 3 cat -
Websites from Presentation 4 Handout
Websites from Presentation Search Engines Google https://www.google.com/ Google Scholar https://scholar.google.com/ Google Advanced Search https://www.google.com/advanced_search USA.gov https://www.usa.gov/ Duck Duck Go https://duckduckgo.com/ Bing https://www.bing.com/ Yahoo https://www.yahoo.com/ Yahoo Advanced Search http://www.vcrlter.virginia.edu/yahoosearch.html Excite http://www.excite.com/ Lycos http://www.lycos.com/ Dogpile https://www.dogpile.com/ Yippy https://yippy.com/ Webopedia https://www.webopedia.com/ Way Back Machine https://archive.org/index.php People Search Engines True People Search https://www.truepeoplesearch.com/ White Pages https://www.whitepages.com/ Public Record Directories Search Systems http://publicrecords.searchsystems.net/ BRB https://www.brbpublications.com/ Online Searches https://publicrecords.onlinesearches.com/ Portico http://www.indorgs.virginia.edu/portico/home.html Black Book Online https://www.blackbookonline.info/ NETR Online https://publicrecords.netronline.com/ Legal Dockets https://legaldockets.com/ Law Enforcement Directory https://www.policeone.com/law-enforcement-directory/ Public Record Retriever Network https://www.prrn.us/content/Search.aspx Courts and Criminal Mississippi Electronic Courts (MEC) https://courts.ms.gov/mec/mec.php PACER https://pacer.login.uscourts.gov/csologin/login.jsf Court Listener & RECAP https://www.courtlistener.com/ Mississippi Administrative Office of Courts https://courts.ms.gov/aoc/aoc.php Tribal Court Clearinghouse https://www.tribal-institute.org/ United -
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. -
Today's Tool: Sibo Diet Info
Today’s Tool: Sibo Diet Info Small intestinal bacterial overgrowth (SIBO) is a serious condition affecting the small intestine. Below are Web searches that can help you find more information about Sibo recipes and how they can help you. Sibo Diet Definition and Information Bing – Define: Sibo diet Cooking Light – Sibo Google – Define: Sibo diet Mayo Clinic – Sibo Mayo Clinic Sibo diet Recipe Searches Search Engines 100 Search Engines: sibo recipe Bing search – sibo recipe Bing search, videos – Sibo recipe Dogpile search – sibo dinner recipe Dogpile search – sibo recipes easy Dogpile search – sibo recipe ideas 1 Dogpile search – sibo recipe lunch Dogpile search – sibo pizza recipe Excite search - +sibo +dinner +recipe Excite search - +sibo +lunch +recipe Google search – Sibo recipe Google search – +Sibo +lunch +recipe Google search, videos – +Sibo +lunch +recipe Google search - Sibo recipe vegan Iseek search – sibo recipe Webcrawler search - +sibo +breakfast +recipe Webcrawler search, videos - +sibo +breakfast +recipe Webcrawler search - +sibo lunch recipe Webcrawler search - +sibo +dinner +recipe Yahoo search - +sibo +dinner +recipes Yahoo search, videos - +sibo +dinner +recipes Yippy search – sibo recipe Other Recipe Searches The Healthy Gut: Sibo Recipes 2 My Sibo Recipes Sibo Center Recipes YouTube – sibo recipe, videos Yummly – Sibo recipes Shown below are the results from some typical Sibo Web searches. Barnes and Noble – sibo cookbook Amazon – sibo cookbook Bing – sibo diet Google search – types of Sibo diets The Healthy Gut – Spiced Carrot and Lentil Soup Pinterest – sibo YouTube – sibo diet 3 . -
Download Download
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. -
Implementing Serelec with EGG
I.J. Information Technology and Computer Science, 2012, 3, 8-15 Published Online April 2012 in MECS (http://www.mecs-press.org/) DOI: 10.5815/ijitcs.2012.03.02 Implementing SEReleC with EGG Vishwas J Raval M Tech CSE Scholar, Electronics & Computer Engineering Department, Indian Institute of Technology Roorkee, Uttarakhand, India Email: [email protected] Dr. Padam Kumar Professor & Head, Electronics & Computer Engineering Department, Indian Institute of Technology Roorkee, Uttarakhand, India Email: [email protected] Abstract — The World Wide Web has immense resources for 1) They search the Internet or select pieces of the all kind of people for their specific needs. Searching on the Internet based on important words - crawling Web using search engines such as Google, Bing, Ask have 2) They keep an index of the words they find, and become an extremely common way of locating information. where they find them - indexing Searches are factorized by using either term or keyword 3) They allow users to look for words or sequentially or through short sentences. The challenge for the user is to come up with a set of search combinations of words found in that index - terms/keywords/sentence which is neither too large (making searching the search too specific and resulting in many false negatives) Early search engines used to hold an index of a few nor too small (making the search too general and resulting in hundred thousand pages and documents, and received many false positives) to get the desired result. No matter, how maybe one or two thousand inquiries each day. Today, a the user specifies the search query, the results retrieved, top search engine indexes hundreds of millions of pages, organized and presented by the search engines are in terms of and respond to tens of millions of queries per day. -
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