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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 -
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. -
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. -
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. -
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 -
Time Series Analysis of Google, Bing, Yahoo! & Baidu Using Simple
International Journal of Scientific and Research Publications, Volume 6, Issue 9, September 2016 455 ISSN 2250-3153 Time Series Analysis of Google, Bing, Yahoo! & Baidu Using Simple Keyword “Plagiarism” Peerzada Mohammad Iqbal1, Dr. Abdul Majid Baba2, Aasim Bashir3 1Professional Assistant, Sher-e-Kashmir University of Agricultural Sciences & Technology of Kashmir (SKUAST-K), India 2Head, Department of Library and Information Science, The University of Kashmir, India 3Assistant Professor, Department of Computer Science, The University of Kashmir, India Abstract- This paper provides a comprehensive research on time ranking of results. Nowadays search engine optimization series analysis of four search engines viz., Google, Bing, Yahoo! industries are present which design and redesign Web pages in and Baidu using simple keyword “Plagiarism” from the field of order to enhance their rankings within a specific search engine Library and Information Science. The time series analysis is used (e.g., search engine optimization Inc., www.seoine.com/). to forecast result fluctuation using series of data which was Therefore in the crux it can be concluded that the First ten results collected on daily basis for about 100 Days, to generate 50 days retrieved for a query have major chances of being visited by the of projected data, and latter a trend line was used to compare the users. In addition to the examination of changes overtime for the forecast of select search engines. The evaluation reveal that Bing top ten results related to a query of the largest search engine, shows a positive secular trend while Baidu, Yahoo! and Google which at the times of first data collection were Google, yahoo show a downward or negative secular trend. -
Resources for Patrons
i This page intentionally left blank iii Second Edition Irene E. McDermott Edited by Barbara Quint Medford, New Jersey iv First printing, 2006 The Librarian’s Internet Survival Guide: Strategies for the High-Tech Reference Desk, Second Edition Copyright © 2006 by Irene E. McDermott All rights reserved. No part of this book may be reproduced in any form or by any electronic or mechanical means, including information storage and retrieval systems, without permission in writing from the publisher, except by a reviewer, who may quote brief passages in a review. Published by Information Today, Inc., 143 Old Marlton Pike, Medford, New Jersey 08055. Publisher’s Note: The author and publisher have taken care in preparation of this book but make no expressed or implied warranty of any kind and assume no responsibility for errors or omissions. No liability is assumed for incidental or consequential damages in connection with or arising out of the use of the information or programs contained herein. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book and Information Today, Inc. was aware of a trademark claim, the designations have been printed with initial capital letters. Library of Congress Cataloging-in-Publication Data McDermott, Irene E., 1959- The librarian's Internet survival guide : strategies for the high-tech reference desk / by Irene E. McDermott ; edited by Barbara Quint.-- 2nd ed. p. cm. Includes bibliographical references and index. ISBN 1-57387-235-0 1. Computer network resources--Directories. 2. Web sites--Directories. 3. -
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. -
The Commodification of Search
San Jose State University SJSU ScholarWorks Master's Theses Master's Theses and Graduate Research 2008 The commodification of search Hsiao-Yin Chen San Jose State University Follow this and additional works at: https://scholarworks.sjsu.edu/etd_theses Recommended Citation Chen, Hsiao-Yin, "The commodification of search" (2008). Master's Theses. 3593. DOI: https://doi.org/10.31979/etd.wnaq-h6sz https://scholarworks.sjsu.edu/etd_theses/3593 This Thesis is brought to you for free and open access by the Master's Theses and Graduate Research at SJSU ScholarWorks. It has been accepted for inclusion in Master's Theses by an authorized administrator of SJSU ScholarWorks. For more information, please contact [email protected]. THE COMMODIFICATION OF SEARCH A Thesis Presented to The School of Journalism and Mass Communications San Jose State University In Partial Fulfillment of the Requirement for the Degree Master of Science by Hsiao-Yin Chen December 2008 UMI Number: 1463396 INFORMATION TO USERS The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleed-through, substandard margins, and improper alignment can adversely affect reproduction. In the unlikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. ® UMI UMI Microform 1463396 Copyright 2009 by ProQuest LLC. All rights reserved. This microform edition is protected against unauthorized copying under Title 17, United States Code. ProQuest LLC 789 E.