Rising to the Top: Evoluoting the Lmprove Retrievol of World Wide
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Internet Economy 25 Years After .Com
THE INTERNET ECONOMY 25 YEARS AFTER .COM TRANSFORMING COMMERCE & LIFE March 2010 25Robert D. Atkinson, Stephen J. Ezell, Scott M. Andes, Daniel D. Castro, and Richard Bennett THE INTERNET ECONOMY 25 YEARS AFTER .COM TRANSFORMING COMMERCE & LIFE March 2010 Robert D. Atkinson, Stephen J. Ezell, Scott M. Andes, Daniel D. Castro, and Richard Bennett The Information Technology & Innovation Foundation I Ac KNOW L EDGEMEN T S The authors would like to thank the following individuals for providing input to the report: Monique Martineau, Lisa Mendelow, and Stephen Norton. Any errors or omissions are the authors’ alone. ABOUT THE AUTHORS Dr. Robert D. Atkinson is President of the Information Technology and Innovation Foundation. Stephen J. Ezell is a Senior Analyst at the Information Technology and Innovation Foundation. Scott M. Andes is a Research Analyst at the Information Technology and Innovation Foundation. Daniel D. Castro is a Senior Analyst at the Information Technology and Innovation Foundation. Richard Bennett is a Research Fellow at the Information Technology and Innovation Foundation. ABOUT THE INFORMATION TECHNOLOGY AND INNOVATION FOUNDATION The Information Technology and Innovation Foundation (ITIF) is a Washington, DC-based think tank at the cutting edge of designing innovation policies and exploring how advances in technology will create new economic opportunities to improve the quality of life. Non-profit, and non-partisan, we offer pragmatic ideas that break free of economic philosophies born in eras long before the first punch card computer and well before the rise of modern China and pervasive globalization. ITIF, founded in 2006, is dedicated to conceiving and promoting the new ways of thinking about technology-driven productivity, competitiveness, and globalization that the 21st century demands. -
A Study on Vertical and Broad-Based Search Engines
International Journal of Latest Trends in Engineering and Technology IJLTET Special Issue- ICRACSC-2016 , pp.087-093 e-ISSN: 2278-621X A STUDY ON VERTICAL AND BROAD-BASED SEARCH ENGINES M.Swathi1 and M.Swetha2 Abstract-Vertical search engines or Domain-specific search engines[1][2] are becoming increasingly popular because they offer increased accuracy and extra features not possible with general, Broad-based search engines or Web-wide search engines. The paper focuses on the survey of domain specific search engine which is becoming more popular as compared to Web- Wide Search Engines as they are difficult to maintain and time consuming .It is also difficult to provide appropriate documents to represent the target data. We also listed various vertical search engines and Broad-based search engines. Index terms: Domain specific search, vertical search engines, broad based search engines. I. INTRODUCTION The Web has become a very rich source of information for almost any field, ranging from music to histories, from sports to movies, from science to culture, and many more. However, it has become increasingly difficult to search for desired information on the Web. Users are facing the problem of information overload , in which a search on a general-purpose search engine such as Google (www.google.com) results in thousands of hits.Because a user cannot specify a search domain (e.g. medicine, music), a search query may bring up Web pages both within and outside the desired domain. Example 1: A user searching for “cancer” may get Web pages related to the disease as well as those related to the Zodiac sign. -
Evaluation of Web-Based Search Engines Using User-Effort Measures
Evaluation of Web-Based Search Engines Using User-Effort Measures Muh-Chyun Tang and Ying Sun 4 Huntington St. School of Information, Communication and Library Studies Rutgers University, New Brunswick, NJ 08901, U.S.A. [email protected] [email protected] Abstract This paper presents a study of the applicability of three user-effort-sensitive evaluation measures —“first 20 full precision,” “search length,” and “rank correlation”—on four Web-based search engines (Google, AltaVista, Excite and Metacrawler). The authors argue that these measures are better alternatives than precision and recall in Web search situations because of their emphasis on the quality of ranking. Eight sets of search topics were collected from four Ph.D. students in four different disciplines (biochemistry, industrial engineering, economics, and urban planning). Each participant was asked to provide two topics along with the corresponding query terms. Their relevance and credibility judgment of the Web pages were then used to compare the performance of the search engines using these three measures. The results show consistency among these three ranking evaluation measures, more so between “first 20 full precision” and search length than between rank correlation and the other two measures. Possible reasons for rank correlation’s disagreement with the other two measures are discussed. Possible future research to improve these measures is also addressed. Introduction The explosive growth of information on the World Wide Web poses a challenge to traditional information retrieval (IR) research. Other than the sheer amount of information, some structural factors make searching for relevant and quality information on the Web a formidable task. -
Internet and Information About Nuclear Sciences
SK00K0107 INTERNET AND INFORMATION ABOUT NUCLEAR SCIENCES. THE WORLD WIDE WEB VIRTUAL LIBRARY: NUCLEAR SCIENCES Jozef KURUC Department of Nuclear Chemistry, Faculty of Natural Sciences, Comenius University, Mlynska dolina CH-1, SK-842 15 Bratislava, Slovak Republic, E-mail: [email protected] Similarly as in other areas, as well as in chemistry, INTERNET has brought revolutionary changes in searching, processing of information and in.the teaching of chemistry [1], The powerful instrument in searching of information in INTERNET are different browsers of the web-pages (www.altavista.com, www.yahoo.com, search.excite.com, www.webcrawier.com, www.iycos.com, infoseeek.go.com, www.hotbot.com, www.zoznam.sk, www.kompas.sk www.seznam.cz and other) [2], but they usually give over-much number of web-pages. Sometimes is ill and slowly to obtain necessary information from so over- much number searched and offered web-pages. By searching in the INTERNET assists the advanced searching, but sometimes it does not conduce to searched information. For assistance by the solving of these problems and for speeding-up of the work serve specialised servers, which give grouped information from certain scientific area and first and foremost links for next relative relevant web-links and web-pages, which are in the area of chemistry, for example, Yahoo- Chemistry-Server [3], list of Mendeleev periodic tables of elements [4], from which each provides certain supplementary information about properties of individual elements, isotopes, occasionally radionuclides. Some of them provide more detail information about radioisotopes [5-7], in nuclear physics it is, for example, Nuclear Info WWW Server [8}. -
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 -
Acquisition Research Sponsored Report Series
65536= 1pt ACQUISITION RESEARCH SPONSORED REPORT SERIES ReSEARCH: A Requirements Search Engine: Progress Report 2 September 2008 by Paige Adams ([email protected]) Pranav Anand ([email protected]) Grant Gehrke ([email protected]) Ralucca Gera ([email protected]) Marco Draeger ([email protected]) Craig Martell ([email protected]) Kevin Squire ([email protected]) Approved for public release, distribution is unlimited. Prepared for: Naval Postgraduate School, Monterey, California 93943 The research presented in this report was supported by the Acquisition Chair of the Grad- uate School of Business & Public Policy at the Naval Postgraduate School. To request Defense Acquisition Research or to become a research sponsor, please contact: NPS Acquisition Research Program Attn: James B. Greene, RADM, USN, (Ret) Acquisition Chair Graduate School of Business and Public Policy Naval Postgraduate School 555 Dyer Road, Room 332 Monterey, CA 93943-5103 Tel: (831) 656-2092 Fax: (831) 656-2253 email: [email protected] Copies of the Acquisition Sponsored Research Reports may be printed from our website www.acquisitionresearch.org Abstract This research addresses three closely related problems. (1) Most current search technology is based on a popularity metric (e.g., PageRank or ExpertRank), but not on the semantic content of the searched document. (2) When building components in a service- oriented architecture (SOA), developers must investigate whether components that meet certain requirements already exist. (3) There is no easy way for writers of requirements documents to formally specify the meaning and domain of their requirements. Our goal in the research presented here is to address these concerns by designing a search engine that searches over the “meanings" of requirements documents. -
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 -
Cut Foliage Grower Volume 15, Number 4 October–December, 2000
EXTENSION Institute of Food and Agricultural Sciences Editor: Robert H. Stamps Christine Taylor Waddill, Dean, Cooperative Extension Cut Foliage Grower Volume 15, Number 4 October–December, 2000 Searching for Information on the Internet Please note: In the fast 1 moving world of the Robert H. Stamps Internet, companies, web sites, addresses, The amount of information available on the Internet is immense and categories, features, etc. growing rapidly. It is estimated that there are 2 billion pages (2) on the change and come and WWW (see Table 1 - glossary) alone. Despite, or perhaps because of, this go rapidly. Therefore, plethora of knowledge, it can be frustrating trying to find information some of the information about a specific topic. Of course, the quality of the information found can contained herein may be obsolete by the time this vary from worthless to extremely useful — but that is a topic for another is published. article. Luckily there are tools that can make the job of finding the information you need easier. These are directories and search engines. In addition, there are metasearch tools that can connect to several directories and/or search engines at a time, purportedly saving you time and effort and returning a greater number of informative hits than available from a single directory or search engine (more on this later). Directories (Table 2) are classification systems created by editors. They are a hierarchal set of specific categories into which selected Web sites are placed. Yahoo, which has evolved into a Web portal (see glossary), started out and still contains a directory. -
Inverse Document Frequency and Web Search Engines Kevin Prey, James C
Inverse Document Frequency and Web Search Engines Kevin Prey, James C. French, Allison L. Powell Charles L. Viles Department of Computer Science* School of Information and Library Science* University of Virginia University of North Carolina, Chapel Hill Charlottesville, VA Chapel Hill, NC {kjp4f | french | alp4g}@cs.virginia.edu [email protected] Technical Report CS-2001-07 February 5, 2001 Analysis based on data collected January 11, 1999 INTRODUCTION adult american anal art Full text searching over a database of moderate size often basketball big black business uses the inverse document frequency, idf = log(N/df), as a car celebrities chat city component in term weighting functions used for document college company computer employment indexing and retrieval. However, in very large databases (e.g. erotic estate florida free internet search engines), there is the potential that the games gay girls high collection size (N) could dominate the idf value, decreasing history internet jobs john magazine men music naked the usefulness of idf as a term weighting component. In this ncaa news nude photos short paper we examine the properties of idf in the context of pics pictures porn porno internet search engines. The observed idf values may also real school service sex shed light upon the indexed content of the WWW. For software state stock stories example, if the internet search engines we survey index texas university video war random samples of the WWW, we would expect similar idf women wrestling xxx young values for the same term across the different search engines. Table 1: Listing of Query Terms ABOUT THE EXPERIMENT To examine the usefulness of idf, we devised the following celebrities 65317 pictures 834806 experiment. -
Google Analytics Search Engines
Google Analytics Search Engines By default, Google Analytics identifies the following list of websites as search engine referrals in your reports. Engine Example Domain Name About http://www.about.com/ Alice http://www.alice.com/ Alltheweb http://www.alltheweb.com/ Altavista http://www.altavista.com/ AOL http://www.aol.com/ Ask http://www.ask.com/ Baidu http://www.baidu.com/ Bing http://www.bing.com/ CNN http://www.cnn.com/SEARCH/ Daum http://www.daum.net/ Ekolay http://www.ekolay.net/ Eniro http://www.eniro.se/ Google All Google Search domains (e.g. www.google.com, www.google.co.uk, etc) Kvasir http://www.kvasir.no/ Live http://www.bing.com/ Lycos http://www.lycos.com/ Mamma http://www.mamma.com/ MSN http://www.msn.com/ Mynet http://www.mynet.com/ Najdi http://www.najdi.org.mk/ Naver http://www.naver.com/ Netscape http://search.netscape.com/ O*NET http://online.onetcenter.org/ Ozu http://www.ozu.es/ PCHome http://www.pchome.com/ Rambler http://www.rambler.ru/ Search http://www.search.com/ Sesam http://sesam.no/ Seznam http://www.seznam.cz/ Szukacz http://www.szukacz.pl/ Terra http://www.terra.com/ Virgilio http://search.virgilio.it/ Voila http://www.voila.fr/ Wirtulana Polska http://www.wp.pl/ Yahoo http://www.yahoo.com/ Yam http://www.yam.com/ Yandex http://www.yandex.com/ . -
Google, Yahoo, Altavista, Ask and Bing)
International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 4 Issue: 8 190 - 195 _______________________________________________________________________________________________ A Review Paper on Various Search Engines (Google, Yahoo, Altavista, Ask and Bing) Manika Dutta Dr. K. L. Bansal Research Scholar Professor Department of Computer Science Department of Computer Science Himachal Pradesh University, Shimla. Himachal Pradesh University Shimla. ( [email protected]) ( [email protected]) Abstract:- Search engines are used in the web as a tool for information retrieval. As the web is a huge repository of heterogeneous and unstructured data so to filter out relevant information from unnecessary ones search engines are needed. Search engines usually consists of crawling module, page repository, indexing module, querying module and ranking module. The inter communication between these modules describes the working methodology of a search engine. This paper aims to focus on the comparative analysis of five major search engines i.e Google, Yahoo, Altavista, Ask and Bing in a tabular form based on some features. The features include search operator, search web, search images, search videos, search news, search maps, search books, advance search, change background, change search settings, display number of results, shopping, translation services, multi-language support, questions/answers, directory, advertising programs, business services, themes, case sensitive, finance, safe search, search pad, career and preferences. Google stands out as the best search engine amongst all search engines, which works on Page Rank algorithm. Page Rank is a numeric value which determines the importance of a web page by calculating the number of backlinks. Keywords- PageRank, Search engine. __________________________________________________*****_________________________________________________ I. -
The Overview of Web Search Engines
The Overview of Web Search Engines Sunny Lam Department of Computer Science University of Waterloo Waterloo, Ontario Canada [email protected] February 9, 2001 Abstract The World Wide Web allows people to share information globally. The amount of information grows without bound. In order to extract information that we are interested in, we need a tool to search the Web. The tool is called a search engine. This survey covers different components of the search engine and how the search engine really works. It provides a background understanding of information retrieval. It discusses different search engines that are commercially available. It investigates how the search engines find information in the Web and how they rank its pages to the given query. Also, the paper provides guidelines for users on how to use search engines. Keywords: Search Engines, World Wide Web, Information Retrieval, Page Ranking, Google, Metasearch, Web Crawlers, and Web Directories 1 Introduction 1.1 Motivation The World Wide Web (also known as “WWW”, “Web, or “W3”) is the universe of network-accessible information, the embodiment of human knowledge. It allows people to share information globally. That means it allows anyone to read and publish documents freely. The World Wide Web hides all the detail of communication protocols, machine locations, and operating systems from the user. It allows users to point to any other Web pages without any restrictions. Brin defines the Web as follows (1998): “The Web is a vast collection of completely uncontrolled heterogeneous documents”. 1 The Web is accessible to anyone via a Web browser. Search engines answer tens of millions of queries every day (Brin, 1998).