How Search Engine Works
Total Page:16
File Type:pdf, Size:1020Kb

Load more
Recommended publications
-
Building a Scalable Index and a Web Search Engine for Music on the Internet Using Open Source Software
Department of Information Science and Technology Building a Scalable Index and a Web Search Engine for Music on the Internet using Open Source software André Parreira Ricardo Thesis submitted in partial fulfillment of the requirements for the degree of Master in Computer Science and Business Management Advisor: Professor Carlos Serrão, Assistant Professor, ISCTE-IUL September, 2010 Acknowledgments I should say that I feel grateful for doing a thesis linked to music, an art which I love and esteem so much. Therefore, I would like to take a moment to thank all the persons who made my accomplishment possible and hence this is also part of their deed too. To my family, first for having instigated in me the curiosity to read, to know, to think and go further. And secondly for allowing me to continue my studies, providing the environment and the financial means to make it possible. To my classmate André Guerreiro, I would like to thank the invaluable brainstorming, the patience and the help through our college years. To my friend Isabel Silva, who gave me a precious help in the final revision of this document. Everyone in ADETTI-IUL for the time and the attention they gave me. Especially the people over Caixa Mágica, because I truly value the expertise transmitted, which was useful to my thesis and I am sure will also help me during my professional course. To my teacher and MSc. advisor, Professor Carlos Serrão, for embracing my will to master in this area and for being always available to help me when I needed some advice. -
Wikia Search: La Transparencia Es Un Arma Cargada De Futuro Por Fabrizio Ferraro
Wikia search: la transparencia es un arma Cargada de futuro Por Fabrizio Ferraro Lo que hace de Wikia Search un proyecto potencialmente innovador no es ni la intervención del Claves factor humano ni la calidad de los resultados de las búsquedas. Su posible ventaja competitiva es la transparencia, que podría convertirlo en el buscador más 1 Wikia Search se basa en el concepto del wiki, un término fiable en cuanto a la neutralidad de sus resultados. que designa a las sedes web que se nutren de los Sin embargo, Wikia Search no ha empezado con buen pie. contenidos que aportan los propios usuarios. El ejemplo “Una de las mayores decepciones que he tenido la de wiki más célebre es desgracia de tener que comentar”, se afirma en la crítica Wikipedia, que Nielsen situaba en noveno lugar en el del influyente blog de tecnología TechCrunch. La mayoría ranking de sedes más de artículos de la prensa y de los blogs reflejan visitadas por los internautas sentimientos parecidos. Es una reacción chocante por estadounidenses a finales de 2007. cuanto han sido estos mismos medios los que han creado más expectativas sobre el nuevo motor de búsqueda “social” llamado a disputarle el trono a Google. El buscador de Wikia 2 Search utiliza tecnología de Las críticas se han ensañado especialmente con los código abierto que, paupérrimos resultados que arroja el nuevo motor de contrariamente a la que utilizan sus rivales, permite a búsqueda en comparación con los que ofrece Google. los propios usuarios aportar Tampoco ha gustado que la tan cacareada intervención mejoras a los algoritmos que humana en la ordenación de los resultados no esté ordenan los resultados del buscador. -
Wie Funktionieren Suchmaschinen?
Schriftenreihe der Abteilung "Organisation und Technikgenese" des Forschungsschwerpunkts Technik-Arbeit-Umwelt am WZB FS II 98-104 Reisen ohne Karte Wie funktionieren Suchmaschinen? Von Tilman Baumgärtel [email protected] Institut für Sozialwissenschaften Fachbereich Umwelt und Gesellschaft, TU Berlin und Wissenschaftszentrum Berlin für Sozialforschung GmbH (WZB) Reichpietschufer 50, 10785 Berlin Telefon (030) 254 91 - 0, Fax (030) 254 91 - 684 Zusammenfassung Suchmaschinen sind die Eingangstore zum Internet. Doch obwohl Netz-User die Suchmaschinen bei fast jeder „Surftour" benutzen, wissen nur die wenigsten ihrer Nutzer, wie sie funktionieren. Dieses Papier geht der Frage nach, ob die zentrale Position von Suchmaschinen im Netz auch zu einer Zentralisierung des Internet fuhren kann. Durch eine detaillierte Darstellung der Funktionsweise der Search Engines wird gezeigt, daß sie nicht pauschal als Instanzen betrachtet werden können, die dem „unstrukturierten", „hierarchiefreien" Internet ein Zentrum und eine Hierarchie aufzwingen. Technische Einzelaspekte erscheinen jedoch trotzdem problematisch: Besonders Suchmaschinen, die - wie Lycos - die angebliche Beliebtheit einer Site zum Maßstab ihrer Beurteilung machen, tragen dazu bei, im Netz eine hierarchische Gliederung zu voranzutreiben. Abstract Search Engines are the entrance doors to the internet. But despite the fact that net surfer use them almost every time they go online, most of them don't know how they actually work. This discussion paper addresses the question, whether the central position of search engines can lead to a centralization of the internet. A detailed technical analysis of the search engines leads to the conclusion that they cannot simply be considered as the main authorities that impose a center and a hierarchy on the supposedly „unstructured", „non-hierarchical" Internet. -
Google Maths
Google Maths Philip Knight March 13, 2009 Outline • Brief history of search engines • Google and Googleplex • Web as a graph • Link Analysis • Search 3.0, 4.0, 5.0, . 1 History • Archie (1990), Veronica and Jughead (1993) • WWW Wanderer, ALIWEB(1993) • WWW Worm, JumpStation, RBSE (1993) • WebCrawler (1994) • Yahoo, Lycos (1994), AltaVista (1995) • Google (1998) 2 Google and Googleplex • Founded by Larry Page and Sergei Brin. • “Scraped together” $1000000 in 1998 to start up. 3 Google and Googleplex • Founded by Larry Page and Sergei Brin. • “Scraped together” $1000000 in 1998 to start up. • First office a garage (9/98). • By 6/99 had $25000000 in funding. 3 Google and Googleplex • Founded by Larry Page and Sergei Brin. • “Scraped together” $1000000 in 1998 to start up. • First office a garage (9/98). • By 6/99 had $25000000 in funding. • Launched search engine 9/99,“world’s biggest” 9 months later. 3 Google and Googleplex • Founded by Larry Page and Sergei Brin. • “Scraped together” $1000000 in 1998 to start up. • First office a garage (9/98). • By 6/99 had $25000000 in funding. • Launched search engine 9/99,“world’s biggest” 9 months later. • 14142135 shares floated in 2004 for $2718281828. • Current market value is $100, 000, 000, 000. 3 Fundamental Problems A successful search engine requires • A well-maintained index. • Effective presentation of results. • A good business model. • Properly ordered results. 4 Web As A Graph • Think of web as a collection of vertices and edges. • Vertices (V) are web pages. • Edges (E) are links. • Web is a directed graph G(V, E): edge goes from vi to vj if page i links to page j. -
I. Hidden Features of the Major Search Engines
“When librarians rule the world: the skills and tools we need to thrive in a Web 2.0 world” Presentation by Mary Ellen Bates , www.BatesInfo.com , held on 29 th February 2008, Zentral- und Landesbibliothek Berlin Compiled by Anke Bruns¹ and Susanne Schaper² ¹MPDL, Munich / GWDG, Göttingen, [email protected] ²MPI for terrestrial Microbiology, Marburg, [email protected] As Mary Ellen Bates’ presentation was only available on paper and not on the web, we have put together much of her information in this report, using her own structure and headings. The URLs mentioned were functional on 7 April 2008. Content: “When librarians rule the world: the skills and tools we need to thrive in a Web 2.0 world”................................................................................................................................. 1 I. Hidden features of the major search engines........................................................................ 1 A. Google's secrets ............................................................................................................ 1 B. Yahoo's secrets ............................................................................................................. 2 C. Live.com's Secrets ........................................................................................................ 3 II. Specialized and lesser-known search engines................................................................... 4 III. Creating your own search engine..................................................................................... -
Search Engines and Power: a Politics of Online (Mis-) Information
5/2/2020 Search Engines and Power: A Politics of Online (Mis-) Information Webology, Volume 5, Number 2, June, 2008 Table of Titles & Subject Authors Home Contents Index Index Search Engines and Power: A Politics of Online (Mis-) Information Elad Segev Research Institute for Law, Politics and Justice, Keele University, UK Email: e.segev (at) keele.ac.uk Received March 18, 2008; Accepted June 25, 2008 Abstract Media and communications have always been employed by dominant actors and played a crucial role in framing our knowledge and constructing certain orders. This paper examines the politics of search engines, suggesting that they increasingly become "authoritative" and popular information agents used by individuals, groups and governments to attain their position and shape the information order. Following the short evolution of search engines from small companies to global media corporations that commodify online information and control advertising spaces, this study brings attention to some of their important political, social, cultural and economic implications. This is indicated through their expanding operation and control over private and public informational spaces as well as through the structural bias of the information they attempt to organize. In particular, it is indicated that search engines are highly biased toward commercial and popular US- based content, supporting US-centric priorities and agendas. Consequently, it is suggested that together with their important role in "organizing the world's information" search engines -
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. -
Autonomous Collaborative Unmanned Vehicles: Technological Drivers and Constraints
Autonomous Collaborative Unmanned Vehicles: Technological Drivers and Constraints David G. Bowen Scott C. MacKenzie DEFENCE R&D CANADA Contract Report DRDC CR-2003-003 September 2003 This page has been deliberately left blank Page intentionnellement blanche Autonomous Collaborative Unmanned Vehicles: Technological Drivers and Constraints Authors: David G. Bowen, P. Eng. Sparktek Ltd. Scott C. MacKenzie, P. Eng. Consulting and Audit Canada Date: August 28, 2003 CAC Project Number: 510-2984 This contract was funded by the Canadian Forces Experimentation Centre (CFEC). This page has been deliberately left blank Page intentionnellement blanche Table of Contents Executive Summary………………………………………………………………..vi 1 Introduction............................................................................................................... 1 1.1 Objectives and Scope............................................................................................... 2 1.2 Definitions........................................................................................................... 3 2 The Battlespaces and Robots ................................................................................... 5 2.1 Space................................................................................................................... 9 2.2 Air ..................................................................................................................... 10 2.3 Ground ............................................................................................................. -
Search Engine Optimisation Elements Effect on Website Visibility
Cape Peninsula University of Technology Digital Knowledge CPUT Theses & Dissertations Theses & Dissertations 11-1-2006 Search engine optimisation elements effect on website visibility : the Western Cape real estate SMME sector Eugéne Bourbon Visser Cape Peninsula University of Technology Recommended Citation Visser, Eugéne Bourbon, "Search engine optimisation elements effect on website visibility : the Western Cape real estate SMME sector" (2006). CPUT Theses & Dissertations. Paper 80. http://dk.cput.ac.za/td_cput/80 This Text is brought to you for free and open access by the Theses & Dissertations at Digital Knowledge. It has been accepted for inclusion in CPUT Theses & Dissertations by an authorized administrator of Digital Knowledge. For more information, please contact [email protected]. SEARCH ENGINE OPTIMISATION ELEMENTS’ EFFECT ON WEBSITE VISIBILITY: THE WESTERN CAPE REAL ESTATE SMME SECTOR by EUGéNE BOURBON VISSER Thesis submitted in fulfilment of the requirements for the degree Magister Technologiae in Information Technology in the Faculty of Informatics and Design at the CAPE PENINSULA UNIVERSITY OF TECHNOLOGY Supervisor: Prof M. Weideman November 2006 DECLARATION I, the undersigned, hereby declare that the work done towards this qualification has been my own work and that it has not been submitted to any other educational facility for assessment. In addition, all sources that have been used or quoted are indicated and acknowledged by means of complete references. Opinions expressed are my own and not necessarily those of the Cape Peninsula University of Technology. Signature: ____________________ Date: ____________________ EB Visser ii ACKNOWLEDGEMENTS All Glory to my Creator for giving me the perseverance to complete this research project. Special thanks to my mother (Heléne Visser) and my godparents (Hal and Bettye Walker) for believing in me, and for their constant love, support and financial assistance. -
Thessaloniki, Greece Msc in Management
Thessaloniki, Greece MSc in Management MASTER DISSERTATION SILICON VALLEY, SUCCESS AND FAILURE Saule Mukhamejanova ID: 1102100051 Supervisor: Pr. Vangelis Souitaris September 2011 Table of Contents Abstract………………………………………………………………………..................3 Acknowledgements……………………………………………………………………....4 Chapter 1 1.1 Introduction……………………………………………………………………..........5 1.2 Global Entrepreneurship……………………………………………………………...5 1.3 Objectives of the study………………………………………………………………..9 1.4 Scope of analysis…………………………………………………………………...…9 1.5 Plan of analysis………………………………………………………………….…...10 Chapter 2, Literature Review 2.1 Introduction………………………………………………………………………......10 2.2. Start-up companies………………………………………………………………......10 2.3 Funding for start-ups………………………………………………………………....11 2.3.1. Angel investors…………………………………………………………………....11 2.3.2. VC (venture capitalists)……………………………………………………….......13 2.3.3. Other ways of funding………………………………………………………….....16 2.4. Search engine companies……………………………………………………………17 Chapter 3, Methodology 3.1 Introduction………………………………………………………………………......20 3.2 Research Method…………………………………………………………………......20 3.3 Case study, Context of the study: Silicon Valley ………………………………...…...20 FINDINGS 3.3.1. Introduction……………………………………………………………………......22 3.3.2. Within case study analysis………………………………...………………………23 3.3.3. Cross-case analyses……………………………………………………………......26 Chapter 4, Conclusion and recommendations 4.1 Summary……………………………………………………………………………..28 4.2 Limitations of study……………………………………………………………….....30 Chapter 5 5.1 Contribution of the -
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. -
I. Hidden Features of the Major Search Engines
“When librarians rule the world: the skills and tools we need to thrive in a Web 2.0 world” Presentation by Mary Ellen Bates, Bates Information Services , www.BatesInfo.com , held on 29 th February 2008, Zentral- und Landesbibliothek Berlin Compiled by Anke Bruns¹ and Susanne Schaper² ¹MPDL, Munich / GWDG, Göttingen, [email protected] ²MPI for terrestrial Microbiology, Marburg, [email protected] As Mary Ellen Bates’ presentation was only available on paper and not on the web, we have put together much of her information in this report, using her own structure and headings. The URLs mentioned were functional on 7 April 2008. Content: “When librarians rule the world: the skills and tools we need to thrive in a Web 2.0 world”................................................................................................................................. 1 I. Hidden features of the major search engines........................................................................ 1 A. Google's secrets ............................................................................................................ 1 B. Yahoo's secrets ............................................................................................................. 2 C. Live.com's Secrets ........................................................................................................ 3 II. Specialized and lesser-known search engines................................................................... 4 III. Creating your own search engine.....................................................................................