Search engines work by using web crawlers to retrieve web pages, analyze their contents, index important information, and provide search results in response to user queries. The first search engine was Archie, created in 1990, while Google rose to prominence around 2000 using its innovative PageRank algorithm. Today's major search engines like Google, Yahoo, and Bing use complex algorithms and techniques like web crawlers, boolean operators, proximity searching and natural language queries to efficiently index the web and return relevant results. They generate revenue through advertising shown alongside search results.
This document provides an overview of search engines, including what they are, their importance, types of search engines, and how to use them effectively. It defines a search engine as a software system that searches the web using keywords and ranks results by relevance. It explains that search engines are important because they help filter the vast amount of online information to quickly find specific information. The document outlines different types of search engines such as crawler-based like Google and Yahoo, directories, hybrid, and meta-search engines. It concludes by giving tips for using search operators like +, -, quotes, and or to refine searches.
This document provides an overview of search engines. It begins with an acknowledgement and then discusses what search engines are, their importance, and different types including crawler-based, directories, hybrid, and meta search engines. Examples are provided of popular search engines like Google and Yahoo. The document concludes with tips on how to effectively use search engines by leveraging operators like plus, minus, quotes, and OR.
A search engine crawls websites to build an index of web pages, then uses algorithms to rank pages for relevant search results. Meta search engines submit queries to multiple other search engines and aggregate the results into a single summary. Registration involves providing basic site details to be included in a search engine's index. Key factors in rankings include meta titles, keywords, and incoming links. Search engines regularly update their algorithms and indexes.
The document discusses search engines. It defines a search engine as software that searches the World Wide Web and presents results in a search engine results page. Examples provided are Google and Bing. Search engines are important because they filter the vast amount of information on the internet to provide relevant results quickly. There are different types of search engines including crawler-based like Google that use bots, directories that are human-curated, hybrids that combine both, and meta search engines that search multiple other engines.
Internet search engines like Google and Yahoo use programs called robots or spiders to search web pages for keywords and provide ranked search results. Google's search technology is based on PageRank, which analyzes links between websites to determine importance, while Yahoo uses its own Search Technology to analyze features of web pages like text and links. Both Google and Yahoo have large databases of web pages that are updated daily and can be accessed by anyone with an internet connection to search for information on a variety of topics.
Search engines use keywords to search the World Wide Web and return results ordered by relevance. They help users find websites without knowing URLs by filtering billions of web pages. The main types are crawler-based engines like Google that use spiders to index pages, directories edited by humans like Yahoo, hybrids combining crawlers and directories like Yahoo and Google, and meta search engines that transmit queries to multiple engines and integrate results.
The document provides an overview of search engines, including their basics, functioning, types, advantages, disadvantages, and limitations. It defines a search engine as a tool that indexes websites and builds databases to help retrieve information from the internet based on keyword queries. The document discusses different types of search engines such as general, meta, subject-specific, intelligent/specialized, deep/invisible web, and scholarly literature search engines. It also compares search engines to directories and portals.
The document discusses search engines, including how they work, their importance, and different types. It explains that search engines use crawlers to scan websites, extract keywords, and build databases. When users search, the engine returns relevant pages. Directories rely on human editors while hybrid engines use both crawlers and directories. Meta search engines transmit keywords to multiple engines and integrate results. Making effective searches involves keeping queries simple and considering how target pages may be described.
The document discusses the inner workings of the Google search engine. It begins with facts about Google's founding and history. It then explains the basic components of how any search engine works, including web crawlers that index pages, and how keywords are matched to search results. The bulk of the document focuses on Google's specific architecture, including its web crawler called Googlebot, its indexer that catalogs words in a database, and its query processor that matches searches to relevant pages based on factors like PageRank. It also discusses related topics like search engine optimization techniques and using "Google digging" to refine searches.
The document discusses search engines and how they work. It introduces key team members and defines search engines as computer programs that search documents and networks for particular keywords and return a list of results. It describes the basic tasks of search engines as searching the internet for keywords, keeping an index of words and locations, and allowing users to search the index. The summary provides an overview of the main topics covered in the document related to how search engines function.
This document provides an overview of key concepts in digital marketing and search engine optimization (SEO). It defines common SEO abbreviations and terms, describes how search engines work and factors that determine search result rankings. The document also explains different SEO techniques including on-page optimization, off-page link building, white hat versus black hat approaches, and how to generate traffic through both organic and paid search engine methods. Key Google tools for SEO are also outlined.
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The document discusses the basic components and process of a search engine. It describes the main components as the web crawler, database, search interfaces, and ranking algorithms. It explains that the web crawler collects web pages and content for the database. When a user searches, the search interface helps them query the database and the ranking algorithm determines what results to display. The document also outlines the indexing and query processes search engines use.
Planning Your Website’s Structure - Starting with rough sketches and wireframes, we'll build site and integrate SEO. Techniques for good web design, color schemes, typography, and to provide a good user experience.
The document defines and discusses search engines. It explains that search engines are web tools that allow users to locate information on the World Wide Web through automated software programs. Examples of major search engines include Google, Yahoo, and MSN Search. The document also outlines the history of search engines, their importance, advantages like enabling quick searches of vast information, and disadvantages such as potential information overload and privacy/security concerns.
A search engine uses automated software programs called spiders that crawl the web to index pages and create a searchable database. When a user searches for keywords, the search engine software returns relevant results from the index. There are three main types of search engines - directories that are compiled by humans, hybrid engines that combine human and automated results, and meta search engines that search multiple other engines at once. Each search engine indexes pages differently and has a unique algorithm to determine search results.
Search engine optimization (SEO) is the process of affecting the visibility of a website in unpaid search engine results. SEO helps search engines understand what a page is about and how useful it may be for users. Without SEO, a website can be invisible to search engines. SEO is important because the majority of search engine users choose results on the first page, so ranking highly increases visitors and customers. SEO involves on-page techniques, like optimizing content, meta tags and URLs, and off-page techniques, like backlinks, social sharing and forum posting, to improve a website's visibility.
Search engines are tools that help users find information on the web. They work by collecting web page information, indexing it, storing it in a database, and allowing users to search the database. Some key types of search engines are robot-driven/crawler based engines like Google that have their own indexes, and meta search engines that utilize indexes from multiple other search engines. The document then discusses specific features of search engines like Google and examples of meta search engines.
The document discusses search engine optimization (SEO) and how it works. It explains that SEO is the process of affecting how visible a website or webpage is in unpaid search engine results. It then outlines the different types of SEO, including on-page SEO which involves optimizing website content, and off-page SEO which refers to link building and other external techniques. The document also discusses important SEO building blocks like keywords, links, and crawlers. Finally, it defines white hat SEO which follows search engine rules, and black hat SEO which uses unethical tactics.
The document outlines the criteria for a blog about secrets of the world designed to reinforce listening and reading comprehension for intermediate students. The blog will have students make descriptions of secrets using the present perfect tense. Resources planned for the blog include videos about mysteries like mermaids and the Bermuda Triangle, as well as presentations on grammar, reading passages about mysteries, listening activities, vocabulary related to secrets, audio stories followed by questions, quizzes on reading and grammar, and a webquest on secrets of the world.
Search engines and directories are tools used to find information on the web. Directories are assembled by people and organized by category, while search engines are automated programs that allow keyword searches of their databases using words, phrases, Boolean operators, or other special characters. Popular search engines include Google, Yahoo, and Bing, while subject directories like DMOZ are organized by topic with reviewed links. Effective searching requires understanding how different search tools work and applying techniques like phrase matching, wildcards and math operators.
Internet protocol security (IPSec) is a protocol suite that authenticates and encrypts IP packets between communicating devices. It operates at the network layer and is transparent to applications. IPSec uses two security protocols: the Authentication Header protocol (AH) which provides data integrity and authentication, and the Encapsulating Security Payload (ESP) protocol which provides confidentiality, integrity, and authentication. IPSec can operate in either transport mode between hosts or tunnel mode between gateways to provide a virtual private network.
- The World Wide Web was invented by English engineer Tim Berners-Lee in 1990 while working at CERN in Switzerland.
- He proposed a system of interlinked hypertext documents that could be accessed via the Internet using a web browser.
- By Christmas 1990, Berners-Lee had created the first web browser, server, and pages, allowing the Web to launch as a publicly available service on the Internet.
3 Things Every Sales Team Needs to Be Thinking About in 2017Drift
Thinking about your sales team's goals for 2017? Drift's VP of Sales shares 3 things you can do to improve conversion rates and drive more revenue.
Read the full story on the Drift blog here: http://blog.drift.com/sales-team-tips
How to Become a Thought Leader in Your NicheLeslie Samuel
Are bloggers thought leaders? Here are some tips on how you can become one. Provide great value, put awesome content out there on a regular basis, and help others.
1) Google provides many advanced search features beyond basic keyword searches, including tools for unit conversions, weather lookups, package tracking, stock prices, and more.
2) Some techniques include using special search operators like filetype, site, and - to exclude results, and using quotes for exact phrase matching.
3) Google's search algorithms aim to provide the most relevant results first based on factors like keywords in the page title, incoming links, and text on the page.
The document provides an overview of search engine optimization (SEO) and how search engines work. It discusses the main components of search engines: spiders that download web pages; crawlers that follow links to find new pages; indexers that analyze page elements; databases to store downloaded pages; and results engines that return relevant pages for user queries. It also covers SEO best practices like optimizing title tags and keywords, maintaining a clear site structure, and avoiding cloaking techniques that provide misleading content to search engines.
This seminar presentation discusses search engines. It defines a search engine as a program that uses keywords to search documents and returns results in order of relevance. The presentation outlines the main components of a search engine: the web crawler, database, and search interface. It also describes how search engines work by crawling links, indexing words, and ranking pages using algorithms like PageRank. Finally, it discusses different types of search engines and how artificial intelligence is used to improve search engine quality.
A search engine is a software system that searches the World Wide Web for information and presents search results on search engine results pages (SERPs). Search engines work by using web crawlers to index web pages, then searching their indexes to provide relevant results for user queries. They offer operators like Boolean logic to refine searches. The usefulness of search engines depends on how relevant their results are, and they employ various ranking algorithms to provide the most relevant pages first. Metasearch engines simultaneously query multiple other search engines and aggregate their results.
The document discusses search engines and web crawlers. It provides information on how search engines work by using web crawlers to index web pages and then return relevant results when users search. It also compares major search engines like Google, Yahoo, MSN, Ask Jeeves, and Live Search based on factors like market share, database size and freshness, ranking algorithms, and treatment of spam. Google is highlighted as having the largest market share and best algorithms for determining natural vs artificial links.
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
SEO (search engine optimization) involves optimizing websites and webpages to appear high in search engine results. It includes ensuring websites are indexed by search engine bots and that all content pages are visible. SEO brings together marketing and strategy - while original, optimized content is important, performance means little without good marketing and a solid strategy. Key factors search engines consider include page rank, backlinks, meta tags, and keyword optimization.
The document discusses search engines and their components. It provides a brief history of search engines including Archie, Google, and Yahoo. It then describes the key components of search engines such as web crawlers that retrieve web pages, an indexer that builds indexes of words on pages, and a search function that returns results based on user queries by matching them to indexes. The document also discusses Google's crawling architecture and how it indexes pages. Finally, it notes that most search engines are commercial and make money through advertising.
pranav,sahil and shriman presents search engineCool Bhatt
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A search engine is software that searches the web for information and returns relevant results to users. It has three main components: crawling to discover webpages, indexing to save webpage data in a database, and serving results based on user queries. Search engine optimization (SEO) involves optimizing websites to rank well in search engine results. Key aspects of SEO include on-page elements like titles, meta descriptions, and keyword optimization as well as off-page factors like backlinks, social media, and press releases. Proper SEO helps search engines understand websites and provides users with relevant information.
A search engine has three main parts: 1) A spider that crawls websites to read pages and follow links to other pages, 2) An index that is created from compiled website pages, and 3) A program that receives search requests, compares them to the index entries, and returns results. Search engines gather information by having spiders crawl websites, analyze information by compiling pages into an index, and display information by showing search results. On-page SEO refers to optimization done directly on web pages, while off-page SEO involves getting links from other websites.
This document discusses search engines and provides information on their definition, history, importance, types and how to use them. It describes how search engines work by using automated software programs called spiders or crawlers to travel the web and index pages to create a searchable database. The first search tools were Archie in 1990 and Veronica and Jughead in 1991. Search engines are important because they allow users to easily find needed information from the vast web. The main types are crawler-based like Google and Yahoo, directory-based which rely on human editors, hybrid which use both, and meta search engines that search multiple databases at once. Examples are provided of search engine features and how to perform advanced searches using operators.
Google's search engine works by crawling and indexing the web. It uses web crawlers to discover publicly available web pages by following links from page to page. The crawled pages are indexed, organized, and stored in Google's massive database. When a user searches, Google's algorithms analyze over 200 signals and factors to rank and filter results based on relevance. Key factors in ranking include PageRank, which analyzes the number and quality of links between pages. Google also works to identify and filter spam sites that try to manipulate search rankings.
The document discusses how search engines like Google work. It explains that search engines use web crawlers or spiders to index websites by following links and reading content. The spiders send this indexed information back to be stored in a central database. When a user searches, the search engine compares the query to this index to find relevant results. Google in particular runs on thousands of computers to allow parallel processing for fast searching of its large index. It uses Googlebot to crawl and fetch pages which are then indexed and stored for query processing. PageRank and other factors are used to determine the most relevant results.
The document provides an overview of how search engines like Google work. It explains that search engines use web crawlers or spiders to index websites by following links and reading content and metadata. The spiders return this information to be indexed. When a user searches, the search engine checks its index rather than searching the entire web. Google in particular runs on thousands of computers to allow parallel processing. It uses Googlebot to fetch pages from the web and an indexer to store words and links from pages in a database. It then uses a query processor to match searches to relevant indexed pages based on factors like page popularity, position of search terms, and how pages link to each other.
I have tried my best to give you all the basic valuable information about one of the Trending Topic of all time i.e, Search Engine Optimization.
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Happy Learning.
This document provides guidance on effectively searching for information on the web. It discusses formulating focused research questions and search strategies. Specific search tools covered include search engines, directories, metasearch engines, and other resources. Advanced search techniques like Boolean operators, wildcards, and filtering are explained. The document also offers tips for evaluating the quality and validity of web resources found in searches.
This document describes an intelligent meta search engine that was developed to efficiently retrieve relevant web documents. The meta search engine submits user queries to multiple traditional search engines including Google, Yahoo, Bing and Ask. It then uses a crawler and modified page ranking algorithm to analyze and rank the results from the different search engines. The top results are then generated and displayed to the user, aimed to be more relevant than results from individual search engines. The meta search engine was implemented using technologies like PHP, MySQL and utilizes components like a graphical user interface, query formulator, metacrawler and redundant URL eliminator.
The word “Gymnosperm” comes from the Greek words “gymnos”(naked) and “sperma”(seed), hence known as “Naked seeds.” Gymnosperms are the seed-producing plants, but unlike angiosperms, they produce seeds without fruits. These plants develop on the surface of scales or leaves, or at the end of stalks forming a cone-like structure.
Codeavour 5.0 International Impact Report - The Biggest International AI, Cod...Codeavour International
Unlocking potential across borders! 🌍✨ Discover the transformative journey of Codeavour 5.0 International, where young innovators from over 60 countries converged to pioneer solutions in AI, Coding, Robotics, and AR-VR. Through hands-on learning and mentorship, 57 teams emerged victorious, showcasing projects aligned with UN SDGs. 🚀
Codeavour 5.0 International empowered students from 800 schools worldwide to tackle pressing global challenges, from bustling cities to remote villages. With participation exceeding 5,000 students, this year's competition fostered creativity and critical thinking among the next generation of changemakers. Projects ranged from AI-driven healthcare innovations to sustainable agriculture solutions, each addressing local and global issues with technological prowess.
The journey began with a collective vision to harness technology for social good, as students collaborated across continents, guided by mentors and educators dedicated to nurturing their potential. Witnessing the impact firsthand, teams hailing from diverse backgrounds united to code for a better future, demonstrating the power of innovation in driving positive change.
As Codeavour continues to expand its global footprint, it not only celebrates technological innovation but also cultivates a spirit of collaboration and compassion. These young minds are not just coding; they are reshaping our world with creativity and resilience, laying the groundwork for a sustainable and inclusive future. Together, they inspire us to believe in the limitless possibilities of innovation and the profound impact of young voices united by a common goal.
Read the full impact report to learn more about the Codeavour 5.0 International.
Open Source and AI - ByWater Closing Keynote Presentation.pdfJessica Zairo
ByWater Solutions, a leader in open-source library software, will discuss the future of open-source AI Models and Retrieval-Augmented Generation (RAGs). Discover how these cutting-edge technologies can transform information access and management in special libraries. Dive into the open-source world, where transparency and collaboration drive innovation, and learn how these can enhance the precision and efficiency of information retrieval.
This session will highlight practical applications and showcase how open-source solutions can empower your library's growth.
Demonstration module in Odoo 17 - Odoo 17 SlidesCeline George
In Odoo, a module represents a unit of functionality that can be added to the Odoo system to extend its features or customize its behavior. Each module typically consists of various components, such as models, views, controllers, security rules, data files, and more. Lets dive into the structure of a module in Odoo 17
APM event held on 9 July in Bristol.
Speaker: Roy Millard
The SWWE Regional Network were very pleased to welcome back to Bristol Roy Millard, of APM’s Assurance Interest Group on 9 July 2024, to talk about project reviews and hopefully answer all your questions.
Roy outlined his extensive career and his experience in setting up the APM’s Assurance Specific Interest Group, as they were known then.
Using Mentimeter, he asked a number of questions of the audience about their experience of project reviews and what they wanted to know.
Roy discussed what a project review was and examined a number of definitions, including APM’s Bok: “Project reviews take place throughout the project life cycle to check the likely or actual achievement of the objectives specified in the project management plan”
Why do we do project reviews? Different stakeholders will have different views about this, but usually it is about providing confidence that the project will deliver the expected outputs and benefits, that it is under control.
There are many types of project reviews, including peer reviews, internal audit, National Audit Office, IPA, etc.
Roy discussed the principles behind the Three Lines of Defence Model:, First line looks at management controls, policies, procedures, Second line at compliance, such as Gate reviews, QA, to check that controls are being followed, and third Line is independent external reviews for the organisations Board, such as Internal Audit or NAO audit.
Factors which affect project reviews include the scope, level of independence, customer of the review, team composition and time.
Project Audits are a special type of project review. They are generally more independent, formal with clear processes and audit trails, with a greater emphasis on compliance. Project reviews are generally more flexible and informal, but should be evidence based and have some level of independence.
Roy looked at 2 examples of where reviews went wrong, London Underground Sub-Surface Upgrade signalling contract, and London’s Garden Bridge. The former had poor 3 lines of defence, no internal audit and weak procurement skills, the latter was a Boris Johnson vanity project with no proper governance due to Johnson’s pressure and interference.
Roy discussed the principles of assurance reviews from APM’s Guide to Integrated Assurance (Free to Members), which include: independence, accountability, risk based, and impact, etc
Human factors are important in project reviews. The skills and knowledge of the review team, building trust with the project team to avoid defensiveness, body language, and team dynamics, which can only be assessed face to face, active listening, flexibility and objectively.
Click here for further content: https://www.apm.org.uk/news/a-beginner-s-guide-to-project-reviews-everything-you-wanted-to-know-but-were-too-afraid-to-ask/
How to Make a Field Storable in Odoo 17 - Odoo SlidesCeline George
Let’s discuss about how to make a field in Odoo model as a storable. For that, a module for College management has been created in which there is a model to store the the Student details.
Lecture Notes Unit4 Chapter13 users , roles and privilegesMurugan146644
Description:
Welcome to the comprehensive guide on Relational Database Management System (RDBMS) concepts, tailored for final year B.Sc. Computer Science students affiliated with Alagappa University. This document covers fundamental principles and advanced topics in RDBMS, offering a structured approach to understanding databases in the context of modern computing. PDF content is prepared from the text book Learn Oracle 8I by JOSE A RAMALHO.
Key Topics Covered:
Main Topic : USERS, Roles and Privileges
In Oracle databases, users are individuals or applications that interact with the database. Each user is assigned specific roles, which are collections of privileges that define their access levels and capabilities. Privileges are permissions granted to users or roles, allowing actions like creating tables, executing procedures, or querying data. Properly managing users, roles, and privileges is essential for maintaining security and ensuring that users have appropriate access to database resources, thus supporting effective data management and integrity within the Oracle environment.
Sub-Topic :
Definition of User, User Creation Commands, Grant Command, Deleting a user, Privileges, System privileges and object privileges, Grant Object Privileges, Viewing a users, Revoke Object Privileges, Creation of Role, Granting privileges and roles to role, View the roles of a user , Deleting a role
Target Audience:
Final year B.Sc. Computer Science students at Alagappa University seeking a solid foundation in RDBMS principles for academic and practical applications.
URL for previous slides
chapter 8,9 and 10 : https://www.slideshare.net/slideshow/lecture_notes_unit4_chapter_8_9_10_rdbms-for-the-students-affiliated-by-alagappa-university/270123800
Chapter 11 Sequence: https://www.slideshare.net/slideshow/sequnces-lecture_notes_unit4_chapter11_sequence/270134792
Chapter 12 View : https://www.slideshare.net/slideshow/rdbms-lecture-notes-unit4-chapter12-view/270199683
About the Author:
Dr. S. Murugan is Associate Professor at Alagappa Government Arts College, Karaikudi. With 23 years of teaching experience in the field of Computer Science, Dr. S. Murugan has a passion for simplifying complex concepts in database management.
Disclaimer:
This document is intended for educational purposes only. The content presented here reflects the author’s understanding in the field of RDBMS as of 2024.
7. Advanced search techniques of google Pie chart of different search engines eg. Search engine market share in the US.
8. A web search engine is designed to search for information on the World wide web and FTP servers.The search results are generally presented in a list ofresults and are often called hits. The information may consist of web pages, images,information and other types of files. Some search engines also have mine data available in databases or open directories. Unlike web directories, which are maintained by human editors, search engines operate algorithmically or are amixture of algorithmic and human input.
9. Today there are many search engines.e.g. Google, Yahoo, Aol, Safari, msn etc. Today Google at the top in search engine. The reason is its creativity only.
10. History The very first tool used for searching on the Internet was Archie. The name stands for "archive" without the "v". It was created in 1990 by Alan Ematage , Bill Heelan and J. Peter Deutsch, computer science students at McGrill University in Montreal. The program downloaded the directory listings of all the files located on public anonymous FTP (File Transfer protocol) sites, creating a searchable database of file names; however, Archie did not index the contents of these sites since the amount of data was so limited it could be readily searched manually.
11. Around 2000, Google’s search engine rose to prominence. The company achieved better results formany searches with an innovation called Page Rank. This iterative algorithm ranks web pages based on the number and Page Rank of other web sites and pages that link there, on the premise that good or desirable pages are linked to more than others. By 2000, Yahoo! was providing search services based onInktomi's search engine. Yahoo! acquired Inktomi in 2002, and Overture(which owned Alltheweb andAltaVista) in 2003. Yahoo! switched to Google's search engine until 2004, when it launched its own search engine based on the combined technologies of its acquisitions.
12. How web search engine worksHigh-level architecture of a standard Web crawler
13. A search engine operates, in the following order 1. Web Crawling 2. Indexing 3. Searching Web search engines work by storing information about many web pages, which they retrieve from the html itself.
14. These pages are retrieved by a Web Crawler — an automated Web browser which follows every link on the site. The contents of each page are then analyzed to determine how it should be indexed (for example, words are extracted from the titles, headings, or special fields called meta tags ). Data about web pages are stored in an index database for use in later queries. A query can be a single word. The purpose of an index is to allow information to be found as quickly as possible.
15. When a user enters a query into a search engine the engine examines its index and provides a listing of best-matching web pages according to its criteria, usually with a short summary containing the document's title and sometimes parts of the text.
16. The index is built from the information stored with the data and the method by which the information is indexed. Unfortunately, there are currently no known public search engines that allow documents to be searched by date. Most search engines support the use of the boolean operators AND, OR and NOT to further specify the search query.
18. Some search engines provide an advanced feature called proximity search which allows users to define the distance between keywords.
19. Natural language queries allow the user to type a question in the same form one would ask it to a human. A site like this would be ask.com.The usefulness of a search engine depends on the relevance of the result set it gives back.
20. While there may be millions of web pages that include a particular word or phrase, some pages may be more relevant, popular, or authoritative than others.
21. Most search engines employ methods to rank the results to provide the "best" results first.
22. How a search engine decides which pages are the best matches, and what order the results should be shown in, varies widely from one engine to another. The methods also change over time as Internet usage changes and new techniques evolve.Most of Search engines provide these facilities free then how they make money.
23. Most Web search engines are commercial ventures supported by advertising revenue and , as a result , some employ the practice of allowing advertisers to pay money to have their listings ranked higher in search results.
24. Some search engines which do not accept money for their search engine results make money by running search related ads alongside the regular search engine results.
25. The search engines make money every time someone clicks on one of these ads.Web crawler A Web crawleris a computer program that browses the World Wide Web in a methodical, automated manner or in an orderly fashion. Other terms for Web crawlers are ants, automatic indexers, bots, Web spiders,Web robots, Web scutters. This process is called Web crawling or spidering. Many sites, in particular search engines, use spidering as a means of providing up-to-date data. Web crawlers are mainly used to create a copy of all the visited pages for later processing by a search engine that will index the downloaded pages to provide fast searches.
26. Crawlers can also be used for automating maintenance tasks on a Web site, such as checking links or validatingHTML code. Also, crawlers can be used to gather specific types of information from Web pages, such as harvesting e-mail addresses (usually for sending spam).Spiders take a Web page's content and create key search words that enable online users to find pages they're looking for.
29. They continuously keep on crawling the web and find new web page that have been added to the web ,pages that have been removed from the web.
30. When you query a search engine to find information, it is actually searching through the database which it has created and not actually searching the Web. Therefore result is provided within sort span of time by search engine.
31. They will begin with a popular site,indexing the words on its page and following every link found within site.
32. Multiple web crawlers can be used at a time.Google began as an academic search engine.
33. It built its initial system to use multiple spiders,usually 3 at a time.
35. At its peak performance,its system can crawl over 100 pages per second , generating around 600 kilobytes of data each second.
36. Google had its own DNS that translates a server’s name (URL) into an address in order to keep delays to a minimum.When the google spider looked at an HTML pageit looks words within page occuring in the title,subtitles,meta tags etc.
37. It was built to index every significant word on a page,leaving out the articles a,an, and the.
39. Some spider will keep track of the words in the title,sub-headings and links,along with 100 most frequently used words on the page and each word in the first 20 lines of text.
40. Lycos uses this approach to spider the web.Altavista index every single word on a page,includinga,an,the and other significant words.
41. Yahoo! is pretty good at crawling sites deeply so long as they have sufficient link popularity to get all their pages indexed. One note of caution is that Yahoo! may not want to deeply index sites with many variables in the URL string, especially since Yahoo! already has a boatload of their own content they would like to promote (including verticals like Yahoo! Shopping)Yahoo! offers paid inclusion for deeply index database contents.Some advance techniques for searching
42. Google provides some special commands that we can use to get more specific results back from searches.
43. The most well-known of these special commands is the "key phrase" with which we place a key phrase in double quotes, for example ["Indian restaurant"] which will then only show results for that exact phrase, as opposed to typing the same query without the double quotes and getting a result-set that matches both words but not necessarily in the exact same position they were typed.But lesser-known command is the +inclusion command which forces the indicated word to be included in the search, for example if we want to search for the 60s English rock band ‘The Animals’, we could type [+The Animals] to force the word ‘The’ to be used as well as ‘Animals’.
44. Another of the basic commands is the OR operator. If we write [+hotels OR resorts] and we'll notice that the results produce just that : web pages for either key phrase: hotels or resorts.
45. Another is wild card operator (*), for example : [the * animals] will show results for the farm animals, the little animals, and so on.Thank You