This document provides an overview of search engines, including what they are, how they work, and the evolution of major search engines over time. It discusses how search engines use web crawlers to index web pages and how they developed ranking algorithms to return relevant results. Key points include:
- Search engines allow users to find information on the internet through keyword searches. They index web pages using crawlers and return ranked results based on relevance and popularity.
- Major early search engines included AltaVista, Yahoo, Ask Jeeves, and others. Google revolutionized search in 1998 with its PageRank algorithm that analyzed backlinks.
- Search engine algorithms consider many on-page and off-page
This is basically for those who want to learn Search Engine Optimization (SEO). and also for those marketers , business owners, entrepreneurs who want know about SEO.
Google is a popular search engine that helps users find information on the internet. It crawls websites to index their content, analyzes the indexed information and stores it in vast databases, then retrieves relevant pages for user queries by ranking pages according to their algorithms. Other search engines and tools include Yahoo, Bing, subject directories that organize information by topic, metasearch engines that search multiple engines simultaneously, and specialized engines for specific subjects like health, movies or jobs.
The document summarizes how search engines work and what factors influence search engine rankings. It discusses:
1. Search engines crawl and index billions of webpages and files to build an index that allows them to provide fast answers to user search queries.
2. Hundreds of factors can influence search engine rankings, including the number of links to a page and the content and updates to pages.
3. Through experiments and testing variations in page elements like keywords, formatting, and link structures, search marketers have studied search engine algorithms to learn how to improve rankings.
This document provides an overview of search engines:
1. It defines search engines as programs that search documents for specified keywords and returns a list of documents containing those keywords. Major search engines include Google, Bing, and Yahoo.
2. It lists different types of search engines such as crawler-based engines like Google that use web crawlers to index pages, and directories like Yahoo Directory that are maintained by human editors.
3. It briefly describes how crawler-based search engines like Google work by using web crawlers to read pages, follow links to index content, retrieve relevant pages for search queries, and rank pages based on over 200 factors.
Search engines are programs that search documents for keywords and return results where the keywords are found. Most internet users rely on search engines to find information. Google is the dominant search engine, originally starting in 1999. Other major search engines include Yahoo and Bing. Search engine rankings are determined by on-page factors like keywords, tags, and content, as well as off-page factors like links and social mentions. High-quality, relevant content remains key to successful SEO.
The document discusses issues with how computer science has directed the development of search systems, focusing on efficiency over user experience. It argues search systems have paid minimal attention to the user experience beyond results relevance and ad-matching. The goal of the plenary is to inspire designing search experiences that do more than just sell products well.
The document provides an overview of the history and development of major search engines such as Google, Yahoo, and Bing. It discusses the birth of search engines in the mid-1990s and key events like the launch of Google in 1998 and its dominance through innovations like PageRank. It also outlines the development of Bing from predecessors like MSN Search and Microsoft's various attempts to compete with Google in search.
A web search engine indexes websites to allow users to search for information on the World Wide Web. Search engines use spider programs to crawl websites, index keywords and content, and maintain databases for keyword searches. They emerged to fill the need for computer-based search capabilities as the exponential growth of the Web made human-based directories impossible. The most common goals of search engines are to provide the most relevant, reliable results in a fair manner. They generate revenue primarily through advertising.
The document provides an overview of search engines, including:
1) It discusses the history and development of early search tools like Archie, Gopher, Veronica, and Jughead and the first web search engines like Wandex, Aliweb, and WebCrawler.
2) It describes how current major search engines like Google, Yahoo, and MSN work by using web crawlers to index web pages and then searching those indexes to return relevant results for user queries.
3) It outlines some of the challenges faced by search engines, such as the large size of the web, dynamic content, and attempts to manipulate search rankings.
This document provides an overview of search engines. It defines search engines as web tools that help users locate information on the World Wide Web through automated software programs called spiders that traverse websites and index their content. The document then discusses the history of search engines from early tools like Archie to modern engines like Google. It also covers the importance of search engines, different types like crawler-based and meta search engines, and how to effectively use search operators.
The document provides an introduction to semantic web technologies and semantic search. It discusses how semantic search looks at the meaning and context of words rather than just keywords, leading to more accurate search results. Some examples of semantic search engines are provided, such as Cuil and Calais. The document advises that as search engines increasingly adopt semantic approaches, websites should ready their data for the semantic web to ensure searchability.
This document discusses search engine optimization and the development of search systems. It notes that computer science has directed search system development with a focus on results relevance, while neglecting user experience. The intent is to inspire deeper engagement in designing search experiences that do more than just sell products. It also discusses challenges like the volume of online information, differences in language and perception, and the limitations of current search systems.
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 is one of the most popular search engines available on the web. It indexes websites, images, news sources, and other content with the goal of producing the most relevant search results to user queries. The process begins with crawling and indexing the trillions of documents on the web. Algorithms are then used to find the most relevant answers without returning all of the webpages. Google also works to fight spam through computer algorithms and manual review. While it provides superior search relevancy and features, some criticize it for low quality results and an excessive focus on its algorithms.
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.
Information Discovery and Search Strategies for Evidence-Based ResearchDavid Nzoputa Ofili
油
This event was on May 2, 2017 at Wesley University, Ondo State, Nigeria. I trained the university's staff (academic and non-academic) on "Information Discovery and Search Strategies for Evidence-Based Research" in an information/digital literacy session.
Search engines first emerged in the 1990s as tools to help users find information on the growing internet. They work by using web crawlers to scan websites, index keywords, and build databases of web pages. Popular early search engines included Archie, Veronica, and Yahoo. Google was founded in 1998 and became the most widely used search engine. There are different types of search engines, including crawler-based like Google, directories, hybrids, and meta search engines that search multiple databases. Search engines make the vast amount of online information accessible by filtering and organizing it within seconds.
Search Engine Optimization (SEO) is a step by step process of improving the visibility and quality of a web page or a website for the users on a web search engine.
Search engines are programs that search documents for keywords and return results where the keywords are found. Most internet users rely on search engines to find information. Google is the dominant search engine, originally starting in 1999. Other major search engines include Yahoo and Bing. Search engine rankings are determined by on-page factors like keywords, tags, and content, as well as off-page factors like links and social mentions. High-quality, relevant content remains key to successful SEO.
The document discusses issues with how computer science has directed the development of search systems, focusing on efficiency over user experience. It argues search systems have paid minimal attention to the user experience beyond results relevance and ad-matching. The goal of the plenary is to inspire designing search experiences that do more than just sell products well.
The document provides an overview of the history and development of major search engines such as Google, Yahoo, and Bing. It discusses the birth of search engines in the mid-1990s and key events like the launch of Google in 1998 and its dominance through innovations like PageRank. It also outlines the development of Bing from predecessors like MSN Search and Microsoft's various attempts to compete with Google in search.
A web search engine indexes websites to allow users to search for information on the World Wide Web. Search engines use spider programs to crawl websites, index keywords and content, and maintain databases for keyword searches. They emerged to fill the need for computer-based search capabilities as the exponential growth of the Web made human-based directories impossible. The most common goals of search engines are to provide the most relevant, reliable results in a fair manner. They generate revenue primarily through advertising.
The document provides an overview of search engines, including:
1) It discusses the history and development of early search tools like Archie, Gopher, Veronica, and Jughead and the first web search engines like Wandex, Aliweb, and WebCrawler.
2) It describes how current major search engines like Google, Yahoo, and MSN work by using web crawlers to index web pages and then searching those indexes to return relevant results for user queries.
3) It outlines some of the challenges faced by search engines, such as the large size of the web, dynamic content, and attempts to manipulate search rankings.
This document provides an overview of search engines. It defines search engines as web tools that help users locate information on the World Wide Web through automated software programs called spiders that traverse websites and index their content. The document then discusses the history of search engines from early tools like Archie to modern engines like Google. It also covers the importance of search engines, different types like crawler-based and meta search engines, and how to effectively use search operators.
The document provides an introduction to semantic web technologies and semantic search. It discusses how semantic search looks at the meaning and context of words rather than just keywords, leading to more accurate search results. Some examples of semantic search engines are provided, such as Cuil and Calais. The document advises that as search engines increasingly adopt semantic approaches, websites should ready their data for the semantic web to ensure searchability.
This document discusses search engine optimization and the development of search systems. It notes that computer science has directed search system development with a focus on results relevance, while neglecting user experience. The intent is to inspire deeper engagement in designing search experiences that do more than just sell products. It also discusses challenges like the volume of online information, differences in language and perception, and the limitations of current search systems.
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 is one of the most popular search engines available on the web. It indexes websites, images, news sources, and other content with the goal of producing the most relevant search results to user queries. The process begins with crawling and indexing the trillions of documents on the web. Algorithms are then used to find the most relevant answers without returning all of the webpages. Google also works to fight spam through computer algorithms and manual review. While it provides superior search relevancy and features, some criticize it for low quality results and an excessive focus on its algorithms.
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.
Information Discovery and Search Strategies for Evidence-Based ResearchDavid Nzoputa Ofili
油
This event was on May 2, 2017 at Wesley University, Ondo State, Nigeria. I trained the university's staff (academic and non-academic) on "Information Discovery and Search Strategies for Evidence-Based Research" in an information/digital literacy session.
Search engines first emerged in the 1990s as tools to help users find information on the growing internet. They work by using web crawlers to scan websites, index keywords, and build databases of web pages. Popular early search engines included Archie, Veronica, and Yahoo. Google was founded in 1998 and became the most widely used search engine. There are different types of search engines, including crawler-based like Google, directories, hybrids, and meta search engines that search multiple databases. Search engines make the vast amount of online information accessible by filtering and organizing it within seconds.
Search Engine Optimization (SEO) is a step by step process of improving the visibility and quality of a web page or a website for the users on a web search engine.
Artificial intelligence tools can help researchers in many ways:
- AI tools can help researchers gather, organize, and analyze large amounts of data from various sources to generate insights and identify gaps or opportunities for further research. This can streamline research processes and accelerate innovation.
- Several AI tools are described that can assist with literature reviews, data analysis, writing and editing assistance, collaboration, and more. Tools like Google Scholar, Wordvice AI, and Typeset.io provide features for searching literature, editing documents, and ensuring academic writing standards are followed.
- Other tools like ChatPDF, Consensus, and OpenRead use AI to summarize and extract key information from documents, help find relevant research, and enhance how
Openware tools provide freely available and customizable software alternatives for data analysis. Some popular openware tools include Apache Spark, KNIME, RapidMiner, Hadoop, Pentaho, Grafana, Bipp, Cassandra, and Tableau. These tools offer benefits like low or no cost, transparency, flexibility to customize, strong community support, and ability to access source code. Companies and users choose openware tools for data analysis to gain business insights affordably while protecting data security and privacy.
The document contains multiple choice questions about data structures and algorithms concepts like stacks, queues, linked lists, trees, searching and sorting algorithms. Some key points covered are:
- Stacks follow the LIFO principle and queues follow the FIFO principle
- Abstract data types export a type and set of operations
- Non-linear data structures include trees and graphs
- Binary search has O(log n) time complexity and is used for searching sorted arrays
- Trees can represent hierarchical relationships between elements
This document contains a quiz on object-oriented programming concepts in C++. It includes multiple choice questions that test understanding of key OOP concepts like classes, inheritance, encapsulation, polymorphism, and operator overloading. The questions cover defining and using classes, communicating between objects, reusability through inheritance, and security through encapsulation.
Dynamic memory allocation allows programs to dynamically allocate and free memory at runtime rather than having fixed-size arrays. Malloc allocates memory and leaves it uninitialized while calloc allocates and initializes memory to zero. Realloc can change the size of previously allocated memory. Free must be used to release dynamically allocated memory to avoid memory leaks. In C++, new allocates memory and returns a pointer while delete frees memory allocated by new.
This course is a diploma level
program that provides training in the
preparation and dispensing of homeopathic
medicines. Students learn about the
properties and uses of homeopathic
medicines and remedies.
Eligibility: 10+2 with Physics, Chemistry and Biology
Duration: 5.5 years
Job Opportunity: Ayurvedic Practitioner, Ayurvedic Consultant
Scope: PG Diploma, MD
Fees: Rs. 1-2 Lakhs annually
Eligibility: 10+2 with Physics, Chemistry and Biology
Duration: 5.5 years
Job Opportunity: Homeopathic Practitioner, Homeopathic Consultant
Scope: PG Diploma
Latest teaching tools such as audio visual aids and workshops are being offered at a college campus event in Barabanki, India. Students in class 12th and their friends and family are invited to attend the free event called "UNNATI" to learn about degree and certification programs in various fields. Free transportation is being provided from several pick up points, and the event will provide competitive exam preparation classes, hostel accommodation, English lessons, books, study materials, and other free facilities.
This document discusses various topics related to choosing a career path, including how to select a career, whether to prioritize marks or learning in one's studies, if management studies are expensive, if entrepreneurship is a safe option, why engineering, management, and medical fields are so popular, what alternative career streams exist, how to handle exam results positively, careers involving creative thinking, dealing with math phobia, handling disagreement between parents and children over career choices, sources of financial support for education, and different types of financial aid available from institutions. It also provides contact information for individual career counseling.
This document summarizes a presentation on literacy in Indian government schools and the challenges they face in developing literacy skills. It notes that while literacy is important for well-being and development, many schools struggle to provide students with enough or the appropriate type of literacy. It then provides background context on language diversity in India, the focus of schooling on poorer populations, and issues facing "poor state schools" like low achievement rates, teacher absenteeism, and overreliance on textbooks. The document outlines an ongoing research project investigating early literacy practices and how teachers' understandings of language and literacy impact students' achievements.
How to Manage Allocations in Odoo 18 Time OffCeline George
油
Allocations in Odoo 18 Time Off allow you to assign a specific amount of time off (leave) to an employee. These allocations can be used to track and manage leave entitlements for employees, such as vacation days, sick leave, etc.
Search Engine Optimization (SEO) for Website SuccessMuneeb Rana
油
Unlock the essentials of Search Engine Optimization (SEO) with this concise, visually driven PowerPoint.Inside youll find:
Clear definitions and core concepts of SEO
A breakdown of OnPage, OffPage, and Technical SEO
Actionable bestpractice checklists for keyword research, content optimization, and link building
A quickstart toolkit featuring Google Analytics, Search Console, Ahrefs, SEMrush, and Moz
Realworld case study demonstrating a 70% organictraffic lift
Common challenges, algorithm updates, and tips for longterm success
Whether youre a digitalmarketing student, smallbusiness owner, or PR professional, this deck will help you boost visibility, build credibility, and drive sustainable traffic. Download, share, and start optimizing today!
Smart Borrowing: Everything You Need to Know About Short Term Loans in Indiafincrifcontent
油
Short term loans in India are becoming a go-to financial solution for individuals needing quick access to funds without long-term commitments. With fast approval, minimal documentation, and flexible tenures, these loans are ideal for handling emergencies, unexpected bills, or short-term goals. Understanding key aspects like short term loan features, eligibility, required documentation, and how to apply for a short term loan can help borrowers make informed decisions. Whether you're salaried or self-employed, short term loans offer convenience and speed. This guide walks you through the essentials so you can secure the right loan at the right time.
RE-LIVE THE EUPHORIA!!!!
The Quiz club of PSGCAS brings to you a fun-filled breezy general quiz set from numismatics to sports to pop culture.
Re-live the Euphoria!!!
QM: Eiraiezhil R K,
BA Economics (2022-25),
The Quiz club of PSGCAS
How to Create a Stage or a Pipeline in Odoo 18 CRMCeline George
油
In Odoo, the CRM (Customer Relationship Management) modules pipeline is a visual representation of a company's sales process that helps sales teams track and manage their interactions with potential customers.
Artificial intelligence Presented by JM.jmansha170
油
AI (Artificial Intelligence) :
"AI is the ability of machines to mimic human intelligence, such as learning, decision-making, and problem-solving."
Important Points about AI:
1. Learning AI can learn from data (Machine Learning).
2. Automation It helps automate repetitive tasks.
3. Decision Making AI can analyze and make decisions faster than humans.
4. Natural Language Processing (NLP) AI can understand and generate human language.
5. Vision & Recognition AI can recognize images, faces, and patterns.
6. Used In Healthcare, finance, robotics, education, and more.
Owner By:
Name : Junaid Mansha
Work : Web Developer and Graphics Designer
Contact us : +92 322 2291672
Email : jmansha170@gmail.com
"Hymenoptera: A Diverse and Fascinating Order".pptxArshad Shaikh
油
Hymenoptera is a diverse order of insects that includes bees, wasps, ants, and sawflies. Characterized by their narrow waists and often social behavior, Hymenoptera play crucial roles in ecosystems as pollinators, predators, and decomposers, with many species exhibiting complex social structures and communication systems.
This presentation was provided by Nicole 'Nici" Pfeiffer of the Center for Open Science (COS), during the first session of our 2025 NISO training series "Secrets to Changing Behavior in Scholarly Communications." Session One was held June 5, 2025.
IDSP is a disease surveillance program in India that aims to strengthen/maintain decentralized laboratory-based IT enabled disease surveillance systems for epidemic prone diseases to monitor disease trends, and to detect and respond to outbreaks in the early phases swiftly.....
THERAPEUTIC COMMUNICATION included definition, characteristics, nurse patient...parmarjuli1412
油
The document provides an overview of therapeutic communication, emphasizing its importance in nursing to address patient needs and establish effective relationships. THERAPEUTIC COMMUNICATION included some topics like introduction of COMMUNICATION, definition, types, process of communication, definition therapeutic communication, goal, techniques of therapeutic communication, non-therapeutic communication, few ways to improved therapeutic communication, characteristics of therapeutic communication, barrier of THERAPEUTIC RELATIONSHIP, introduction of interpersonal relationship, types of IPR, elements/ dynamics of IPR, introduction of therapeutic nurse patient relationship, definition, purpose, elements/characteristics , and phases of therapeutic communication, definition of Johari window, uses, what actually model represent and its areas, THERAPEUTIC IMPASSES and its management in 5th semester Bsc. nursing and 2nd GNM students
Available for Weekend June 6th. Uploaded Wed Evening June 4th.
Topics are unlimited and done weekly. Make sure to catch mini updates as well. TY for being here. More upcoming this summer.
A 8th FREE WORKSHOP
Reiki - Yoga
Intuition (Part 1)
For Personal/Professional Inner Tuning in. Also useful for future Reiki Training prerequisites. The Attunement Process. Its all about turning on your healing skills. See More inside.
Your Attendance is valued.
Any Reiki Masters are Welcomed
More About:
The Attunement Process.
Its all about turning on your healing skills. Skills do vary as well. Usually our skills are Universal. They can serve reiki and any relatable Branches of Wellness.
(Remote is popular.)
Now for Intuition. Its silent by design. We can train our intuition to be bold or louder. Intuition is instinct and the Senses. Coded in our Workshops too.
Intuition can include Psychic Science, Metaphysics, & Spiritual Practices to aid anything. It takes confidence and faith, in oneself.
Thank you for attending our workshops.
If you are new, do welcome.
Grad Students: I am planning a Reiki-Yoga Master Course. Im Fusing both together.
This will include the foundation of each practice. Both are challenging independently. The Free Workshops do matter. They can also be downloaded or Re-Read for review.
My Reiki-Yoga Level 1, will be updated Soon/for Summer. The cost will be affordable.
As a Guest Student,
You are now upgraded to Grad Level.
See, LDMMIA Uploads for Student Checkin
Again, Do Welcome or Welcome Back.
I would like to focus on the next level. More advanced topics for practical, daily, regular Reiki Practice. This can be both personal or Professional use.
Our Focus will be using our Intuition. Its good to master our inner voice/wisdom/inner being. Our era is shifting dramatically. As our Astral/Matrix/Lower Realms are crashing; They are out of date vs 5D Life.
We will catch trickster
energies detouring us.
(See Presentation for all sections, THX AGAIN.)
How to Create Quotation Templates Sequence in Odoo 18 SalesCeline George
油
In this slide, well discuss on how to create quotation templates sequence in Odoo 18 Sales. Odoo 18 Sales offers a variety of quotation templates that can be used to create different types of sales documents.
2. Search Engines -
A search engine is a software system designed to
search for information on the World Wide Web. It
uses algorithms to retrieve and organize data from
web pages and other online sources based on a
user's query or search terms.
3. Understanding Search Engines
Example - A student wants to learn Machine Learning, so he searches the
Machine learning tutorial in the search engine. The student gets a list of
links that contain the tutorial links of machine learning.
A search engine is an internet-based software program whose main task is
to collect a large amount of data or information about what is on the internet,
then categorize the data or information and then help user to find the
required information from the categorized information.
4. Search engines serve as the primary gateway to the vast
amount of information available on the internet. They
enable users to find relevant data quickly and efficiently.
Gateway to Information:
They play a crucial role in the digital economy,
influencing e-commerce and online advertising.
Businesses rely on search engine optimization (SEO) to
improve visibility and drive traffic.
Economic Impact:
Importance of Search Engine Marketing in the
Digital World
5. Search engines democratize access to knowledge,
allowing people from all walks of life to learn and
educate themselves on a wide range of topics.
Knowledge Dissemination:
They shape public opinion by determining the
visibility of news, articles, and other content, thus
influencing social discourse and cultural trends..
Social Influence:
6. In 1994 the first recognized crawler search engine was developed.
WebCrawler was the first search engine to provide full text search. In 1994,
Brian Pinkerton, a computer science student at the University of
Washington, create WebCrawler with a database of 4000 sites.
Unlike its predecessors, it let users search for any word in any web page,
which became the standard for all major search engines since. It was also
the first one to be widely known by the public..
World Wide Web 1994
Evolution of Search Engines
7. In June 1995, America Online
(AOL), acquired WebCrawler.
But just over 2 years later in
April 1997 WebCrawler was
sold by AOL to Excite.
WebCrawler still exists today
but it no longer uses its own
database to display results.
2018 was the last time the
engine had a face lift and new
spider logo
8. AltaVista was launched in 1994 and established
itself as the standard among search engines for a
number of years. It was the first with its own index.
Alta Vista continued to be prominent in the search
market for a long time because it used a robot
called Scooter that was particularly powerful.
These days, AltaVista.com redirects to Yahoo!
9. Lycos came onto the market in the summer of
1994. The function and the principle were
ground-breaking, because Lycos not only could
search documents, but also had one algorithm
which measured the frequency of the search
term on the page and also looked at the
proximity of the words to each other.
10. HotBot was launched using a new links
strategy of marketing, claiming to index the
entire web weekly, more often than competitors
like AltaVista to give its user far fresher and
more up to date results. At the time their claims
were that they were the most complete Web
index online with over 54 million documents in
their database.
11. YAHOO! was founded in 1994 by David Filo
and Jerry Yang and was initially a pure web
directory.
Yahoo was also very prominent in the world of
online chat. Before instant messaging
services, the 1990s web was full of chat room,
with Yahoo chat being on of the most popular
options due to their wide choice of subject
matter chat rooms.
12. The name Backrub came from how the search
engine analyzed backlinks pointing to websites to
understand their importance for ranking purposes.
Page and Brin assembled Backrub using leased
servers and parts they bought at discounted prices. It
operated on Stanfords network for over a year,
eventually processing around 10,000 queries a day.
The Google homepage launched in 1998 with a basic, uncluttered
interface showing just a Google! logo, search bar and Search
button.
13. Bing was launched by Microsoft in 2009 as the successor
to live.com (Live Search) in order to finally be able to
compete with Google and has increasingly included social
media content since 2012. In October 2010 Bing started
been working with Facebook . Bings integration with
Facebooks search engine was seen as a potentially
important way that Microsoft could compete with Google.
Alongside Facebooks own semi-programmable search
queries, users could plug in web searches that would return
structured information like the local weather.
14. DuckDuckGo was developed by Gabriel Weinberg and
went live in 2008. This search engine with the unusual
name is a combination of a meta search engine and its own
web crawler. The search results are delivered from over
400 external sources, such as Bing, Yandex, Yahoo Search
BOSS or Wikipedia. In addition, there are the results of our
own web crawler called DuckDuckBot, which regularly
crawls the web itself for information. According to
Wikipedia, on November 13, 2017, there were more than
20 million searches in one day via DuckDuckGo.
15. The Russian search engine Yandex
(亊仆亟亠从) was founded in 1997 and, it
is a company based in Amsterdam
and has its operational headquarters
in Moscow. There are also branches in
Belarus, Switzerland, the USA, Turkey
and Germany.
16. Baidu is the leading search
engine in China. Baidu is the
most popular search engine in
China with a staggering
84.26% of the market share.
Bing hold 6.65% and Google
only see a 1.33% share of the
Chinese market.
17. Ecosia GmbH was founded on
December 7th, 2009 and is
based in Berlin. Ecosia search
results are provided by Bing and
no personally identifiable
information is stored on Ecosia.
They claim they use the search
technology of the search expert
Bing and make it even more
efficient with their own
algorithms.
18. Crawling
The crawler scans the web and creates a list of all available websites. Then they
visit each website and by reading HTML code they try to understand the
structure of the page, the type of the content, the meaning of the content, and
when it was created or updated
Indexing
Information identified by the crawler needs to be organized, Sorted, and Stored
so that it can be processed later by the ranking algorithm. Search engines dont
store all the information in your index, but they keep things like the Title and
description of the page, The type of content, Associated keywords Number of
incoming and outgoing links, and a lot of other parameters that are needed by
the ranking algorithm.
Ranking
Ranking is the position by which your website is listed in any Search Engine.
Search
engines are
generally
work on
three parts.
Working of Search Engine
19. Search engines are generally work on three parts.
Working of Search Engine
20. Different Types of Search Engines
Search
Engines
1.General
Search
Engines
1.Vertical
Search
Engine
Web
Search
Engines
1.Hybrid
Search
Engine
1.Meta
Search
Engine
Video
Search
Engines
Image
Search
Engines
28. Impact of Search Engines
Search engines have become integral to our daily lives, profoundly influencing
how we access and process information. They employ crawling methods to
discover content, using links as signposts to navigate the vast expanse of the
web.
The effectiveness of search engines is critical, as they shape our understanding
of the world by determining the information we encounter. Their architecture can
significantly affect the results they produce, impacting everything from
environmental footprints to societal dynamics.
Search engines are evolving with AI enhancements, promising to revolutionize
user experience through improved storytelling and search result relevance. As
such, they hold a powerful role in shaping society and the dissemination of
knowledge
29. Future Trends in Search Engines
AI-powered assistants like Googles Bard and Bings Copilot will act
as intelligent oracles, interpreting your intent and delivering
comprehensive solutions.
Rise of the AI
Oracle
Search engines are prioritizing content that genuinely helps users
achieve their goals. This means content thats original, insightful,
and well-researched will reign supreme, while low-quality, keyword-
stuffed articles will fade into irrelevance.
Focus on Helpful
Content
Search engines are becoming adept at understanding and ranking these
non-textual elements, making multimedia content a powerful tool for
engaging users and delivering information in a captivating way.
Multimedia
Explosion
Voice Search Takes
Center Stage
As voice recognition technology continues to improve, expect search
engines to prioritize results optimized for conversational language and
natural responses. Businesses need to ensure their websites and
content are voice-friendly to stay ahead of the curve.
30. Future Trends in Search Engines
By analyzing your search history, browsing behavior,
and online interactions, they can tailor results to
your individual interests and needs. This can be a
boon for users seeking relevant information, but also
raises concerns about privacy and data control.
Personalization
Reigns Supreme
Search engines are evolving to connect you not just
with information, but with experiences tailored to your
unique context
Search Beyond
the Web