Search engines
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This document discusses different types of search engines and how to use them effectively for research. It covers search engines, meta-search engines, and subject directories. For each type, examples are given with the website URL and a brief description. The types include search engines like Google, Sweet Search for students, and Boolify for boolean searches. Meta-search engines discussed are Dogpile, Mamma, and Surfwax that search multiple engines. Subject directories include Yahoo, About, ipl2, Kidsclick, and Eduhound that are created by human editors.
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Core Components of a Search Engine
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Web Crawling:
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Indexing:
After the pages are crawled, the information is organized in an index, much like an index in a book. This involves analyzing the content, extracting keywords, metadata, links, and multimedia content, and storing it in an optimized data structure for fast retrieval. An inverted index is commonly used, where each keyword points to a list of documents (or web pages) in which it appears.
Query Processing:
When a user types a query into the search engine, the engine processes it using various techniques such as tokenization, stop word removal, and synonym expansion to better understand the intent. In modern search engines, natural language processing (NLP) and semantic analysis are used to interpret user queries more intelligently.
Ranking Algorithms:
Once the relevant documents are retrieved from the index, the search engine ranks them according to their relevance and authority. Ranking algorithmslike Google's PageRankevaluate hundreds of signals, such as:
Keyword relevance
Content quality
Page load speed
Mobile-friendliness
Number and quality of backlinks
User engagement metrics (e.g., bounce rate, dwell time)
Location and personalization factors
The final output is a Search Engine Results Page (SERP), which includes links to relevant web pages along with snippets, titles, URLs, and often multimedia content, featured snippets, or advertisements.
Types of Search Engines
Web Search Engines: Google, Bing, Yahoo, DuckDuckGo
Meta Search Engines: Dogpile, StartPage (aggregate results from multiple engines)
Enterprise Search Engines: Used within organizations for internal data retrieval
Vertical Search Engines: Specialize in a particular domain (e.g., Google Scholar for academic content, Indeed for jobs, Amazon for products)
Technologies Involved
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Artificial Intelligence (AI) and Machine Learning (ML) for personalized results
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Hyderabad MuleSoft In-Person Meetup (June 21, 2025) 際際滷sConnecting Data and Intelligence: The Role of FME in Machine Learning
Connecting Data and Intelligence: The Role of FME in Machine LearningSafe Software
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In this presentation, we want to explore powerful data integration and preparation for Machine Learning. FME is known for its ability to manipulate and transform geospatial data, connecting diverse data sources into efficient and automated workflows. By integrating FME with Machine Learning techniques, it is possible to transform raw data into valuable insights faster and more accurately, enabling intelligent analysis and data-driven decision making.Agentic AI for Developers and Data Scientists Build an AI Agent in 10 Lines o...
Agentic AI for Developers and Data Scientists Build an AI Agent in 10 Lines o...All Things Open
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Presented at All Things Open RTP Meetup
Presented by William Hill - Developer Advocate, NVIDIA
Title: Agentic AI for Developers and Data Scientists
Build an AI Agent in 10 Lines of Code and the Concepts Behind the Code
Abstract: In this talk we will demonstrate building a working data science AI agent in 10 lines of basic Python code in a Colab notebook. Our AI Agent will perform LLM prompt-driven visual analysis using open-source libraries. In this session we will show how to develop an AI Agent using GPUs through NVIDIAs developer program and Google Colab notebooks. After coding our AI Agent, we will break down the 10 lines of code. We will show the key components and open source library integrations that enable the agent's functionality, focusing on practical implementation details and then the theoretical concepts. The presentation concludes with a survey of current LLM technologies and the latest trends in developing AI applications for enthusiasts and enterprisesOh, the Possibilities - Balancing Innovation and Risk with Generative AI.pdf
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Oh, the Possibilities - Balancing Innovation and Risk with Generative AISalesforce Summer '25 Release Frenchgathering.pptx.pdf
Salesforce Summer '25 Release Frenchgathering.pptx.pdfyosra Saidani
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Salesforce Summer '25 Release Frenchgathering.pptx.pdfWenn alles versagt - IBM Tape sch端tzt, was z辰hlt! Und besonders mit dem neust...
Wenn alles versagt - IBM Tape sch端tzt, was z辰hlt! Und besonders mit dem neust...Josef Weingand
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IBM LTO10" How to survive with 1 billion vectors and not sell a kidney: our low-cost c...
" How to survive with 1 billion vectors and not sell a kidney: our low-cost c...Fwdays
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Let's talk about our history. How we started the project with a small vector database of less than 2 million records. Later, we received a request for +100 million records, then another +100... And so gradually we reached almost 1 billion. Standard tools were quickly running out of steam - we were running into performance, index size, and very limited resources. After a long series of trials and errors, we built our own low-cost cluster, which today stably processes thousands of queries to more than 1B vectors.GenAI Opportunities and Challenges - Where 370 Enterprises Are Focusing Now.pdf
GenAI Opportunities and Challenges - Where 370 Enterprises Are Focusing Now.pdfPriyanka Aash
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GenAI Opportunities and Challenges - Where 370 Enterprises Are Focusing Now2025_06_18 - OpenMetadata Community Meeting.pdf
2025_06_18 - OpenMetadata Community Meeting.pdfOpenMetadata
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The community meetup was held Wednesday June 18, 2025 @ 9:00 AM PST.
Catch the next OpenMetadata Community Meetup @ https://www.meetup.com/openmetadata-meetup-group/
In this month's OpenMetadata Community Meetup, "Enforcing Quality & SLAs with OpenMetadata Data Contracts," we covered data contracts, why they matter, and how to implement them in OpenMetadata to increase the quality of your data assets!
Agenda Highlights:
Introducing Data Contracts: An agreement between data producers and consumers
Data Contracts key components: Understanding a contract and its purpose
ｨ Writing your first contract: How to create your own contracts in OpenMetadata
An OpenMetadata MCP Server update!
And More!"How to survive Black Friday: preparing e-commerce for a peak season", Yurii ...
"How to survive Black Friday: preparing e-commerce for a peak season", Yurii ...Fwdays
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We will explore how e-commerce projects prepare for the busiest time of the year, which key aspects to focus on, and what to expect. Well share our experience in setting up auto-scaling, load balancing, and discuss the loads that Silpo handles, as well as the solutions that help us navigate this season without failures.The Future of Product Management in AI ERA.pdf
The Future of Product Management in AI ERA.pdfAlyona Owens
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Hi, Im Aly Owens, I have a special pleasure to stand here as over a decade ago I graduated from CityU as an international student with an MBA program. I enjoyed the diversity of the school, ability to work and study, the network that came with being here, and of course the price tag for students here has always been more affordable than most around.
Since then I have worked for major corporations like T-Mobile and Microsoft and many more, and I have founded a startup. I've also been teaching product management to ensure my students save time and money to get to the same level as me faster avoiding popular mistakes. Today as Ive transitioned to teaching and focusing on the startup, I hear everybody being concerned about Ai stealing their jobs Well talk about it shortly.
But before that, I want to take you back to 1997. One of my favorite movies is Fifth Element. It wowed me with futuristic predictions when I was a kid and Im impressed by the number of these predictions that have already come true. Self-driving cars, video calls and smart TV, personalized ads and identity scanning. Sci-fi movies and books gave us many ideas and some are being implemented as we speak. But we often get ahead of ourselves:
Flying cars,Colonized planets, Human-like AI: not yet, Time travel, Mind-machine neural interfaces for everyone: Only in experimental stages (e.g. Neuralink).
Cyberpunk dystopias: Some vibes (neon signs + inequality + surveillance), but not total dystopia (thankfully).
On the bright side, we predict that the working hours should drop as Ai becomes our helper and there shouldnt be a need to work 8 hours/day. Nobody knows for sure but we can require that from legislation. Instead of waiting to see what the government and billionaires come up with, I say we should design our own future.
So, we as humans, when we dont know something - fear takes over. The same thing happened during the industrial revolution. In the Industrial Era, machines didnt steal jobsthey transformed them but people were scared about their jobs. The AI era is making similar changes except it feels like robots will take the center stage instead of a human. First off, even when it comes to the hottest space in the military - drones, Ai does a fraction of work. AI algorithms enable real-time decision-making, obstacle avoidance, and mission optimization making drones far more autonomous and capable than traditional remote-controlled aircraft. Key technologies include computer vision for object detection, GPS-enhanced navigation, and neural networks for learning and adaptation. But guess what? There are only 2 companies right now that utilize Ai in drones to make autonomous decisions - Skydio and DJI.
CapCut Pro Crack For PC Latest Version {Fully Unlocked} 2025
CapCut Pro Crack For PC Latest Version {Fully Unlocked} 2025pcprocore
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＄腫:腫署 告駒諮 & 署 駒諮 腫腫基告 諮介 > https://pcprocore.com/
CapCut Pro Crack is a powerful tool that has taken the digital world by storm, offering users a fully unlocked experience that unleashes their creativity. With its user-friendly interface and advanced features, its no wonder why aspiring videographers are turning to this software for their projects.UserCon Belgium: Honey, VMware increased my bill
UserCon Belgium: Honey, VMware increased my billstijn40
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VMwares pricing changes have forced organizations to rethink their datacenter cost management strategies. While FinOps is commonly associated with cloud environments, the FinOps Foundation has recently expanded its framework to include Scopesand Datacenter is now officially part of the equation. In this session, well map the FinOps Framework to a VMware-based datacenter, focusing on cost visibility, optimization, and automation. Youll learn how to track costs more effectively, rightsize workloads, optimize licensing, and drive efficiencyall without migrating to the cloud. Well also explore how to align IT teams, finance, and leadership around cost-aware decision-making for on-prem environments. If your VMware bill keeps increasing and you need a new approach to cost management, this session is for you!From Manual to Auto Searching- FME in the Driver's Seat
From Manual to Auto Searching- FME in the Driver's SeatSafe Software
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Finding a specific car online can be a time-consuming task, especially when checking multiple dealer websites. A few years ago, I faced this exact problem while searching for a particular vehicle in New Zealand. The local classified platform, Trade Me (similar to eBay), wasnt yielding any results, so I expanded my search to second-hand dealer sitesonly to realise that periodically checking each one was going to be tedious. Thats when I noticed something interesting: many of these websites used the same platform to manage their inventories. Recognising this, I reverse-engineered the platforms structure and built an FME workspace that automated the search process for me. By integrating API calls and setting up periodic checks, I received real-time email alerts when matching cars were listed. In this presentation, Ill walk through how I used FME to save hours of manual searching by creating a custom car-finding automation system. While FME cant buy a car for youyetit can certainly help you find the one youre after!Tech-ASan: Two-stage check for Address Sanitizer - Yixuan Cao.pdf
Tech-ASan: Two-stage check for Address Sanitizer - Yixuan Cao.pdfcaoyixuan2019
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A presentation at Internetware 2025.Coordinated Disclosure for ML - What's Different and What's the Same.pdf
Coordinated Disclosure for ML - What's Different and What's the Same.pdfPriyanka Aash
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Coordinated Disclosure for ML - What's Different and What's the SameAd
Search engines
- 1. Searching and Search Engines edtech4k12 Donna Baratta
- 2. Searching: The Basics Search Engines Use a variety of search engines when researching a topic. Not all search engines are the same! Search engines Meta-search engines Subject directories Remember: Google is not the only search engine!
- 3. How to use this presentation The slides that follow will provide you with examples of each of the three types of search engines covered here. Each slide contains a heading, a link to the site, and an image of the site. Some contain brief descriptions.
- 4. Search Engine: Sweet Search http://www.sweetsearch.com/ Specially designed for students
- 5. Search Engine: 4me.sweetsearch.com Sweetseach for the younger student http://4me.sweetsearch.com/
- 6. Search Engine: Boolify http://www.boolify.org/ Helps users learn boolean search strategies (Boolean search connects keyword with and, not, or to refine search terms. Useful on some search engines, no longer needed on others.
- 7. Search Engine: Search Cube http://search-cube.com/ A visual search engine that displays results in a cube. Helpful for some learners; distracting to others.
- 8. Search Engine: Ask http://www.ask.com Ask questions using sentences or semantic search in addition to keywords
- 9. Search Engine: WolframAlpha http://www.wolframalpha.com/ Specializes in computational knowledge
- 10. Meta-search engines Conduct power searches with these tools that search multiple search engines at the same time.
- 11. Meta-search engine: Dogpile http://dogpile.com/ Searches: Google, Yahoo, Bing, and Ask
- 12. Meta-search engine: Mamma http://www.mamma.com/ Searches: A number of search engines and directories; source displayed under results.
- 13. Meta-search engine: Surfwax http://surfwax.com/ Searches: A number of search engines and directories; source displayed next to results.
- 14. Subject Directories These specialized directories are created by human specialists.
- 15. Subject Directory: Yahoo http://yahoo.com
- 16. Subject Directory: About http://www.about.com/
- 17. Subject Directory: ipl2 http://www.ipl.org/
- 18. Subject Directory: Kidsclick http://www.kidsclick.org/search.html
- 19. Subject Directory: Eduhound http://www.eduhound.com/
- 20. Happy Searching!