Unit 2 search-enginesand types of search engine
- 2. Search engines are powerful tools that help users find information on the internet. They use algorithms to crawl and index web pages, providing relevant results to user queries. This presentation will explore the different types of search engines and their unique features. INTRODUCTION TO SEARCH ENGINES
- 3. Crawler-based search engines, such as Google and Bing, use automated software programs called spiders to crawl the web and index web pages. These engines prioritize fresh and relevant content and use complex algorithms to rank search results. CRAWLER-BASED SEARCH ENGINES
- 4. Human-powered directories, like Yahoo Directory, rely on human editors to organize and categorize web content. Users can navigate through a hierarchical structure to find information, making these directories valuable for specific topics and niche industries. HUMAN-POWERED DIRECTORIES
- 5. Meta search engines, such as Dogpile and Ixquick, aggregate results from multiple search engines and present them to users. By combining data from various sources, these engines aim to provide a comprehensive view of search results, offering diverse perspectives. META SEARCH ENGINES
- 6. Vertical search engines focus on specific industries or content types, such as images, videos, or news. These engines provide specialized results tailored to the user's search intent, offering a more targeted experience for specific information needs. VERTICAL SEARCH ENGINES
- 7. Real-time search engines, like Twitter Search and Google Realtime, prioritize up-to-the- minute information from social media, news sites, and other sources. Users can access the latest updates and trending topics in real time, making these engines valuable for current events and trends. REAL-TIME SEARCH ENGINES
- 8. Mobile search engines, such as Google Mobile and Yahoo Mobile, are optimized for smartphone and tablet users. These engines prioritize mobile-friendly content and may offer location-based results, catering to the on- the-go needs of mobile users. MOBILE SEARCH ENGINES
- 9. Voice search engines, like Siri and Alexa, enable users to perform searches using voice commands. These engines use natural language processing to understand spoken queries and provide spoken responses, offering a hands-free search experience. VOICE SEARCH ENGINES
- 10. Visual search engines, such as Google Lens and Pinterest Lens, allow users to search using images rather than text. These engines use image recognition technology to analyze and identify objects, offering a visual search experience for users. VISUAL SEARCH ENGINES
- 11. Personalized search engines, like Google Personalized Search, tailor search results based on a user's search history and preferences. These engines aim to provide relevant and customized results, reflecting the user's individual interests and behavior. PERSONALIZED SEARCH ENGINES
- 12. As search engines continue to evolve, they face challenges related to privacy, fake news, and algorithm bias. The future may see advancements in AI- powered search, semantic search, and personalized AI assistants that revolutionize the search experience. CHALLENGES AND FUTURE TRENDS