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Metasearch engine

Metasearch engine
A metasearch engine is a search tool[1][2] that sends user requests to several other search engines and/or databases and aggregates the results into a single list or displays them according to their source. Metasearch engines enable users to enter search criteria once and access several search engines simultaneously. Metasearch engines operate on the premise that the Web is too large for any one search engine to index it all and that more comprehensive search results can be obtained by combining the results from several search engines. This also may save the user from having to use multiple search engines separately. The process of fusion also improves the search results.[3] The term "metasearch" is frequently used to classify a set of commercial search engines, see the list of Metasearch engine, but is also used to describe the paradigm of searching multiple data sources in real time. Operation[edit] architecture of a metasearch engine See also[edit] References[edit] External links[edit]

http://en.wikipedia.org/wiki/Metasearch_engine

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Meta-Search Engines-The Library "Smarter" meta-searcher technology includes clustering and linguistic analysis that attempts to show you themes within results, and some fancy textual analysis and display that can help you dig deeply into a set of results. However, neither of these technologies is any better than the quality of the search engine databases they obtain results from. Few meta-searchers allow you to delve into the largest, most useful search engine databases. They tend to return results from smaller and/or free search engines and miscellaneous free directories, often small and highly commercial. Although we respect the potential of textual analysis and clustering technologies, we recommend directly searching individual search engines to get the most precise results, and using meta-searchers if you want to explore more broadly. The meta-search tools listed here are "use at your own risk."

Cybercriminals Have Their Eyes Set on Bitcoin It seems like Bitcoin is gaining popularity not only in the computing industry but in the threat landscape as well. We recently reported a couple of attacks involving malware that installs a Bitcoin mining application into systems. Apart from turning systems into unwilling “miners,” such malware also disrupt usage since the mining process takes up a great deal of system resources. Clustering Engine Carrot2 Search Results Clustering Engine Carrot2 organizes your search results into topics. With an instant overview of what's available, you will quickly find what you're looking for. Choose where to search: Type your query: More options

Mobile search Market description[edit] "Competition for the US mobile search market promises to be fierce, thanks to the large US online ad market and strong pushes by portals. By 2011, mobile search will account for around $715 million, or almost 15% of a total mobile advertising market worth nearly $4.7 billion", according to a leading market research firm; eMarketer.[1] Depending on a researcher's particular bias toward telecom, Web or technology factors, the published forecasts for global mobile search vary from $1.5 billion by 2011 (from Informa Telecoms & Media) to over $11 billion by 2008 (according to Piper Jaffray).[2] Mobile search is important for the usability of mobile content for the same reasons as internet search engines became important to the usability of internet content. Early internet content was largely provided by portals such as Netscape. As the depth of available content grew, portals were unable to provide total coverage.

torrentfreak Hollywood-funded anti-piracy group BREIN says it will pursue a similar strategy to its counterparts in the United States and UK by pressuring payment processors like PayPal to stop doing business with file-sharing sites. But BREIN says the processors must go further. Either they can voluntarily hand over the names of the admins behind the site accounts, or they will go to court and sue them into submission. No matter if there are pop-up and pop-under adverts on every page, or a single discreet button where someone can pledge a five dollar donation, thousands of file-sharing related sites need a mechanism by which to convert money into spendable funds. For many the payment processor – PayPal and other similar services – provide their financial lifeline.

100 Incredibly Useful and Interesting Web Sites - PCWorld Even as the Web has become more entertaining--and certainly better looking--over the past 15 years, it has also become much more useful and practical, as the 100 sites in this feature will demonstrate. I've organized the sites in the list by the type of task they help you with. It is not a ranking; in each category I recommend sites that specialize in a different area than the others. I've also mixed in a smattering of sites that you might not use every day, but that provide ready answers to specific questions like "How can I learn to rumba?" or "Who should I vote for?" Database search engine There are several categories of search engine software: Web search or full-text search (example: Lucene), database or structured data search (example: Dieselpoint), and mixed or enterprise search (example: Google Search Appliance). The largest web search engines such as Google and Yahoo! utilize tens or hundreds of thousands of computers to process billions of web pages and return results for thousands of searches per second. High volume of queries and text processing requires the software to run in highly distributed environment with high degree of redundancy. Modern search engines have the following main components: Searching for text-based content in databases or other structured data formats (XML, CSV, etc.) presents some special challenges and opportunities which a number of specialized search engines resolve.

Search engine indexing Popular engines focus on the full-text indexing of online, natural language documents.[1] Media types such as video and audio[2] and graphics[3] are also searchable. Meta search engines reuse the indices of other services and do not store a local index, whereas cache-based search engines permanently store the index along with the corpus. Unlike full-text indices, partial-text services restrict the depth indexed to reduce index size.

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