![]() ![]() Since different search engines can index a different set of web pages, and some search engines are better than others for search queries in specific areas, it is important to determine the appropriate search engines for each user query. To achieve an effective result of merging, there were many solutions proposed. As a result, it has received great attention in the meta-research and distributed information search (DIR) communities. Merging results is one of the most fundamental components of metasearch. It’s more convenient and cost-efficient to pay once and consume maximum content per month. According to a focus group survey, users do not always want to go to different locations for information. The earliest metasearch mechanisms dealt with the issues of retrieving search results and merging their results this led to creating aggregators. Most content aggregators are based on a small number of popular general-purpose search engines, but there are also metastudies related to more specialized search engines (for example, healthcare search engines), and some of them are associated with more than a thousand search engines. This does not completely replace the metasearch but makes its results much more specific.Ī content aggregator is a software component for extracting data from multiple sources and publishing it in one place. In recent years, many content aggregator mechanisms have been developed and launched. the results that are highly ranked by several search engines are more likely to be ranked higher in the metasearch results. The result-merging component may naturally include a voting mechanism, i.e. The metasearch mechanism allows users to receive information from several sources with one query, and the metasearch mechanism would hide from the user that there are various request formats from different search engines. Metasearch effectively combines the coverage of all suitable search engines. they identify the search engines most suitable for the request and send the request only to them. More complex metasearch mechanisms also perform search engine selection (called database selection), i.e. The main problems are transferring user queries to other search engines, determining the correct search results from the results page returned by search engines, and merging the results from various search sources. ![]() When search engines return the results and they are accepted by the metasearch mechanism, they are combined into a one-category list that is presented to the user. ![]() ![]() To perform basic metasearch, a metasearch engine sends a request to multiple search engines. Some examples of metasearch engines are lxquick, Metager, Metacrawler, Yabado, Dogpile, and Zoo. It eliminates the need to use each search engine separately to collect the desired results. It provides users with many answers in one place. What Does a Meta Search Engine Do? What Is an Example of a Metasearch Engine?Ī metasearch engine is not technically a search engine, but a web portal that combines web search results for a keyword or phrase from various search engines using its own algorithm. Metasearch was especially popular in the early 2000s when engines like Ixquick or Dogpile appeared as alternatives to Google and Yahoo!. Consolidation of the search engine market at the beginning of the millennium has led several genuine search engines, such as Excite or WebCrawler, to be converted to metasearch engines. MetaGer metasearch engine is still working. A year later, MetaGer launched a project for a regional computing center for Lower Saxony, Germany. The first MetaCrawler search engine was developed by two American researchers from the University of Washington in 1995. However, this was not the case at the beginning of the online search. If we are not talking about booking a vacation or buying new appliances, the term metasearch most likely won’t come up in a conversation in 2020. ![]()
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