Web query
There are three broad categories that cover most web search queries: informational, navigational, and transactional.[13] This example of the Pareto principle (or 80–20 rule) allows search engines to employ optimization techniques such as index or database partitioning, caching and pre-fetching.In addition, studies have been conducted into linguistically-oriented attributes that can recognize if a web query is navigational, informational or transactional.[16] With search engines that support Boolean operators and parentheses, a technique traditionally used by librarians can be applied.A user who is looking for documents that cover several topics or facets may want to describe each of them by a disjunction of characteristic words, such as vehicles OR cars OR automobiles.
web search engineinformation needsquery languagescommand languagesparametersweb graphdomain namesearch suggestionsExciteboolean operatorspower lawPareto principledatabase partitioningcachinghummingbirddisjunctionconjunctionInformation retrievalWeb query classificationTaxonomy for search enginesUser intentCiteSeerXInternet searchMetasearch engineMultimedia searchCollaborative search engineCross-language searchLocal searchVertical searchSocial searchImage searchAudio searchVideo search engineEnterprise searchSemantic searchNatural language search engineVoice searchCross-language information retrievalSearch by soundSearch engine marketingSearch engine optimizationEvaluation measuresSelection-based searchDocument retrievalText miningWeb crawlerMultisearchFederated searchSearch aggregatorWeb indexingFocused crawlerSpider trapRobots exclusion standardDistributed web crawlingWeb archivingWebsite mirroring softwareZ39.50Search/Retrieve Web ServiceSearch/Retrieve via URLOpenSearchRepresentational State TransferWide area information serverSearch engineDesktop searchOnline search