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* '''[[Vertical search]]''', compared to general search, focuses on specific domains and addresses the particular information needs of niche audiences and professions. Once the search engine can predict the category of information a Web user is looking for, it can select a certain vertical search engine automatically, without forcing the user to access the vertical search engine explicitly.
* '''[[Online advertising]]'''<ref>[http://www.kdd2007.com/workshops.html#adkdd Data Mining and Audience Intelligence for Advertising (ADKDD'07)], KDD workshop 2007</ref><ref>[http://research.yahoo.com/workshops/troa-2008/ Targeting and Ranking for Online Advertising (TROA'08)], WWW workshop 2008</ref> aims at providing interesting advertisements to Web users during their search activities. The search engine can provide relevant advertising to Web users according to their interests, so that the Web users can save time and effort in research while the advertisers can reduce their advertising costs.
* ''' Search inside topic''' is the search inside articles collected for a given topic. Usually these are web articles dedicated to a certain subject and collected as [[web]] [[links]] either manually or using [[web crawling]]. Search queries may be more general than just regular keywords and may represent meaningful phrases or sentences or even short description of some object of interest. Solution of this task is close to one used in the [[supervised document classification]] by considering a set of articles as a set of training documents <ref>[http://www.classengine.com/ Document and Web Content Classification and Search Inside Topic]</ref>.
All these services rely on the understanding Web users' search intents through their Web queries.
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