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Multimodal search

Multimodal search is a type of search that uses different methods to get relevant results. They can use any kind of search, search by keyword, search by concept, search by example,etc. Multimodal search is a type of search that uses different methods to get relevant results. They can use any kind of search, search by keyword, search by concept, search by example,etc. A multimodal search engine is designed to imitate the flexibility and agility of how the human mind works to create, process and refuse irrelevant ideas. So, the more elements you have in the input of the search engine to can compare, the more accurate the results can be.Multimodal search engines use different inputs of different nature and methods of search at the same time with the possibility of combining the results by merging all of the input elements of the search. There are also engines that can use a feedback of the results with the evaluation of the user to perform a more appropriate and relevant search. Nowadays, mobile devices have been developed to a point that they can perform infinite functions from any place at any time, thanks to the internet and GPS connections. Touch screens, motion sensors and voice recognition are now featured on mobile devices called smartphones. All the features and functions make possible to can execute multimodal searches from any place of the world at any time. The use of text is an option, as well as multimedia searching, images, videos, audio, voice, documents. Even the location of the user can help the search engine to perform a more effective search, adaptable to every situation.Nowadays, different ways to interact with a search engine are being discovered, in terms of input elements of the search and in the variety of results obtained. Many queries from mobiles are location-based (LBS), that use the location of the user to interact with the applications. If available, the browser uses the device GPS, or computes an approximate location based on cell tower triangulation, with the permission of the user, who must be agree to share his/her location with the application in the download.Therefore, multimodal searches use not only audiovisual content that the user provides directly, but also the context where the user is, like his/her location, language, time at the moment, web site or document where the user is surfing, or other elements that can help to improve of a search in every situation.

[ "Information retrieval", "Machine learning", "World Wide Web", "Artificial intelligence" ]
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