Multi-modal Search
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Multi-modal Search
Multimodal search is a type of search engines, search that uses different methods to get relevant results. They can use any kind of search, keyword search, search by keyword, concept search, search by concept, Query by Example, search by example, etc. Introduction A multimodal search engine is designed to imitate the flexibility and agility of how the mind, human mind works to create, process and refuse irrelevant ideas. So, the more elements you have in the input of the search engine to compare, the more Arithmetic precision, 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 in ...
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Search Engines
Search engines, including web search engines, selection-based search engines, metasearch engines, desktop search tools, and web portals and vertical market websites have a search facility for online databases. By content/topic General † Main website is a portal Geographically localized Accountancy * IFACnet Business * Business.com * Daily Stocks * GenieKnows (United States and Canada) * GlobalSpec * Nexis (Lexis Nexis) * Thomasnet (United States) Computers * Shodan (website) Content * Openverse, search engine for open content. Dark web * Ahmia Education General: * Chegg Academic materials only: * BASE (search engine) * Google Scholar * Internet Archive Scholar * Library of Congress * Semantic Scholar Enterprise * Apache Solr * Jumper 2.0: Universal search powered by Enterprise bookmarking * Oracle Corporation: Secure Enterprise Search 10g * Q-Sensei: Q-Sensei Enterprise * Swiftype: Swiftype Search * TeraText: TeraText ...
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