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Recommender systems have also been developed to explore research articles and experts, [7] collaborators, [8] and financial services. [9] A content discovery platform is an implemented software recommendation platform which uses recommender system tools. It utilizes user metadata in order to discover and recommend appropriate content, whilst ...
Artificial intelligence supported design of aircraft, [ 363 ] or AIDA, is used to help designers in the process of creating conceptual designs of aircraft. This program allows the designers to focus more on the design itself and less on the design process. The software also allows the user to focus less on the software tools.
Similar recommendation websites that compete with Wirecutter include Best Products (Hearst Communications, 2015), The Strategist (New York, 2016), BuzzFeed Reviews (BuzzFeed, 2018), and The Inventory (G/O Media, 2018). [31] Wirecutter defines the Wirecutter effect as a phenomenon "in which recommendations become so popular that they sell out". [32]
Warren Buffett, CEO of Berkshire Hathaway, oversees a portfolio of 45 publicly traded stocks and securities worth $315 billion, in addition to a $277 billion cash pile and numerous private, wholly ...
Nvidia and AMD do not make computer chips, they simply design them using software. They are made by Taiwan Semiconductor Manufacturing (TSMC), which operates what is known as a foundry business model.
Qlucore Omics Explorer – interactive and visual data analysis software. RapidMiner – machine learning toolbox. Regression Analysis of Time Series (RATS) – comprehensive econometric analysis package. Rguroo Statistical Software - An online statistical software designed for teaching and analyzing data.
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Collaborative filtering (CF) is a technique used by recommender systems. [1] Collaborative filtering has two senses, a narrow one and a more general one. [2]In the newer, narrower sense, collaborative filtering is a method of making automatic predictions (filtering) about the interests of a user by collecting preferences or taste information from many users (collaborating).
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