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2. Item-item collaborative filtering - Wikipedia

   en.wikipedia.org/wiki/Item-item_collaborative...

   Item-item collaborative filtering was invented and used by Amazon.com in 1998. It was first published in an academic conference in 2001. Earlier collaborative filtering systems based on rating similarity between users (known as user-user collaborative filtering) had several problems:

3. MapReduce - Wikipedia

   en.wikipedia.org/wiki/MapReduce

   MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel, distributed algorithm on a cluster.. A MapReduce program is composed of a map procedure, which performs filtering and sorting (such as sorting students by first name into queues, one queue for each name), and a reduce method, which performs a summary operation (such as ...

4. Deforestation of the Amazon rainforest - Wikipedia

   en.wikipedia.org/wiki/Deforestation_of_the...

   The National Institute for Space Research (INPE) in Brazil estimated that at least 7,747 km 2 (2,991 sq mi) of the Brazilian Amazon rainforest were cleared during the first half of 2019. [63] INPE subsequently reported that deforestation in the Brazilian Amazon reached a 12-year high between August 2019 and July 2020.

5. Amazon Elastic Compute Cloud - Wikipedia

   en.wikipedia.org/wiki/Amazon_Elastic_Compute_Cloud

   Amazon Elastic Compute Cloud ( EC2) is a part of Amazon.com 's cloud-computing platform, Amazon Web Services (AWS), that allows users to rent virtual computers on which to run their own computer applications. EC2 encourages scalable deployment of applications by providing a web service through which a user can boot an Amazon Machine Image (AMI ...

6. Amazon (company) - Wikipedia

   en.wikipedia.org/wiki/Amazon_(company)

   Amazon was founded on July 5, 1994, by Jeff Bezos in Bellevue, Washington. [6] The company originally started as an online marketplace for books but gradually expanded its offerings to include a wide range of product categories. This diversification led to it being referred to as "The Everything Store". [7]

7. Many-one reduction - Wikipedia

   en.wikipedia.org/wiki/Many-one_reduction

   Many-one reduction. In computability theory and computational complexity theory, a many-one reduction (also called mapping reduction [1]) is a reduction that converts instances of one decision problem (whether an instance is in ) to another decision problem (whether an instance is in ) using a computable function.