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The company's digital marketplace has exploded from a modest 35 million items in 2017 to an eye-popping 700 million today. ... Where to shop today's best deals: Kate Spade, Amazon, Walmart and ...
Another item to note is that quantum computing recently became a hot-button topic, which caused IonQ's stock price to rise around 450% since the start of October. ... Where to shop today's best ...
Project Pan wants to inspire more mindful luxury consumption. The concept is simple: "Pan" refers to hitting the bottom of a makeup container, revealing the metal pan beneath.
Where to shop today's best deals: Kate Spade, Amazon, Walmart and more. AOL. The best under-$50 clothing items to buy at Amazon right now. See all deals. In Other News. Entertainment.
A cofounder of Fat Llama, a rental web site, observed that people who buy expensive items like DSLR cameras and drones opt for more expensive, higher-end models so that they can rent them out to recoup their costs. [6] Also in 2017, a commentator for European Digital Rights (EDRi) described Auken's article as "chilling" and "dystopian".
Prices involve a lot of psychology. That's why retailers roll out 3-for-1 discounts, promote offers to buy one get one free, and round prices down to end in 99 cents.
Job-shop scheduling, the job-shop problem (JSP) or job-shop scheduling problem (JSSP) is an optimization problem in computer science and operations research. It is a variant of optimal job scheduling .
Item-item collaborative filtering, or item-based, or item-to-item, is a form of collaborative filtering for recommender systems based on the similarity between items calculated using people's ratings of those items. Item-item collaborative filtering was invented and used by Amazon.com in 1998.