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2. Alibaba Group - Wikipedia

   en.wikipedia.org/wiki/Alibaba_Group

   Alibaba Group Holding Limited, branded as Alibaba, is a Chinese multinational technology company specializing in e-commerce, retail, Internet, and technology.Founded on 28 June 1999 [1] in Hangzhou, Zhejiang, the company provides consumer-to-consumer (C2C), business-to-consumer (B2C), and business-to-business (B2B) sales services via Chinese and global marketplaces, as well as local consumer ...

3. AliExpress - Wikipedia

   en.wikipedia.org/wiki/AliExpress

   AliExpress ( Chinese: 全球速卖通) is an online retail service based in China and owned by the Alibaba Group. [ 1] Launched in 2010, [ 2][ 3] it is made up of small businesses in China and other locations, such as Singapore, that offer products to international online buyers. It is the most visited e-commerce website in Russia [ 4] and was ...

4. List of country calling codes - Wikipedia

   en.wikipedia.org/wiki/List_of_country_calling_codes

   376 – Andorra (formerly 33 628) 377 – Monaco (formerly 33 93) 378 – San Marino (interchangeably with 39 0549; earlier was allocated 295 but never used) 379 – Vatican City (assigned but uses 39 06698). 38 – formerly assigned to Yugoslavia until its break-up in 1991. 380 – Ukraine. 381 – Serbia.

5. AOL Mail

   mail.aol.com

   You can find instant answers on our AOL Mail help page. Should you need additional assistance we have experts available around the clock at 800-730-2563.

6. Brushing (e-commerce) - Wikipedia

   en.wikipedia.org/wiki/Brushing_(e-commerce)

   Because a shipment usually has to take place for an order to be considered valid by the e-commerce site, the seller will frequently ship an empty box or some cheap item. [2] These fake orders, if unnoticed, can boost the seller's rating, which can make it more likely that their items will appear at the top of search results on e-commerce sites.

7. Coupon collector's problem - Wikipedia

   en.wikipedia.org/wiki/Coupon_collector's_problem

   In probability theory, the coupon collector's problem refers to mathematical analysis of "collect all coupons and win" contests. It asks the following question: if each box of a given product (e.g., breakfast cereals) contains a coupon, and there are n different types of coupons, what is the probability that more than t boxes need to be bought ...