Big Data Intern Recommender System @ VIPS(NYSE) Zhimin Feng
- Introduction
Vipshop (Chinese: 唯品会) is a Chinese company that operates the e-commerce website VIP.com (formerly Vipshop.com) specializing in online discount sales. Vipshop is based out of Guangzhou, Guangdong, China, and was listed on New York Stock Exchange (NYSE) on March 23rd, 2012. As of 2017, Vipshop had 52.1 million customers, and there were 269.8 million orders for the year 2016. Following Tmall and JD.com, it is now the third largest e-commerce site in China. More about VIPS: https://en.wikipedia.org/wiki/Vipshop
- Algorithm: Item-item collaborative filtering
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. It was first published in an academic conference in 2001. The authors of that paper, Badrul Sarwar, George Karypis, Joseph Konstan, and John Riedl, won the 2016 Test of Time Award for their paper Item-based collaborative filtering recommendation algorithms. The International World Wide Web Conference committee stated that "this outstanding paper has had a considerable real-world impact".
- Application
Discover Repuation Product is applied on VIPS APP https://discovery.vip.com/praise/index.html?rule=1&template=1&wapid=discovery_reputation_list_xinkeshouye