Rise (Skillet album) Skillet have floundered a bit in recent years, but with "Rise", they have found fresh footing, producing an album that is likely to stand as a hallmark for their career." At About.com, Kim Jones rated the album a perfect five stars, and wrote that "Skillet really did rise above the norm and their previous projects with "Rise"", and that "each and every song is a masterpiece in its own right." Johan Wippsson of Melodic.net felt this was a "very stable release that [he's] pretty sure that most fans will receive in a positive way!" At Louder Than the Music, Jono
Item-item collaborative filtering 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".