Monster (Skillet song) Monster (Skillet song) "Monster" is the second single from the 2009 album "Awake" by the American Christian rock band Skillet, and is the second track on the album. The single went on to become the band's breakthrough single, charting at No. 4 on the U.S. "Billboard" Mainstream Rock Tracks chart and No. 1 on the "Billboard" Bubbling Under Hot 100 chart. A radio edit version can be found on the deluxe version, which does not include the growling part of the song. It is also the fifth single by Skillet to be released to physical media. The single peaked No.
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".