Problem solving in user networks
Clinton R. Lanier · Communication Design Quarterly · 2015
This paper argues that online communication products should employ item-to-item collaborative filtering algorithms to equip readers with the best potential sets of information that fits their specific contexts. Many online resources are utilizing item-to-item collaborative filtering algorithms which harness the decisions of users to affect their experience. Examples include the recommendation engine used by Amazon.com to help steer customers to products they might enjoy, the "Music Genome Project" used by the internet radio platform, Pandora, and various user interfaces that quickly determine the best user experience to present each individual user.