A recommendation engine boils down to a number of pipelines (or filter pattern implementations) that allow for a context to be evaluated by a number of modules applying certain business rules.
Amazon´s leading edge in machine learning technics, computing power and massive wealth of consumer data puts them in a unique position to keep tweaking and optimizing its recommendation algorithms moving forward. Quoting Mr Bezos, they are still in “Day One”
of its AI efforts, reflecting his belief that Amazon’s journey has just begun—and begins each day again and again.
So where will this algorthimical path leads us to?
Amazon’s vision is that recommendation engines will move beyond the current paradigm of searching, clicking and buying and will become like talking to a friend who knows you, your interests, what happens around you and anticipates your needs.
We’re convinced the future of recommendations will further build on intelligent computer algorithms leveraging collective human intelligence. The future will continue to be computers helping people help other people.