Product recommenders suggest items in which users might be interested based on their behavior, shopping history or product properties.
Production projects that we have build for customers.
Experimental applications that we build to prove feasibility or to test user acceptance.
Collection of innovative ideas and best practices which inspire us.
A curated collection of tools and frameworks relevant for Product recommendation systems. More under http://datasciencestack.liip.ch