Products based on personalized recommendations can make content more relevant and compelling, as long as they are designed to minimize effort for users and maximize transparency.
Gina Assaf
Gina Assaf is an interaction designer at Prismatic, an internet and media tech startup company in San Francisco, focused on using machine learning to recommend relevant content to users based on their interests. Gina has a Masters in Human Computer Interaction from Carnegie Mellon University and a Bachelors in Computer Science. She is passionate about understanding users and designing thoughtful products that solve important and real user needs. Twitter: @GinaAssaf