Getting recommendations outside of a filter bubble
Whether shopping on Amazon or watching Netflix, most technology platforms use recommendation algorithms to determine the specific content pushed to certain users. From the user’s perspective, these recommendations can sometimes feel perfect; other times, they can simply feel repetitive and digitally isolating. As recommendation systems have become an increasingly popular aspect of technological platforms, researcher […]
