Science News
Streaming services, like Spotify/ Netflix have recommendation algorithms identify content a user engaged with most and suggest more of same. Content/ genres with low engagement get dropped. But engagement-driven curation can trap consumers in 'overfamiliarity'…
▶️ Streaming services' focus on short-term engagement risks staleness by over-recommending familiar content, potentially hindering the development of new tastes and artistic movements.
📈 Research by Prof. Samsun Knight at the University of Toronto suggests algorithms may mistakenly attribute user preferences to fixed tastes rather than content they were previously served.
💡 Prof. Knight proposes more aggressive exploration of less-familiar content and human-driven recommendations to foster discovery and prevent creative stagnation.
#Streaming #Tech #Business
📈 Research by Prof. Samsun Knight at the University of Toronto suggests algorithms may mistakenly attribute user preferences to fixed tastes rather than content they were previously served.
💡 Prof. Knight proposes more aggressive exploration of less-familiar content and human-driven recommendations to foster discovery and prevent creative stagnation.
#Streaming #Tech #Business