As Spotify’s recommendation systems grew more complex, experimentation and personalisation started pulling in opposite ...
Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.
We engage with automation and machine learning every day in ways we may not realize. Consider the most common online habits: browsing social media, shopping on Amazon or binge-watching on Netflix.
Recommender systems form an integral component of modern digital platforms, providing personalised suggestions by filtering through vast amounts of data. These systems largely rely on collaborative ...
Algorithmic recommendation systems on social media sites like YouTube, Facebook and Twitter have shouldered much of the blame for the spread of misinformation, propaganda, hate speech, conspiracy ...
Because hedonic products consist predominantly of experience attributes, often with many available alternatives, choosing the "right" one is a demanding task for consumers. Decision making becomes ...