Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.

These days, when it comes to capturing and holding an audience’s attention you must deliver the most relevant content possible. Whether searching for jobs or something more important, like looking at ...

The new recommendation tool was released earlier this month as part of the Steam Labs initiative. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works.

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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 ...

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 ...