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News Link • Science, Medicine and Technology

How Particle Physics Is Improving Recommendation Engines


Most online shoppers will be familiar with phrases of the type “You liked X, so you might like Y” that are generated by the current crop of recommendation engines. These play an increasingly important role for online retailers since they can increase sales by significant amounts.

And yet the actual recommendations can seem somewhat haphazard so there is no shortage of groups studying ways to improve them.

Today, Stanislao Gualdi at the University of Fribourg in Switzerland and a couple of pals say they’ve found a surprising new twist in this black art that increases the accuracy of these systems.

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