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Technique protects privacy when making online recommendations

MIT researchers have developed a novel privacy-preserving protocol that could enable an algorithm that provides recommendations to guarantee a user’s personal information remains secure while ensuring recommendation results are accurate. Their technique is so efficient it can run on a smartphone over a very slow network. ....

Sacha Servan Schreiber , Srinivas Devadas , Edwin Sibley Webster , Simon Langowski , Bayan Bruss , Artificial Intelligence Laboratory , Capital One , Computer Science , Edwin Sibley Webster Professor , Earest Neighbors Search ,