MIT and IBM develop AI that recommends documents based on topic
December 20, 2019
Even the best text-parsing recommendation algorithms can be stymied by data sets of a certain size. In an effort to to deliver faster, better classification performance than the bulk of existing methods, a team at the MIT-IBM Watson AI Lab and MIT’s Geometric Data Processing Group devised a technique that combines popular AI tools including embeddings and optimal transport. They say that their…