To achieve this, we used t-distributed stochastic neighbor embedding (t-SNE) to reduce 300-dimensional word vectors to three dimensions. The word vectors were derived from the fastText ...

Research from my company Algolia showed that 75% of queries are two or fewer words. 90% of queries are four or fewer words. Then, to get to 99% of queries, you need 13 words! However, they aren ...