Retrieval of novel keywords for search

Abstract

A computing system obtains a novel keyword from a keyword database comprising a plurality of keywords. The computing system provides the novel keyword as input into an encoder and obtains a textual embedding of the novel keyword. The computing system identifies classifiers for similar seen keywords to the novel keyword. The novel keyword embedding and the classifiers are provided as input into a combiner model which outputs a textual embedding representative of the novel keyword and the seen keyword classifiers. The computing system compares the output of the combiner model to a textual embedding of query text. The computing system then identifies content based upon a computed similarity between the query text and the output of the combiner model. The computing system causes presentation of search results at a client computing device wherein the results include content selected based upon the computed similarity.