Neural related search query generation

One or more non-transitory computer-readable media comprising one or more programs, the one or more programs including instructions for execution by a computing system having one or more processors, the instructions configured for:

• determining a parallel corpus of keyword query pairs based on one or more query logs, each keyword query pair of the parallel corpus of keyword query pairs comprising a source keyword query and a related keyword query;
• training a deep recurrent neural network based on the parallel corpus of keyword query pairs;
• wherein the deep recurrent neural network comprises an encoder deep recurrent neural network and a decoder deep recurrent neural network;
• wherein the instructions configured for the training the deep recurrent neural network based on the parallel corpus of keyword query pairs comprise instructions configured for:
• training the encoder deep recurrent neural network to generate query intent vectors from the source keyword queries of the parallel corpus of keyword query pairs,
• initializing the decoder deep recurrent neural network with the query intent vectors,
• forming input query sequences and target query sequences based on the related keyword queries of the parallel corpus of keyword query pairs, and
• training the decoder deep recurrent neural network to generate the target query sequences from the input query sequences;
• based on the training the deep recurrent neural network based on the parallel corpus of keyword query pairs, inferring one or more particular related queries for a particular source query, the particular source query comprising one or more keywords, each related query of the one or more particular related queries comprising one or more keywords;
• and
• causing the one or more particular related queries to be presented in a user interface at a client computing device.

A computing system comprising:

• one or more processors;
• storage media;
• one or more programs stored in the storage media and configured for execution by the one or more processors, the one or more programs including instructions configured for:
• training a deep recurrent neural network based on a parallel corpus of keyword query pairs, each keyword query pair of the parallel corpus of keyword query pairs comprising a source keyword query and a related keyword query;
• wherein the deep recurrent neural network comprises an encoder deep recurrent neural network and a decoder deep recurrent neural network;
• wherein the instructions configured for the training the deep recurrent neural network based on the parallel corpus of keyword query pairs comprise instructions configured for:
• training the encoder deep recurrent neural network to generate query intent vectors from the source keyword queries of the parallel corpus of keyword query pairs,
• initializing the decoder deep recurrent neural network with the query intent vectors,
• forming input query sequences and target query sequences based on the related keyword queries of the parallel corpus of keyword query pairs, and
• training the decoder deep recurrent neural network to generate the target query sequences from the input query sequences;
• based on the training the deep recurrent neural network based on the parallel corpus of keyword query pairs, inferring one or more particular related queries for a particular source query, the particular source query comprising one or more keywords, each related query of the one or more particular related queries comprising one or more keywords;
• determining one or more search results for the particular source query
• at least partially at a same time as the inferring the one or more particular related queries for the particular source query;
• and
• causing the one or more search results and the one or more particular related queries to be presented in a user interface at a client computing device.