Match-Tensor: a Deep Relevance Model for Search

1 code implementation • 26 Jan 2017 • Aaron Jaech, Hetunandan Kamisetty, Eric Ringger, Charlie Clarke

The architecture of the Match-Tensor model simultaneously accounts for both local relevance matching and global topicality signals allowing for a rich interplay between them when computing the relevance of a document to a query.

Feature Engineering Learning-To-Rank