Match-Tensor: A Deep Learning Relevance Model for Search
Deep Learning Relevance: Creating Relevant Information (as Opposed to Retrieving it)
Learning Semantic Representations Using Convolutional Neural Networks for Web Search
Learning Deep Structured Semantic Models for Web Search using Clickthrough Data
Learning to Match Using Local and Distributed Representations of Text for Web Search
Situational Context for Ranking in Personal Search
A Deep Relevance Matching Model for Ad-hoc Retrieval
Applying Deep Learning to AirBNB Search
