most citedAn Exploration of Approaches to Integrating Neural Reranking Models in Multi-Stage Ranking Architectures

7 citations · 7 across the 1 of their papers we have counts for

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1 paper

cs.IR2017★ 7 cited

An Exploration of Approaches to Integrating Neural Reranking Models in Multi-Stage Ranking Architectures

Zhucheng Tu, Matt Crane, Royal Sequiera +2

We explore different approaches to integrating a simple convolutional neural network (CNN) with the Lucene search engine in a multi-stage ranking architecture. Our models are train…