Deep Neural Network for Learning to Rank Query-Text Pairs

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Song, Baoyang;
  • Subject: Computer Science - Information Retrieval

This paper considers the problem of document ranking in information retrieval systems by Learning to Rank. We propose ConvRankNet combining a Siamese Convolutional Neural Network encoder and the RankNet ranking model which could be trained in an end-to-end fashion. We p... View more
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