Training Efficient Tree-Based Models for Document Ranking

Author:

Asadi Nima,Lin Jimmy

Publisher

Springer Berlin Heidelberg

Reference24 articles.

1. Li, H.: Learning to Rank for Information Retrieval and Natural Language Processing. Morgan & Claypool Publishers (2011)

2. Ganjisaffar, Y., Caruana, R., Lopes, C.: Bagging gradient-boosted trees for high precision, low variance ranking models. In: SIGIR 2011 (2011)

3. Burges, C.: From RankNet to LambdaRank to LambdaMART: An overview. Technical Report MSR-TR-2010-82, Microsoft Research (2010)

4. Chapelle, O., Chang, Y., Liu, T.Y.: Future directions in learning to rank. In: JMLR: Workshop and Conference Proceedings 14 (2011)

5. Wang, L., Lin, J., Metzler, D.: A cascade ranking model for efficient ranked retrieval. In: SIGIR 2011 (2011)

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