Query-Dependent Rank Aggregation with Local Models-Reference-Cited by-同舟云学术

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Query-Dependent Rank Aggregation with Local Models

Published:2011 Issue: Volume: Page:1-12
ISSN:0302-9743
Container-title:Information Retrieval Technology
language:
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Author:

Lin Hsuan-Yu,Yu Chi-Hsin,Chen Hsin-Hsi

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-25631-8_1

Reference14 articles.

1. Joachims, T.: Optimizing search engines using clickthrough data. In: Proceedings of the Eighth International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD), pp. 133–142 (2002)

2. Xu, J., Li, H.: AdaRank: a boosting algorithm for information retrieval. In: SIGIR 2007, pp. 391–398 (2007)

3. Cao, Z., Qin, T., Liu, T.-Y., Tsai, M.-F., Li, H.: Learning to rank: from pair-wise approach to list-wise approach. In: ICML 2007, pp. 129–136 (2007)

4. Geng, X., et al.: Query dependent ranking using K-nearest neighbor. In: SIGIR 2008, pp. 115–122 (2008)

5. Lecture Notes in Computer Science;J. Peng,2010

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Analysis of Adaptive Training for Learning to Rank in Information Retrieval;Proceedings of the 28th ACM International Conference on Information and Knowledge Management;2019-11-03

2. Fine-Grained Comparisons with Attributes;Visual Attributes;2017

3. A cross-benchmark comparison of 87 learning to rank methods;Information Processing & Management;2015-11

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