Exploiting hierarchical dependence structures for unsupervised rank fusion in information retrieval-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Exploiting hierarchical dependence structures for unsupervised rank fusion in information retrieval

Published:2022-10-18 Issue: Volume: Page:
ISSN:0925-9902
Container-title:Journal of Intelligent Information Systems
language:en
Short-container-title:J Intell Inf Syst

Author:

Hermosillo-Valadez Jorge,Morales-González Eliseo,Fernández-Reyes Francis C.,Montes-y-Gómez Manuel,Fuentes-Pacheco Jorge,Rendón-Mancha Juan M.

Funder

Consejo Nacional de Ciencia y Tecnología

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10844-022-00751-3.pdf

Reference30 articles.

1. Arampatzis, A., & Robertson, S. (2011). Modeling score distributions in information retrieval. Information Retrieval, 14(1), 26–46. https://doi.org/10.1007/s10791-010-9145-5

2. Bailey, P., Moffat, A., Scholer, F., & Thomas, P. (2017). Retrieval consistency in the presence of query variations. In Proceedings of the 40th International ACM SIGIR conference on research and development in information retrieval. SIGIR ’17 (pp. 395–404). Association for Computing Machinery. https://doi.org/10.1145/3077136.3080839

3. Canalle, G. K., Salgado, A. C., & Loscio, B. F. (2021). A survey on data fusion: what for? in what form? what is next? Journal of Intelligent Information Systems, 57(1), 25–50. https://doi.org/10.1007/s10844-020-00627-4

4. Cormack, G. V., Clarke, C. L. A., & Buettcher, S. (2009). Reciprocal rank fusion outperforms condorcet and individual rank learning methods. In Proceedings of the 32nd International ACM SIGIR conference on research and development in information retrieval. SIGIR ’09 (pp. 758–759). Association for Computing Machinery. https://doi.org/10.1145/1571941.1572114

5. Cummins, R. (2011). In M. V. M Salem, K Shaalan, F. Oroumchian, A. Shakery, & H. Khelalfa (Eds.), Measuring the ability of score distributions to model relevance. Springer. https://doi.org/10.1007/978-3-642-25631-8_3

Cited by 1 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. Data Fusion Performance Prophecy: A Random Forest Revelation;Information Integration and Web Intelligence;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3