Effective rank aggregation for metasearching-Reference-Cited by-同舟云学术

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Effective rank aggregation for metasearching

Published:2011-01 Issue:1 Volume:84 Page:130-143
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

Akritidis Leonidas,Katsaros Dimitrios,Bozanis Panayiotis

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference28 articles.

1. Aggregation of partial rankings, p-ratings and top-m lists;Ailon,2007

2. Aggregating inconsistent information: ranking and clustering;Ailon,2005

3. Allen, J., 2009. Comparison of metasearch engines. Tech. rep., Southern Methodist University, CSE8337. Available at http://jdadesign.net/wp-content/uploads/2010/01/HW2b.pdf

4. Metasearch consistency;Aslam,2001

5. Models of metasearch;Aslam,2001

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1. Learning to Rank in Session-Based Recommender Systems;Session-Based Recommender Systems Using Deep Learning;2023-12-21

2. An Experimental Study of Unsupervised Rank Aggregation Methods in World University Rankings;2023 International Conference on Intelligent Education and Intelligent Research (IEIR);2023-11-05

3. FLAGR: A flexible high-performance library for rank aggregation;SoftwareX;2023-02

4. An unsupervised distance-based model for weighted rank aggregation with list pruning;Expert Systems with Applications;2022-09

5. Consistency of Ranking Aggregation Techniques;International Series in Operations Research & Management Science;2022

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