@inproceedings{e018f6fc844f495ba6af5c8edfe6ca88,
title = "Fuzzy aggregation for results merging in information retrieval: An application of Choquet Integral",
abstract = "Peer-to-Peer Information Retrieval System (P2PIR) is a system that can query multiple information retrieval systems and merges ranked results list into a single result of documents. Classical methods are generally based on linear combination schemes. A major shortcoming of the classical methods is that there is no defined way to study dependencies and interactions existing among relevance criteria. In this paper, we propose a result merging method based on the Choquet Integral, called Choquet-Based Merging (CBM). The experimental results obtained on the test collection provided by TREC Contextual Suggestion track shows the effectiveness of our proposal.",
keywords = "Choquet integral, Information Retrieval, fuzzy aggregation, results merging",
author = "Saloua Zammali and Khedija Arour and Amel Bouzeghoub",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015 ; Conference date: 02-08-2015 Through 05-08-2015",
year = "2015",
month = nov,
day = "25",
doi = "10.1109/FUZZ-IEEE.2015.7337970",
language = "English",
series = "IEEE International Conference on Fuzzy Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Adnan Yazici and Pal, \{Nikhil R.\} and Hisao Ishibuchi and Bulent Tutmez and Chin-Teng Lin and Sousa, \{Joao M. C.\} and Uzay Kaymak and Trevor Martin",
booktitle = "FUZZ-IEEE 2015 - IEEE International Conference on Fuzzy Systems",
}