Fuzzy aggregation for results merging in information retrieval: An application of Choquet Integral

TitleFuzzy aggregation for results merging in information retrieval: An application of Choquet Integral
Publication TypeConference Paper
Year of Publication2015
AuthorsZAMMALI, S, Arour, K, BOUZEGHOUB, A
Conference NameIEEE International Conference on Fuzzy Systems
Conference LocationIstanbul, Turkey
KeywordsChoquet integral, fuzzy aggregation, information retrieval, Results merging
Abstract

A 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 consider 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.