Fusion of retrieval models at CLEF 2008 ad hoc Persian track

Authors:
Zahra Aghazade;Nazanin Dehghani;Leili Farzinvash;Razieh Rahimi;Abolfazl AleAhmad;Hadi Amiri;Farhad Oroumchian
Affiliations:
University of Tehran, School of Electrical and Computer Engineering, Tehran, Iran;University of Tehran, School of Electrical and Computer Engineering, Tehran, Iran;University of Tehran, School of Electrical and Computer Engineering, Tehran, Iran;University of Tehran, School of Electrical and Computer Engineering, Tehran, Iran;University of Tehran, School of Electrical and Computer Engineering, Tehran, Iran;University of Tehran, School of Electrical and Computer Engineering, Tehran, Iran;University of Wollongong in Dubai, Dubai, UAE
Venue:
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Year:
2008

Citing 4
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CLEF 2008: ad hoc track overview

CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access

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Abstract

Metasearch engines submit the user query to several underlying search engines and then merge their retrieved results to generate a single list that is more effective to the users information needs. According to the idea behind metasearch engines, it seems that merging the results retrieved from different retrieval models will improve the search coverage and precision. In this study, we have investigated the effect of fusion of different retrieval techniques on the performance of Persian retrieval. We use an extension of Ordered Weighted Average (OWA) operator called IOWA and a weighting schema, NOWA for merging the results. Our experimental results show that merging by OWA operators produces better MAP.