Open AccessFusion of Retrieval Models at CLEF 2008 Ad Hoc Persian Track
Author(s) -
Zahra Aghazade,
Nazanin Dehghani,
Leili Farzinvash,
Razieh Rahimi,
Abolfazl AleAhmad,
Hadi Amiri,
Farhad Oroumchian
Publication year - 2009
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-642-04446-8
DOI - 10.1007/978-3-642-04447-2_11
Subject(s) - computer science , information retrieval , metasearch engine , clef , merge (version control) , weighting , search engine , schema (genetic algorithms) , data mining , web search query , medicine , management , radiology , economics , task (project management)
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.
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