{"title":"On the Evaluation of Data Fusion for Information Retrieval","authors":"David Lillis","doi":"10.1145/3441501.3441506","DOIUrl":null,"url":null,"abstract":"Data Fusion combines document rankings from multiple systems into one, in order to improve retrieval effectiveness. Many approaches to this task have been proposed in the literature, and these have been evaluated in various ways. This paper examines a number of such evaluations, to extract commonalities between approaches. Some drawbacks of the prevailing evaluation strategies are then identified, and suggestions made for more appropriate evaluation of data fusion.","PeriodicalId":415985,"journal":{"name":"Proceedings of the 12th Annual Meeting of the Forum for Information Retrieval Evaluation","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 12th Annual Meeting of the Forum for Information Retrieval Evaluation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3441501.3441506","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Data Fusion combines document rankings from multiple systems into one, in order to improve retrieval effectiveness. Many approaches to this task have been proposed in the literature, and these have been evaluated in various ways. This paper examines a number of such evaluations, to extract commonalities between approaches. Some drawbacks of the prevailing evaluation strategies are then identified, and suggestions made for more appropriate evaluation of data fusion.
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