Analyses of multiple evidence combination
Joon Ho Lee
Abstract
Open-access reader
Joon Ho Lee
Abstract
Open-access reader
It hsa been known that different representations of a query ret rieve different sets of documents.Recent work suggests that significant improvements in retrieval performance can be achieved by combining multiple representations of an information need.However, little effort has been made to understand the reason why combining multiple sources of evidence improves retrieval effectiveness.In this paper we analyze why improvements can be achieved with evidence combination, and investigate how evidence should be combined.We describe a rationale for multiple evidence combination, and propose a combining method whose properties coincide wit h the rationale.We also investigate e the effect of using rank instead of similarity on retrieval effectiveness.
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It hsa been known that different representations of a query ret rieve different sets of documents.Recent work suggests that significant improvements in retrieval performance can be achieved by combining multiple representations of an information need.However, little effort has been made to understand the reason why combining multiple sources of evidence improves retrieval effectiveness.In this paper we analyze why improvements can be achieved with evidence combination, and investigate how evidence should be combined.We describe a rationale for multiple evidence combination, and propose a combining method whose properties coincide wit h the rationale.We also investigate e the effect of using rank instead of similarity on retrieval effectiveness.
Key concepts: Citation, Computer science, Center (category theory), Research center, Information retrieval, World Wide Web, Library science, Medicine