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Information Storage and Retrieval Systems
1969Does the field of information storage and retrieval as presently constituted qualify as a science? If not, can it ever become a science? These two questions continue to be topics of discussion for professionals associated with the field. While it is not difficult to reach an affirmative answer to the initial question, the process of arriving at such an
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Implication in information retrieval systems.
2010Some IR models make use of an implication to match a document d and a query q, computing either "q implies d" (e.g. in fuzzy inclusion models) or, the other way, "d implies q" (e.g. in logical IR models). This paper analyzes, from a theoretical point of view, the IR models using both approaches.
Ughetto, U +4 more
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Massive picture retrieval system based on big data image mining
Future Generation Computer Systems, 2021Chaochuan Jia
exaly
The use of an interactive information storage and retrieval system in medical research
Communications of the ACM, 1978Lucashenry C
exaly
Learning to Adaptively Rank Document Retrieval System Configurations
ACM Transactions on Information Systems, 2019Josiane Mothe +2 more
exaly

