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Information Retrieval: The Early Years

Foundations and Trends in Information Retrieval, 2019
Information retrieval, the science behind search engines, had its birth in the late 1950s. Its forbearers came from library science, mathematics and linguistics, with later input from computer science.
D. Harman
semanticscholar   +1 more source

An Information Retrieval Ontology for Information Retrieval Nanopublications

2014
Retrieval experiments produce plenty of data, like various experiment settings and experimental results, that are usually not all included in the published articles. Even if they are mentioned, they are not easily machine-readable. We propose the use of IR nanopublications to describe in a formal language such information.
Linda Andersson   +3 more
openaire   +1 more source

On fuzziness in information retrieval

International Journal of Man-Machine Studies, 1976
The IR systems are faced with a need to manage fuzziness and not merely to react to fuzziness. The indexing process is viewed as representing the set X of information items by fuzzy subsets ℱ(Y) of the descriptor set Y. A fuzzy assignment is modelled as a system (X,Y,f:X→ℱ(Y)) where f(x)(y) is the link between the information item x and the descriptor ...
Constantin Virgil Negoita, P. Flondor
openaire   +3 more sources

Information retrieval by metabrowsing

Journal of the American Society for Information Science and Technology, 2004
AbstractThis article investigates a new, effective browsing approach called metabrowsing. It is an alternative for current information retrieval systems, which still face six prominent difficulties. We identify and classify the difficulties and show that the metabrowsing approach alleviates the difficulties associated with query formulation and missing
H.J. van den Herik   +2 more
openaire   +3 more sources

The Power of Noise: Redefining Retrieval for RAG Systems

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Retrieval-Augmented Generation (RAG) has recently emerged as a method to extend beyond the pre-trained knowledge of Large Language Models by augmenting the original prompt with relevant passages or documents retrieved by an Information Retrieval (IR ...
Florin Cuconasu   +7 more
semanticscholar   +1 more source

Information calculus for information retrieval

Journal of the American Society for Information Science, 1996
Information is and always has been an elusive concept; nevertheless many philosophers, mathematicians, logicians and computer scientists have felt that it is fundamental. Many attempts have been made to come up with some sensible and intuitively acceptable definition of information; up to now, none of these have succeeded.
C. J. van Rijsbergen, Mounia Lalmas
openaire   +2 more sources

Information Retrieval I

1991
“Information retrieval” is a very loose term, so we must start by setting some limits to our subject. We are not concerned, for instance, with systems which respond to requests for specific facts, e.g. “What time is the next train to London?” Enquiry systems like that undeniably supply useful information, but they do not necessarily store and ...
openaire   +3 more sources

Distributed Information Retrieval [PDF]

open access: possible, 1998
Until now, we focused strictly on the use of a single machine to provide an information retrieval service. In Chapter 7, we discussed the use of a single machine with multiple processors to improve performance. Although efficient performance is critical for user acceptance of the system, today, document collections are often scattered across many ...
Ophir Frieder, David A. Grossman
openaire   +1 more source

Music Information Retrieval

2005
Music information retrieval (MIR) is a multi-disciplinary research on retrieving information from music, see Fig. 1. This research involves scientists from traditional, music and digital libraries, information science, computer science, law, business, engineering, musicology, cognitive psychology and education (Downie, 2001).
openaire   +1 more source

Private information retrieval

Communications of the ACM, 2010
Cryptographic protocols safeguard the privacy of user queries to public databases.
openaire   +2 more sources

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