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13 relations: Bibliometrics, Bradford's law, C. J. van Rijsbergen, Cluster hypothesis, Cranfield experiments, Human–computer information retrieval, Human–computer interaction, Information needs, Information retrieval, Information science, Latent semantic analysis, Similarity measure, Text Retrieval Conference.
Bibliometrics
Bibliometrics is statistical analysis of written publications, such as books or articles.
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Bradford's law
Bradford's law is a pattern first described by Samuel C. Bradford in 1934 that estimates the exponentially diminishing returns of searching for references in science journals.
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C. J. van Rijsbergen
C.
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Cluster hypothesis
In machine learning and information retrieval, the cluster hypothesis is an assumption about the nature of the data handled in those fields, which takes various forms.
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Cranfield experiments
The Cranfield experiments were computer information retrieval experiments conducted by Cyril W. Cleverdon at the College of Aeronautics at Cranfield in the 1960s, to evaluate the efficiency of indexing systems.
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Human–computer information retrieval
Human-computer information retrieval (HCIR) is the study and engineering of information retrieval techniques that bring human intelligence into the search process.
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Human–computer interaction
Human–computer interaction (HCI) researches the design and use of computer technology, focused on the interfaces between people (users) and computers.
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Information needs
The term information need is often understood as an individual or group's desire to locate and obtain information to satisfy a conscious or unconscious need.
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Information retrieval
Information retrieval (IR) is the activity of obtaining information system resources relevant to an information need from a collection of information resources.
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Information science
Information science is a field primarily concerned with the analysis, collection, classification, manipulation, storage, retrieval, movement, dissemination, and protection of information.
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Latent semantic analysis
Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms.
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Similarity measure
In statistics and related fields, a similarity measure or similarity function is a real-valued function that quantifies the similarity between two objects.
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Text Retrieval Conference
The Text REtrieval Conference (TREC) is an ongoing series of workshops focusing on a list of different information retrieval (IR) research areas, or tracks. It is co-sponsored by the National Institute of Standards and Technology (NIST) and the Intelligence Advanced Research Projects Activity (part of the office of the Director of National Intelligence), and began in 1992 as part of the TIPSTER Text program.
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Relevance (Computer Science), Relevance (Information Retrieval), Search relevance.
References
[1] https://en.wikipedia.org/wiki/Relevance_(information_retrieval)
