The Notion of Relevance in Information Science: Everybody knows what relevance is. But, what is it really?

By Tefko Saracevic. 2016

82 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Hamed Zamani
2. W. Bruce Croft
3. Mark D. Smucker
4. Jimmy J. Lin
5. William R. Hersh
6. C. Clarke
7. Alexandra Vtyurina
8. Jamie Callan

In Sociology and Political Science

1. W. Bruce Croft
2. William R. Hersh
3. Hamed Zamani

Citations in the corpus

• Relevance-based Word Embedding (2017, background): “Œe primary objective in many IR methods is to model the notion of relevance [20, 34, 43].”
• Information Retrieval: A Biomedical and Health Perspective (2020, methodology): “• TREC Genomics Track [118]—retrieval of journal abstracts and articles focused on questions about genomics and related areas • Medical Records Track [119]—searching de-identified electronic health record (EHR) documents to identify patients who might be eligible for a clinical study or trial • Clin”
• Assessing Top- Preferences (2020, background): “Preference judgments alsomake it easy to incorporate factors beyond those captured by commonly used ordinal relevance scales [14, 36].”