Relevance: A review of the literature and a framework for thinking on the notion in information science. Part II: nature and manifestations of relevance
By Tefko Saracevic. J. Assoc. Inf. Sci. Technol., 2007
377 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/b0188a7f2a94c88f8640378de32d1a9858c35baa
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
- Donna K. Harman
- Gianluca Demartini
- Kevin Roitero
- Stefano Mizzaro
- Diane Kelly
- Eddy Maddalena
- Lucie Flekova
In Information Systems
- Donna K. Harman
- Gianluca Demartini
- Kevin Roitero
- Stefano Mizzaro
- Diane Kelly
- Eddy Maddalena
- Lucie Flekova
In Information Systems and Management
Citations in the corpus
- Methods for Evaluating Interactive Information Retrieval Systems with Users (2009, background): “We know from studies that have attempted to define relevance that there are many interpretations of this term, as well as many manifestations [235, 236].”
- Information Retrieval Evaluation (2011, background): “A recent set of papers by him [153, 154] not only reviewed his work but surveyed other past work in relevance, both in the theoretical sense (the first paper), and in a review of the user studies (second paper).”
- On Fine-Grained Relevance Scales (2018, background): “Relevance is a central concept in IR [18] evaluation; IR systems are usually evaluated using test collections, which are composed of (i) a collection of documents, (ii) a set of queries (called topics), and (iii) a set of relevance assessment for each (topic, document) pair in a pooled set of…”