A survey on the use of relevance feedback for information access systems
Ruthven, Ian and Lalmas, Mounia (2003) A survey on the use of relevance feedback for information access systems. Knowledge Engineering Review, 18 (2). pp. 95-145. ISSN 0269-8889
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Abstract
Users of online search engines often find it difficult to express their need for information in the form of a query. However, if the user can identify examples of the kind of documents they require then they can employ a technique known as relevance feedback. Relevance feedback covers a range of techniques intended to improve a user's query and facilitate retrieval of information relevant to a user's information need. In this paper we survey relevance feedback techniques. We study both automatic techniques, in which the system modifies the user's query, and interactive techniques, in which the user has control over query modification. We also consider specific interfaces to relevance feedback systems and characteristics of searchers that can affect the use and success of relevance feedback systems.
Creators(s): |
Ruthven, Ian ![]() | Item type: | Article |
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ID code: | 2457 |
Keywords: | relevance feedback, information access systems, databases, Electronic computers. Computer science, Artificial Intelligence, Software |
Subjects: | Science > Mathematics > Electronic computers. Computer science |
Department: | Faculty of Science > Computer and Information Sciences |
Depositing user: | Strathprints Administrator |
Date deposited: | 17 Jan 2007 |
Last modified: | 20 Jan 2021 16:54 |
Related URLs: | |
URI: | https://strathprints.strath.ac.uk/id/eprint/2457 |
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