Relevance - Library and Information Science

Library and Information Science

This field has considered when documents (or document representations) retrieved from databases are relevant or non-relevant. Given a conception of relevance, two measures have been applied: Precision and recall:

Recall = a : (a + c) X 100%, where a = number of retrieved, relevant documents, c = number of non-retrieved, relevant documents (sometimes termed "silence"). Recall is thus an expression of how exhaustive a search for documents is.

Precision = a : (a + b) X 100%, where a = number of retrieved, relevant documents, b = number of retrieved, non-relevant documents (often termed "noise").

Precision is thus an a measure of the amount of noise in document-retrieval.

Relevance itself has in the literature often been based on what is termed "the system's view" and "the user's view". Hjørland (2010) criticize these two views and defends a "subject knowledge view of relevance".

Read more about this topic:  Relevance

Other articles related to "library and information science, information science, information, library, library and information sciences, and information science, science":

Library And Information Science - Common Subfields
... Information science General aspects Information access · Information architecture Information management Information retrieval Information seeking · Information society Knowledge organization · Ontology ... Library studies c ... Information architecture d ...
Secondary Source - Classification - In Science and Technology - Library and Information Science
... In library and information sciences, secondary sources are generally regarded as those sources that summarize or add commentary to primary sources in the context of the particular ...
School Of Communication And Information (Rutgers University) - Core Faculty Members - Library and Information Science
... Nicholas Belkin (Information Science) Kay Cassell (Reference and Information Science) Marija Dalbello (Social History of Knowledge, Documents, Collections) Carol ... Hastings (Children's Literature) Paul Kantor (Information and Computer Science and Operations Research) Michael Lesk (Information Science) Ya-Ling Lu (Information Science) Claire R ... Mclnerney (Information Science, Information and Communication Technology, Social Informatics) Stewart Mohr (Knowledge Management, Information Science) Smaranda Muresan (Natu ...

Famous quotes containing the words library and, science, library and/or information:

    With sighs more lunar than bronchial,
    Howbeit eluding fallopian diagnosis,
    She simpers into the tribal library and reads
    That Keats died of tuberculosis . . .
    Allen Tate (1899–1979)

    Science is facts. Just as houses are made of stones, so is science made of facts. But a pile of stones is not a house and a collection of facts is not necessarily science.
    Jules Henri Poincare (1854–1912)

    ... as beauty is in the eye of the beholder, the ideal library is in the wish of its maker.
    Carolyn Wells (1862–1942)

    Knowledge is of two kinds. We know a subject ourselves, or we know where we can find information upon it.
    Samuel Johnson (1709–1784)