Citation-Key:
Fuhr:93
Title:
Representations, Models and Abstractions in Probabilistic Information Retrieval
Author(s):
N. Fuhr
Publisher:
Springer
In:
Information and Classification. Concepts, Methods and Applications
Page(s):
259--267
Year:
1993

Abstract:
We show that most approaches in probabilistic information retrieval can be regarded as a combination of the three concepts representation, model and abstraction. First, documents and queries have to be represented in a certain form, e.g. as a sets of terms. Probabilistic models use certain assumptions about the distribution of the elements of the representation in relevant and nonrelevant documents in order to estimate the probability of relevance of a document w.r.t. a query. Older approaches based on query-specific relevance feedback are restricted to simple representations and models. Using abstractions from specific documents, terms and queries, more powerful approaches can be realized.
Classification(s):
H.3.3
Subject descriptor(s):
retrieval models
Keywords:
probabilistic retrieval

BibTeX entry

Fulltext as PS