Zitationsschlüssel:
Fuhr/Pfeifer:94
Titel:
Probabilistic Information Retrieval as Combination of Abstraction, Inductive Learning and Probabilistic Assumptions
Autor(en):
N. Fuhr
U. Pfeifer
Journal:
ACM Transactions on Information Systems
Ausgabe:
12
Nummer:
1
Seite(n):
92--115
Jahr:
1994

Zusammenfassung:
We show that former approaches in probabilistic information retrieval are based on one or two of the three concepts abstraction, inductive learning and probabilistic assumptions, and we propose a new approach which combines all three concepts. This approach is illustrated for the case of indexing with a controlled vocabulary. For this purpose, we describe a new probabilistic model first, which is then combined with logistic regression, thus yielding a generalization of the original model. Experimental results for the pure theoretical model as well as for heuristic variants are given. Furthermore, linear and logistic regression are compared.
Klassifikation(en):
H.3.3
Subjektdeskriptor(en):
retrieval models
Schlüsselwörter:
probabilistic retrieval

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