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SIGIR
1995
ACM
15 years 1 months ago
Probability Kinematics in Information Retrieval
We analyse the kinematics of probabilistic term weights at retrieval time for di erent Information Retrieval models. We present four models based on di erent notions of probabilis...
Fabio Crestani, C. J. van Rijsbergen
IR
2008
14 years 9 months ago
A probability ranking principle for interactive information retrieval
The classical Probability Ranking Principle (PRP) forms the theoretical basis for probabilistic Information Retrieval (IR) models, which are dominating IR theory since about 20 ye...
Norbert Fuhr
PRL
2008
181views more  PRL 2008»
14 years 9 months ago
Extractive spoken document summarization for information retrieval
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
Berlin Chen, Yi-Ting Chen
KES
2007
Springer
15 years 3 months ago
NBM and WNBM: Algorithms and Evaluation for Personalizing Information Retrieval in METIORE
The current Information Retrieval Systems return hundreds or thousands of documents in response to a query. Users consider only the first 20 or 30, but documents are often sorted a...
David Bueno, Ricardo Conejo, Amos David, Cristina ...
SIGIR
2004
ACM
15 years 2 months ago
Answer models for question answering passage retrieval
Answer patterns have been shown to improve the performance of open-domain factoid QA systems. Their use, however, requires either constructing the patterns manually or developing ...
Andrés Corrada-Emmanuel, W. Bruce Croft