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IR
2008
13 years 5 months ago
An analysis on document length retrieval trends in language modeling smoothing
Abstract. Document length is widely recognized as an important factor for adjusting retrieval systems. Many models tend to favor the retrieval of either short or long documents and...
David E. Losada, Leif Azzopardi
SIGIR
2009
ACM
13 years 11 months ago
Compression-based document length prior for language models
The inclusion of document length factors has been a major topic in the development of retrieval models. We believe that current models can be further improved by more refined est...
Javier Parapar, David E. Losada, Alvaro Barreiro
ECIR
2008
Springer
13 years 6 months ago
Probabilistic Document Length Priors for Language Models
This paper addresses the issue of devising a new document prior for the language modeling (LM) approach for Information Retrieval. The prior is based on term statistics, derived in...
Roi Blanco, Alvaro Barreiro
SIGIR
2004
ACM
13 years 10 months ago
Length normalization in XML retrieval
XML retrieval is a departure from standard document retrieval in which each individual XML element, ranging from italicized words or phrases to full blown articles, is a potential...
Jaap Kamps, Maarten de Rijke, Börkur Sigurbj&...
SIGIR
2009
ACM
13 years 11 months ago
Risky business: modeling and exploiting uncertainty in information retrieval
Most retrieval models estimate the relevance of each document to a query and rank the documents accordingly. However, such an approach ignores the uncertainty associated with the ...
Jianhan Zhu, Jun Wang, Ingemar J. Cox, Michael J. ...