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» Document Retrieval using a Probabilistic Knowledge Model
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IR
2000
13 years 6 months ago
Exploiting the Similarity of Non-Matching Terms at Retrieval Time
In classic InformationRetrieval systems a relevant document will not be retrieved in response to a query if the document and query representations do not share at least one term. T...
Fabio Crestani
SIGIR
2011
ACM
12 years 9 months ago
Cluster-based fusion of retrieved lists
Methods for fusing document lists that were retrieved in response to a query often use retrieval scores (or ranks) of documents in the lists. We present a novel probabilistic fusi...
Anna Khudyak Kozorovitzky, Oren Kurland
CIKM
2010
Springer
13 years 3 months ago
A late fusion approach to cross-lingual document re-ranking
The field of information retrieval still strives to develop models which allow semantic information to be integrated in the ranking process to improve performance in comparison to...
Dong Zhou, Séamus Lawless, Jinming Min, Vin...
SIGIR
2006
ACM
14 years 21 days ago
Measuring similarity of semi-structured documents with context weights
In this work, we study similarity measures for text-centric XML documents based on an extended vector space model, which considers both document content and structure. Experimenta...
Christopher C. Yang, Nan Liu
CLEF
2006
Springer
13 years 10 months ago
The University of New South Wales at GeoCLEF 2006
This paper describes our participation in the GeoCLEF monolingual English task of the Cross Language Evaluation Forum 2006. The main objective of this study is to evaluate the retr...
You-Heng Hu, Linlin Ge