Projects per year
Abstract
Over the years a number of models have been introduced as solutions to the central IR problem of ranking documents given textual queries. Here we define another new model. It is a probabilistic model and has no term interdependencies, thus allowing calculation from inverted indices. It is based upon a simple core hypothesis, directly calculating a ranking score in terms of probability theory. Early results show that its performance is credible, even in the absence of parameters or heuristics. Its semantic basis gives absolute results, allowing different rankings to be compared with each other. The investigation of this model is at a very early stage; here, we simply propose the model for further investigation.
Original language  English 

Title of host publication  Proceeding ICTIR '13 Proceedings of the 2013 Conference on the Theory of Information Retrieval 
Editors  Orlen Kurland, Donald Metzler, Christina Lioma, Birger Larsen, Peter Ingwersen 
Place of Publication  New York, NY 
Pages  109112 
Number of pages  4 
DOIs  
Publication status  Published  29 Sep 2013 
Event  2013 Conference on the Theory of Information Retrieval  Copenhagen, Denmark Duration: 29 Sep 2013 → 2 Oct 2013 
Conference
Conference  2013 Conference on the Theory of Information Retrieval 

Country  Denmark 
City  Copenhagen 
Period  29/09/13 → 2/10/13 
Keywords
 information retrieval
 ranking documents
 probabilistic retrieval
 JensenShannon divergence
 textual queries
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Projects
 1 Finished

Structural Comparison of Labelled Graph Data
Connor, R.
EPSRC (Engineering and Physical Sciences Research Council)
1/10/09 → 30/09/12
Project: Research