Search results for "dist:RePrec GOEVERT"
RePrec::EP - compute precision values
Computation of precision values according to the *Expected Precision* measure (user standpoint: stop at a given number of relevant documents)....
GOEVERT/RePrec-0.032 - 08 Dec 2003 16:46:07 UTC
RePrec::PRR - compute precision values
Computation of precision values according to the *Probability of Relevance* measure (user standpoint: stop at a given number of relevant documents retrieved)....
GOEVERT/RePrec-0.032 - 08 Dec 2003 16:46:07 UTC
RePrec::Raw - compute precision values
Computation of raw precision values at simple recall points. Precision is not uniquely defined in the case of ranks which don't have relevant documents. Therefore it migth happen that for a given recaqll point more than one precision value is returne...
GOEVERT/RePrec-0.032 - 08 Dec 2003 16:46:07 UTC
RePrec - compute recall precision curves
RePrec is an abstract class for computing recall precision curves. Subclasses implement different recall-precision curve interpretation measures. Theoretical background is given in detail by the *Information Retrieval Lecture Notes* by Norbert Fuhr (...
GOEVERT/RePrec-0.032 - 08 Dec 2003 16:46:07 UTC
RePrec::Ceiling - compute precision values
Computation of precision values according to the *PRECALLceiling* measure....
GOEVERT/RePrec-0.032 - 08 Dec 2003 16:46:07 UTC
RePrec::Salton - compute precision values
Compute precision values and interpolate according to Salton's proposal. Precision is not uniquely defined in the case of ranks which don't have relevant documents. Therefore it migth happen that for a given recaqll point more than one precision valu...
GOEVERT/RePrec-0.032 - 08 Dec 2003 16:46:07 UTC
RePrec::EP_ND - compute precision values
Computation of precision values according to the *Expected Precision* measure (user standpoint: stop at a given number of documents retrieved). Equivalent to this measure is the *Probability of relevance (PRR)* measure with the same user standpoint....
GOEVERT/RePrec-0.032 - 08 Dec 2003 16:46:07 UTC
RePrec::Tools - Collection of tools for RePrec(3) libraries
Functions shared between the various RePrec(3) libraries....
GOEVERT/RePrec-0.032 - 08 Dec 2003 16:46:07 UTC
RePrec::Average - compute average of recall-precision curves
Given some recall-precision RePrec(3) oobjects the average precision over same recall points is calculated (macro measure)....
GOEVERT/RePrec-0.032 - 08 Dec 2003 16:46:07 UTC
RePrec::Searchresult::HySpirit - Parse HySpirit search results
See RePrec::Searchresult(3);...
GOEVERT/RePrec-0.032 - 08 Dec 2003 16:46:07 UTC
RePrec::Collection - Parse relevance judgements for evaluation purposes
To do an evaluation of effectiveness of information retrieval methods one needs relevance judgements for queries and a collection under consideration. These need to be parsed for doing the evaluation. Class RePrec::Collection provides for means to do...
GOEVERT/RePrec-0.032 - 08 Dec 2003 16:46:07 UTC
RePrec::Collection::FERMI - Parse relevance judgements for FERMI
See RePrec::Collection(3)....
GOEVERT/RePrec-0.032 - 08 Dec 2003 16:46:07 UTC
RePrec::Collection::Paris - Parse relevance judgements for Paris database
See RePrec::Collection(3)....
GOEVERT/RePrec-0.032 - 08 Dec 2003 16:46:07 UTC
RePrec::Searchresult - Parse search result for evaluation purposes
To do an evaluation of effectiveness of information retrieval methods one needs to parse the results of a query run. From a ranking of documents one needs to filter out the document IDs (DOCIDs) and their respective ranks or retrieval status values (...
GOEVERT/RePrec-0.032 - 08 Dec 2003 16:46:07 UTC
reprec - calculate recall precision curves for TREC style retrieval results
With reprec one can calculate recall precision curves using TREC style result and relevance judgements files. The judgements file (option -collection) must be in the following format: each line represents the relevance judgement for a single document...
GOEVERT/RePrec-0.032 - 08 Dec 2003 16:46:07 UTC