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m_prefs_pair_ret.c
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m_prefs_pair_ret.c
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/*
Copyright (c) 2008 - Chris Buckley.
Permission is granted for use and modification of this file for
research, non-commercial purposes.
*/
#include "common.h"
#include "sysfunc.h"
#include "trec_eval.h"
#include "functions.h"
#include "trec_format.h"
static int
te_calc_prefs_pair_ret(const EPI * epi, const REL_INFO * rel_info,
const RESULTS * results, const TREC_MEAS * tm,
TREC_EVAL * eval);
/* See trec_eval.h for definition of TREC_MEAS */
TREC_MEAS te_meas_prefs_pair_ret = { "prefs_pair_ret",
" Average over doc pairs of preference ratio for that pair.\n\
If a doc pair satisfies 3 preferences but fails 2 preferences (preferences\n\
from 5 different users), then the score for doc pair is 3/5.\n\
Same as prefs_simp if there are no doc_pairs in multiple judgment groups.\n\
For doc pref A>B, A and B must both be retrieved to be counted as either\n\
fulfilled or possible.\n\
For doc pref A>B, this includes implied preferences (only one of A or B\n\
retrieved), and counts as failure if neither A nor B retrieved.\n\
pref_*_ret measures should be used for dynamic collections but are\n\
inferior in most other applications.\n\
Assumes '-R prefs' or '-R qrels_prefs'\n",
te_init_meas_s_double,
te_calc_prefs_pair_ret,
te_acc_meas_s,
te_calc_avg_meas_s,
te_print_single_meas_s_double,
te_print_final_meas_s_double,
NULL, -1
};
static int
te_calc_prefs_pair_ret(const EPI * epi, const REL_INFO * rel_info,
const RESULTS * results, const TREC_MEAS * tm,
TREC_EVAL * eval)
{
RESULTS_PREFS rp;
long i, j;
double sum = 0;
long num_pairs = 0;
if (UNDEF == form_prefs_counts(epi, rel_info, results, &rp))
return (UNDEF);
for (i = 0; i < rp.num_judged_ret; i++) {
for (j = i + 1; j < rp.num_judged_ret; j++) {
if (rp.pref_counts.array[i][j] || rp.pref_counts.array[j][i]) {
num_pairs++;
sum += (double) rp.pref_counts.array[i][j] /
(double) (rp.pref_counts.array[i][j] +
rp.pref_counts.array[j][i]);
}
}
}
if (num_pairs) {
eval->values[tm->eval_index].value = sum / (double) num_pairs;
}
return (1);
}