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m_prefs_avgjg_ret.c
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m_prefs_avgjg_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_avgjg_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_avgjg_ret = { "prefs_avgjg_ret",
" Simple ratio of preferences fulfilled to preferences possible\n\
within a judgment group, averaged over jgs. I.e., rather than considering\n\
all preferences equal (prefs_simp), consider all judgment groups equal.\n\
prefs_avgjg = AVERAGE_OVER_JG (fulfilled_jg / possible_jg);\n\
May be useful in applications where user satisfaction is represented\n\
by a jg per user, and it is not desirable for many preferences expressed\n\
by user1 to swamp a few preferences by user2.\n\
For doc pref A>B, A and B must both be retrieved to be counted as either\n\
fulfilled or possible.\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_avgjg_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_avgjg_ret(const EPI * epi, const REL_INFO * rel_info,
const RESULTS * results, const TREC_MEAS * tm,
TREC_EVAL * eval)
{
RESULTS_PREFS results_prefs;
long i;
long ful, poss;
double sum;
if (UNDEF == form_prefs_counts(epi, rel_info, results, &results_prefs))
return (UNDEF);
sum = 0.0;
for (i = 0; i < results_prefs.num_jgs; i++) {
ful = results_prefs.jgs[i].num_prefs_fulfilled_ret;
poss = results_prefs.jgs[i].num_prefs_possible_ret;
if (poss)
sum += (double) ful / (double) poss;
}
/* Simple ratio of preferences fulfilled to preferences possible in
each jg, averaged over jgs */
if (sum > 0.0) {
eval->values[tm->eval_index].value =
sum / (double) results_prefs.num_jgs;
}
return (1);
}