.ipynb

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 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import utils\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from fairness_algorithm import ILP\n",
    "\n",
    "fairness_tradeoff = 1.0\n",
    "ranklist_length = 1\n",
    "iteration_times = 20\n",
    "if __name__ == \"__main__\":\n",
    "    qid_docidlist_dict,qid_reltensor_dict = utils.uniform(1,100,0.5)\n",
    "    ilp = ILP(qid_reltensor_dict,qid_docidlist_dict,utils.position_bias.singular(10),fairness_tradeoff)\n",
    "    for _ in range(iteration_times):\n",
    "        rl = ilp.get_ranking_list(0,ranklist_length)\n",
    "        #print(rl)\n",
    "    plt.plot([i for i in range(iteration_times)],ilp.unfairness_list)\n",
    "    plt.xlabel(\"iteration\")\n",
    "    plt.ylabel(\"unfairness\")\n",
    "    plt.show()"
   ]
  }
 ],
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   "name": "python"
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