diff --git a/user_not_read/user_not_read.csv b/user_not_read/user_not_read.csv
new file mode 100644
index 0000000..8142a88
--- /dev/null
+++ b/user_not_read/user_not_read.csv
@@ -0,0 +1,26 @@
+user_id,post_id
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diff --git a/user_not_read/user_not_read.ipynb b/user_not_read/user_not_read.ipynb
new file mode 100644
index 0000000..261fa29
--- /dev/null
+++ b/user_not_read/user_not_read.ipynb
@@ -0,0 +1,447 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "interactions_df = pd.read_csv('data/notifications.csv')\n",
+    "interactions_df.drop(labels=['parent_comment_id', 'status', 'created_at', 'updated_at'], axis=1, inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "li = ['id', 'post_id', 'comment', 'sender_id', 'user_id', 'action', 'type']\n",
+    "for item in li:\n",
+    "    interactions_df[item] = interactions_df[item].fillna('')\n",
+    "user_list = interactions_df['user_id'].tolist()\n",
+    "user_list = list(dict.fromkeys(user_list))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>id</th>\n",
+       "      <th>post_id</th>\n",
+       "      <th>comment</th>\n",
+       "      <th>sender_id</th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>action</th>\n",
+       "      <th>type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>4</td>\n",
+       "      <td>7</td>\n",
+       "      <td>Followed</td>\n",
+       "      <td>Following</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Followed</td>\n",
+       "      <td>Following</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>3</td>\n",
+       "      <td>45</td>\n",
+       "      <td>Followed</td>\n",
+       "      <td>Following</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>5</td>\n",
+       "      <td></td>\n",
+       "      <td></td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Followed</td>\n",
+       "      <td>Following</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>7</td>\n",
+       "      <td>278</td>\n",
+       "      <td>Hey bro!</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>Commented</td>\n",
+       "      <td>Post</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   id post_id   comment  sender_id  user_id     action       type\n",
+       "0   1                            4        7   Followed  Following\n",
+       "1   2                            1        4   Followed  Following\n",
+       "2   3                            3       45   Followed  Following\n",
+       "3   5                            1        4   Followed  Following\n",
+       "4   7     278  Hey bro!          1        4  Commented       Post"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "interactions_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "interactions_user_df = interactions_df.groupby(['user_id'])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "8    143\n",
+       "Name: post_id, dtype: object"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "interactions_user_df.get_group(2191)['post_id']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for i in range(0):\n",
+    "    print('hello')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "371.0\n",
+      "371.0\n",
+      "371.0\n",
+      "371.0\n",
+      "371.0\n",
+      "371.0\n",
+      "375.0\n",
+      "360.0\n",
+      "1007.0\n",
+      "1007.0\n",
+      "1007.0\n",
+      "1007.0\n",
+      "998.0\n",
+      "1007.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "for i in range(len(interactions_user_df.get_group(3)['post_id'])):\n",
+    "    print(interactions_user_df.get_group(3)['post_id'].iloc[i])\n",
+    "    "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "user_read = {}\n",
+    "for item in user_list:\n",
+    "    item = int(item)\n",
+    "    item_list=[]\n",
+    "    int_item_list=[]\n",
+    "    for i in range(len(interactions_user_df.get_group(item)['post_id'])):\n",
+    "        item_list.append(interactions_user_df.get_group(item)['post_id'].iloc[i])\n",
+    "        item_list = list(dict.fromkeys(item_list))\n",
+    "        if '' in item_list:\n",
+    "            item_list.remove('')\n",
+    "    for i in item_list:\n",
+    "        int_item_list.append(int(i))\n",
+    "    user_read.update({item:int_item_list})\n",
+    "        "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{7: [360, 355, 353], 4: [278, 999], 45: [], 363: [], 2191: [143], 3: [371, 375, 360, 1007, 998], 856: [], 59: [], 6: [439], 11: [], 1147: [], 118: [], 2218: [], 922: [], 738: [], 101: [], 458: [], 535: [], 326: [], 1047: [], 1926: [], 29: [], 2: [986, 985, 992, 993, 998, 983], 1: [355, 996, 995], 22: [1002]}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(user_read)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "post_df = pd.read_csv('data/posts.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 73,
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[1, 2, 4, 6, 7, 8, 9, 11, 12, 13, 15, 16, 20, 21, 23, 24, 25, 26, 27, 29, 30, 32, 33, 34, 35, 36, 37, 39, 40, 41, 42, 46, 47, 48, 49, 50, 52, 55, 56, 57, 59, 60, 62, 63, 64, 65, 67, 78, 79, 80, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 99, 100, 101, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 167, 168, 169, 170, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 196, 197, 198, 199, 200, 201, 203, 204, 205, 206, 207, 208, 209, 210, 211, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 230, 232, 233, 234, 235, 236, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 291, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 346, 347, 348, 349, 350, 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 371, 372, 373, 374, 375, 376, 377, 378, 379, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 504, 505, 506, 507, 508, 509, 510, 511, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 624, 625, 626, 627, 628, 629, 630, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 658, 659, 660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 703, 704, 705, 706, 707, 710, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740, 741, 742, 743, 744, 746, 747, 748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831, 832, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846, 847, 848, 849, 850, 851, 852, 853, 855, 856, 858, 859, 860, 861, 862, 864, 865, 866, 868, 869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883, 884, 885, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912, 916, 923, 929, 930, 931, 932, 933, 934, 935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 960, 961, 962, 963, 964, 966, 967, 968, 969, 970, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989, 991, 992, 993, 994, 995, 996, 998, 999, 1000, 1001, 1002, 1003, 1004, 1005, 1006, 1007]\n"
+     ]
+    }
+   ],
+   "source": [
+    "post_list = post_df['id'].tolist()\n",
+    "print(post_list)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[360, 355, 353]"
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "user_read[7]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "user_not_read = {}\n",
+    "for user in user_list:\n",
+    "    user_notread=[]\n",
+    "    for post in post_list:\n",
+    "        if post not in user_read[user]:\n",
+    "            user_notread.append(post)\n",
+    "    user_not_read.update({user:user_notread})            "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{7: [1, 2, 4, 6, 7, 8, 9, 11, 12, 13, 15, 16, 20, 21, 23, 24, 25, 26, 27, 29, 30, 32, 33, 34, 35, 36, 37, 39, 40, 41, 42, 46, 47, 48, 49, 50, 52, 55, 56, 57, 59, 60, 62, 63, 64, 65, 67, 78, 79, 80, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 99, 100, 101, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 167, 168, 169, 170, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 196, 197, 198, 199, 200, 201, 203, 204, 205, 206, 207, 208, 209, 210, 211, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 230, 232, 233, 234, 235, 236, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 287, 288, 289, 291, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 346, 347, 348, 349, 350, 351, 352, 354, 356, 357, 358, 359, 361, 362, 363, 364, 365, 366, 371, 372, 373, 374, 375, 376, 377, 378, 379, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 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+     ]
+    }
+   ],
+   "source": [
+    "print(user_not_read)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>user_id</th>\n",
+       "      <th>post_id</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <td>0</td>\n",
+       "      <td>7</td>\n",
+       "      <td>[1, 2, 4, 6, 7, 8, 9, 11, 12, 13, 15, 16, 20, ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>[1, 2, 4, 6, 7, 8, 9, 11, 12, 13, 15, 16, 20, ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>2</td>\n",
+       "      <td>45</td>\n",
+       "      <td>[1, 2, 4, 6, 7, 8, 9, 11, 12, 13, 15, 16, 20, ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>3</td>\n",
+       "      <td>363</td>\n",
+       "      <td>[1, 2, 4, 6, 7, 8, 9, 11, 12, 13, 15, 16, 20, ...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <td>4</td>\n",
+       "      <td>2191</td>\n",
+       "      <td>[1, 2, 4, 6, 7, 8, 9, 11, 12, 13, 15, 16, 20, ...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   user_id                                            post_id\n",
+       "0        7  [1, 2, 4, 6, 7, 8, 9, 11, 12, 13, 15, 16, 20, ...\n",
+       "1        4  [1, 2, 4, 6, 7, 8, 9, 11, 12, 13, 15, 16, 20, ...\n",
+       "2       45  [1, 2, 4, 6, 7, 8, 9, 11, 12, 13, 15, 16, 20, ...\n",
+       "3      363  [1, 2, 4, 6, 7, 8, 9, 11, 12, 13, 15, 16, 20, ...\n",
+       "4     2191  [1, 2, 4, 6, 7, 8, 9, 11, 12, 13, 15, 16, 20, ..."
+      ]
+     },
+     "execution_count": 78,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "user_not_read_df = pd.DataFrame(list(user_not_read.items()), index = [i for i in range(len(user_not_read))], columns=['user_id', 'post_id'])\n",
+    "user_not_read_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "user_not_read_df.to_csv(r'data/user_not_read.csv', index=None, header=True)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}