" <td>Hanes Charcoal Grey Thermal T Shirt, Hanes, T...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14859</th>\n",
" <td>14859</td>\n",
" <td>Hancock Men Blue Regular Fit Striped Formal Shirt</td>\n",
" <td>Formal Shirts</td>\n",
" <td>Hancock Men Blue Regular Fit Striped Formal Sh...</td>\n",
...
...
@@ -324,7 +597,7 @@
"14859 Hancock Men Blue Regular Fit Striped Formal Sh... "
]
},
"execution_count": 9,
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
...
...
@@ -335,7 +608,7 @@
},
{
"cell_type": "code",
"execution_count": 10,
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
...
...
@@ -345,7 +618,7 @@
},
{
"cell_type": "code",
"execution_count": 11,
"execution_count": 12,
"metadata": {},
"outputs": [
{
...
...
@@ -367,9 +640,18 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": 13,
"metadata": {},
"outputs": [],
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\Agusti Frananda\\Anaconda3\\lib\\site-packages\\sklearn\\feature_extraction\\text.py:17: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working\n",
"C:\\Users\\User\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: DeprecationWarning: Call to deprecated `most_similar` (Method will be removed in 4.0.0, use self.wv.most_similar() instead).\n",
"C:\\Users\\Agusti Frananda\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: DeprecationWarning: Call to deprecated `most_similar` (Method will be removed in 4.0.0, use self.wv.most_similar() instead).\n",
" \"\"\"Entry point for launching an IPython kernel.\n"
]
},
...
...
@@ -1546,14 +1828,15 @@
"name": "stdout",
"output_type": "stream",
"text": [
"caffein\n",
"retro\n",
"transpar\n",
"assassin\n",
"junior\n",
"retro\n",
"rubber\n",
"pace\n",
"assassin\n",
"emoji\n"
"digit\n",
"transpar\n",
"caffein\n",
"collect\n",
"creed\n"
]
}
],
...
...
@@ -1565,14 +1848,14 @@
},
{
"cell_type": "code",
"execution_count": 22,
"execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\User\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: DeprecationWarning: Call to deprecated `most_similar` (Method will be removed in 4.0.0, use self.wv.most_similar() instead).\n",
"C:\\Users\\Agusti Frananda\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: DeprecationWarning: Call to deprecated `most_similar` (Method will be removed in 4.0.0, use self.wv.most_similar() instead).\n",
" \"\"\"Entry point for launching an IPython kernel.\n"
]
},
...
...
@@ -1581,14 +1864,13 @@
"output_type": "stream",
"text": [
"tshirt\n",
"proplanet\n",
"signatur\n",
"alci\n",
"stardust\n",
"homm\n",
"price\n",
"bonati\n",
"greenturn\n",
"nautica\n",
"fritzberg\n"
"tantra\n",
"naresh\n",
"statement\n"
]
}
],
...
...
@@ -1600,14 +1882,14 @@
},
{
"cell_type": "code",
"execution_count": 23,
"execution_count": 24,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\User\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: DeprecationWarning: Call to deprecated `most_similar` (Method will be removed in 4.0.0, use self.wv.most_similar() instead).\n",
"C:\\Users\\Agusti Frananda\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: DeprecationWarning: Call to deprecated `most_similar` (Method will be removed in 4.0.0, use self.wv.most_similar() instead).\n",
" \"\"\"Entry point for launching an IPython kernel.\n"
]
},
...
...
@@ -1616,14 +1898,14 @@
"output_type": "stream",
"text": [
"price\n",
"dennison\n",
"oxolloxo\n",
"southbay\n",
"ivoc\n",
"guess\n",
"excalibur\n",
"rigo\n",
"smokestack\n",
"zeal\n"
"dazzio\n",
"oxolloxo\n",
"dilling\n",
"rasm\n",
"dennison\n"
]
}
],
...
...
@@ -1636,7 +1918,7 @@
},
{
"cell_type": "code",
"execution_count": 24,
"execution_count": 25,
"metadata": {},
"outputs": [
{
...
...
@@ -1644,13 +1926,14 @@
"output_type": "stream",
"text": [
"bottomwear\n",
"alvaro\n",
"loungewear\n",
"enfield\n",
"apparel\n",
"headwear\n",
"peter\n",
"nightwear\n",
"pacif\n"
"royal\n",
"mumf\n",
"alvaro\n",
"underwear\n",
"robe\n"
]
}
],
...
...
@@ -1664,14 +1947,14 @@
},
{
"cell_type": "code",
"execution_count": 25,
"execution_count": 26,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\User\\Anaconda3\\lib\\site-packages\\gensim\\models\\keyedvectors.py:877: FutureWarning: arrays to stack must be passed as a \"sequence\" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.\n",
"C:\\Users\\Agusti Frananda\\Anaconda3\\lib\\site-packages\\gensim\\models\\keyedvectors.py:877: FutureWarning: arrays to stack must be passed as a \"sequence\" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.\n",
" vectors = vstack(self.word_vec(word, use_norm=True) for word in used_words).astype(REAL)\n"
"C:\\Users\\Agusti Frananda\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: DeprecationWarning: Call to deprecated `most_similar` (Method will be removed in 4.0.0, use self.wv.most_similar() instead).\n",
" \"\"\"Entry point for launching an IPython kernel.\n"
"['Wills Lifestyle Men Grey Regular Fit Woollen Solid Formal Trousers']"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"products_dict['Men Formal Trousers']"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {},
"outputs": [],
"source": [
"def similar_products(v, n = 6):\n",
" \n",
" # extract most similar products for the input vector\n",
" ms = model.similar_by_vector(v, topn= n+1)[1:]\n",
" \n",
" # extract name and similarity score of the similar products\n",
" new_ms = []\n",
" for j in ms:\n",
" pair = (products_dict[j[0]][0], j[1])\n",
" new_ms.append(pair)\n",
" \n",
" return new_ms"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\Agusti Frananda\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:1: DeprecationWarning: Call to deprecated `__getitem__` (Method will be removed in 4.0.0, use self.wv.__getitem__() instead).\n",
" \"\"\"Entry point for launching an IPython kernel.\n",
"C:\\Users\\Agusti Frananda\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:4: DeprecationWarning: Call to deprecated `similar_by_vector` (Method will be removed in 4.0.0, use self.wv.similar_by_vector() instead).\n",
"\u001b[1;32m<ipython-input-44-b12c7e3e20d0>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0msimilar_products\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmodel\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'fort'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
"C:\\Users\\Agusti Frananda\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:5: DeprecationWarning: Call to deprecated `__getitem__` (Method will be removed in 4.0.0, use self.wv.__getitem__() instead).\n",
" \"\"\"\n",
"C:\\Users\\Agusti Frananda\\Anaconda3\\lib\\site-packages\\numpy\\core\\fromnumeric.py:3118: RuntimeWarning: Mean of empty slice.\n",
" out=out, **kwargs)\n",
"C:\\Users\\Agusti Frananda\\Anaconda3\\lib\\site-packages\\numpy\\core\\_methods.py:85: RuntimeWarning: invalid value encountered in double_scalars\n",
" ret = ret.dtype.type(ret / rcount)\n",
"C:\\Users\\Agusti Frananda\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:4: DeprecationWarning: Call to deprecated `similar_by_vector` (Method will be removed in 4.0.0, use self.wv.similar_by_vector() instead).\n",
"\u001b[1;32m<ipython-input-48-0643cd97cf20>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0msimilar_products\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0maggregate_vectors\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mproducts_val\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[1;32m<ipython-input-42-19f474f97eb7>\u001b[0m in \u001b[0;36msimilar_products\u001b[1;34m(v, n)\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[1;31m# extract most similar products for the input vector\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 4\u001b[1;33m \u001b[0mms\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmodel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msimilar_by_vector\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mv\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtopn\u001b[0m\u001b[1;33m=\u001b[0m \u001b[0mn\u001b[0m\u001b[1;33m+\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 5\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 6\u001b[0m \u001b[1;31m# extract name and similarity score of the similar products\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
