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additional clarifiaction to task 1

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Robert Kwiecinski 2021-04-11 16:30:13 +02:00
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P1. Baseline.ipynb
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@ -1053,15 +1053,21 @@
]
},
{
"cell_type": "code",
"execution_count": 21,
"cell_type": "markdown",
"metadata": {},
"outputs": [],
"source": [
"# Implement recommender system which will recommend movies (which user hasn't seen) which is similar to BaselineUI\n",
"# but first subtract column means then row means\n",
"# The output should be saved in 'Recommendations generated/ml-100k/Self_BaselineIU_reco.csv'\n",
"# and 'Recommendations generated/ml-100k/Self_BaselineIU_estimations.csv'"
"Implement recommender system which will recommend movies (which user hasn't seen) which is similar to BaselineUI but first subtract column means then row means.\n",
"\n",
"The output should be saved in 'Recommendations generated/ml-100k/Self_BaselineIU_reco.csv' and 'Recommendations generated/ml-100k/Self_BaselineIU_estimations.csv'.\n",
"\n",
"<br><br>\n",
"Additional clarification: \n",
"\n",
"Summarizing, the prediction of the rating of the user u regarding the item i should be equal to b_u + b_i.\n",
"The procedure to get b_u and b_i is the following:\n",
"- We have the original user-item ratings matrix M.\n",
"- For each column representing the item i, we compute the mean of ratings and denote by b_i. From each rating in matrix M we subtract the corresponding column mean (b_i) to receive new matrix M'.\n",
"- For each row of matrix M' representing the user u, we compute the mean of ratings and denote by b_u."
]
},
{