robkw/introduction_to_recommender_systems
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task explanation #4

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P5. Graph-based.ipynb
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@ -1380,7 +1380,9 @@
"# We generated recommendations for P3, a special case of RP3Beta (with alpha=1, beta=0).\n",
"# We've observed that changing alpha and beta impacts the model performance.\n",
"\n",
"# Your task is find values alpha and beta for which recall will be the highest, train the model and generate recommendations.\n",
"# Your task is find values alpha and beta for which recall will be the highest \n",
"# (any solution with recall higher than P3 will be accepted)\n",
"# train the model and generate recommendations.\n",
"\n",
"# save the outptut in 'Recommendations generated/ml-100k/Self_RP3Beta_estimations.csv'\n",
"# and 'Recommendations generated/ml-100k/Self_RP3Beta_reco.csv'"