{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"This is the simplest \"dumb\" algorithm I could think of where I recommend the most popular 12 products in the last month to all users.","metadata":{}},{"cell_type":"code","source":"import pathlib\n\nimport numpy as np\nimport pandas as pd","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2022-02-21T11:31:05.192946Z","iopub.execute_input":"2022-02-21T11:31:05.193299Z","iopub.status.idle":"2022-02-21T11:31:10.148363Z","shell.execute_reply.started":"2022-02-21T11:31:05.193209Z","shell.execute_reply":"2022-02-21T11:31:10.147469Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"DATA = pathlib.Path(\"/kaggle/input/h-and-m-personalized-fashion-recommendations/\")\n\n# articles = pd.read_csv(DATA / \"articles.csv\")\n# customers = pd.read_csv(DATA / \"customers.csv\")\ntransactions = pd.read_csv(DATA / \"transactions_train.csv\")\ntransactions[\"t_dat\"] = pd.to_datetime(transactions[\"t_dat\"])\nsubmission = pd.read_csv(DATA / \"sample_submission.csv\")","metadata":{"execution":{"iopub.status.busy":"2022-02-21T11:31:10.158476Z","iopub.execute_input":"2022-02-21T11:31:10.159045Z","iopub.status.idle":"2022-02-21T11:32:35.635015Z","shell.execute_reply.started":"2022-02-21T11:31:10.159007Z","shell.execute_reply":"2022-02-21T11:32:35.633576Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"counts = transactions[\"article_id\"].value_counts()\npop_items = counts[:12]\npop_items","metadata":{"execution":{"iopub.status.busy":"2022-02-21T11:35:16.487316Z","iopub.execute_input":"2022-02-21T11:35:16.487608Z","iopub.status.idle":"2022-02-21T11:35:16.493817Z","shell.execute_reply.started":"2022-02-21T11:35:16.487577Z","shell.execute_reply":"2022-02-21T11:35:16.493247Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"latest_pop_items = transactions[transactions[\"t_dat\"] >= \"2020-09-01\"][\"article_id\"].value_counts()[:12]\nlatest_pop_items","metadata":{"execution":{"iopub.status.busy":"2022-02-21T11:41:19.075014Z","iopub.execute_input":"2022-02-21T11:41:19.075311Z","iopub.status.idle":"2022-02-21T11:41:19.224679Z","shell.execute_reply.started":"2022-02-21T11:41:19.075279Z","shell.execute_reply":"2022-02-21T11:41:19.223936Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"submission[\"prediction\"] = \" \".join([str(item_id) for item_id in latest_pop_items.index.tolist()])\nsubmission.to_csv(\"/kaggle/working/submission.csv\", index=False)","metadata":{"execution":{"iopub.status.busy":"2022-02-21T11:44:21.114749Z","iopub.execute_input":"2022-02-21T11:44:21.115094Z","iopub.status.idle":"2022-02-21T11:44:33.530479Z","shell.execute_reply.started":"2022-02-21T11:44:21.115061Z","shell.execute_reply":"2022-02-21T11:44:33.52979Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{},"execution_count":null,"outputs":[]}]}