TECHNIQUES FOR TRAINING A STORE DEMAND FORECASTING MODEL

TECHNIQUES FOR TRAINING A STORE DEMAND FORECASTING MODEL

According to an embodiment of the present invention, a method for training a store demand forecasting model is disclosed. The method for training a store demand forecasting model comprises the following steps of: generating a demand forecasting value by inputting an input data set for learning inclu...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: CHOI HOON MIN
Format: Patent
Sprache:eng ; kor
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:According to an embodiment of the present invention, a method for training a store demand forecasting model is disclosed. The method for training a store demand forecasting model comprises the following steps of: generating a demand forecasting value by inputting an input data set for learning including store reservation history information and date information to a store demand forecasting model; and determining a weight of the demand forecasting model by using the demand forecasting value and label data. 본 개시의 일 실시예에 따라, 매장 수요 예측 모델을 학습시키는 방법이 개시된다. 매장 수요 예측 모델을 학습시키는 방법은, 매장의 예약 내역 정보 및 날짜 정보를 포함하는 학습용 입력 데이터 셋을 매장 수요 예측 모델에 입력하여 수요 예측 값을 생성하는 단계; 및 상기 수요 예측 값과 레이블 데이터를 이용하여 상기 수요 예측 모델의 가중치를 결정하는 단계;를 포함할 수 있다.