METHOD COMPUTER DEVICE AND COMPUTER PROGRAM TO PROVIDE OPTIMAL PATH USING EXPERT KNOWLEDGE

METHOD COMPUTER DEVICE AND COMPUTER PROGRAM TO PROVIDE OPTIMAL PATH USING EXPERT KNOWLEDGE

Disclosed are a method, a computer device, and a computer program for providing the optimal path using expert knowledge. The method for providing the optimal path using expert knowledge comprises a step of predicting a next action of a target user through an optimal path prediction model trained by...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: LEE CHANHEE, LEE GUN SU, WON JINMYUNG, KIM DONGCHAN, KIM YOUNG BUM, YU HONGYEON, KIM SUN
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:Disclosed are a method, a computer device, and a computer program for providing the optimal path using expert knowledge. The method for providing the optimal path using expert knowledge comprises a step of predicting a next action of a target user through an optimal path prediction model trained by a path in a graph form expressing a user behavior trace by session unit and recommending a path of the predicted action as an optimal path. The recommending step may comprise the steps of: identifying user intent based on a previous behavior trace at a current session of the target user; and determining one of the optimum paths as a path corresponding to the user intent. According to the present invention, the method models a user experience to recommend the optimum paths to attain the purposes. 전문가 지식을 이용한 최적 경로를 제공하는 방법, 컴퓨터 장치, 및 컴퓨터 프로그램이 개시된다. 전문가 지식을 이용한 최적 경로를 제공하는 방법은, 세션(session) 단위의 사용자 행동 궤적을 표현한 그래프 형태의 패스(path)로 학습된 최적 경로 예측 모델을 통해 타겟 사용자의 다음 액션을 예측하여 예측된 액션의 패스를 최적 경로로 추천하는 단계를 포함하고, 상기 추천하는 단계는, 상기 타겟 사용자의 현재 세션에서의 이전 행동 궤적을 기초로 사용자 의도를 파악하는 단계; 및 상기 최적 경로 중 하나로 상기 사용자 의도에 대응되는 패스를 결정하는 단계를 포함할 수 있다.