SYSTEM AND METHOD FOR RECOMMENDING CONTENTS BASED ON DEEP NEURAL NETWORK

The present invention relates to a system for recommending content based on a deep neural network and a method thereof. The present invention relates to a system for dividing the learning function and the recommendation function between a server and a client terminal, respectively, generates selecti...

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Bibliographische Detailangaben
Hauptverfasser:	LEE KWANGKEE, AN HYEONWOO, KIM DAE YEOL
Format:	Patent
Sprache:	eng ; kor
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY PHYSICS PICTORIAL COMMUNICATION, e.g. TELEVISION
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Beschreibung
Zusammenfassung:	The present invention relates to a system for recommending content based on a deep neural network and a method thereof. The present invention relates to a system for dividing the learning function and the recommendation function between a server and a client terminal, respectively, generates selection data for content and a user according to the characteristics of the content and the preference of the user for the content, respectively, and utilizing each generated selection data to provide a personalized content recommendation service that takes into account both the content and the characteristics of the user, and a method thereof. The system includes a selection data generation part; a content characteristic extraction part; and a user preference estimation part. 본 발명은 심층신경망 기반 콘텐츠 추천 시스템 및 그 방법에 관한 것으로, 학습기능과 추천기능을 서버와 클라이언트 단말이 각각 분담하고, 콘텐츠가 가지는 특성과 상기 콘텐츠에 대한 사용자의 선호 특성에 따라 상기 콘텐츠와 사용자의 선별데이터를 각각 생성하고, 상기 생성한 각 선별데이터를 활용하여 콘텐츠와 사용자의 특성을 모두 고려한 개인화된 콘텐츠 추천 서비스를 제공하는 시스템 및 그 방법에 관한 것이다.