최근 스마트 폰은 사용의 편리성과 용도의 다양성 때문에 크게 확산 되고 있다. 또 스마트폰의 기능과 용도를 확장 시켜주기 위한 어플리케이션 역시 매일 수십 개씩 쏟아져 나오고 있다. 이미 나와 있는 수 만개의 어플리케이션과, 매일 업데이트 되는 어플리케이션들 사이에서 선호 어플리케이션을 찾기는 쉽지 않은 일이다. 이에 본 연구에선 협력 필터링 기반의 사용자 맞춤형 모바일 어플리케이션 추천시스템을 설계 및 제안한다. 사용자가 선호하는 어플리케이션을 추천 받을 수 있도록 함으로써 사용자에게 선호 정보를 보여 줄 수 있을 뿐만 아니라, 어플리케이션의 구매를 유도하여 새로운 가치 창출과 양방향성 마켓플레이스에 일조 할 수 있을 것이다.
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