스카이라인 질의는 최근에 여러 응용서비스들에 적용되고 있다. 특히 다중 속성을 갖는 제품들 중에서 소비자를 위한 추천서비스에서 이를 적용한 사례가 많다. 이러한 스카이라인 질의에 대한 대부분의 연구는 그 질의의 결과인 스카이라인을 구하기 위한 효율적인 방법에 모두 집중되어 있다. 그러나 소비자가 아닌 생산자의 입장에서 보면, 제품을 생산하는 기업은 자사의 제품이 그 추천서비스의 결과인 스카이라인에 포함되기 위한 최적의 방법을 원한다. 그래서 본 논문은 스카이라인에 포함되지 않는 특정 객체가 최소 비용으로 스카이라인에 포함되는 최소 벡터를 찾는 스카이라인 최소벡터기법 기법을 제안한다. 제안된 기법은 기업의 의사결정과 같은 다양한 분야에서 매우 유용한 서비스가 될 것이다. 성능평가는 가상 데이터를 기반으로 다양한 조건들에서 진행하였다.
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