Decorative Art Pattern Mining and Discovery Based on Group User Intelligence

With the continuous developments of real estates and increasing personalization people, more house owners are willing to search for discover their preferred decorative art patterns via various decoration cases sharing websites or platforms. Through browsing analyzing existing on Web, a new owner can find out his her interested patterns; however, above pattern mining discovery process is often time-consuming boring due big volume Web. Therefore, it becoming challenging task develop time-efficient method based available provided by historical users. Considering this challenge, novel LSH-based similar clustering approach proposed. A set experiments designed validate effectiveness efficiency our proposal.