Make-Up FLOW: A Beauty YouTubers’ Video Recommendation Method Based on Make-Up Flowcharts

Due to the vast number of makeup videos online, finding a suitable one is challenging. To develop a makeup video recommendation service, we must establish a method for calculating the similarities between the makeup process. This paper proposes a Make-up FLOW system, which represents makeup procedures using a flowchart style structure. We evaluated its effectiveness in recommending videos from 103 tutorial videos based on process similarities. The findings showed a weak correlation using the Levenshtein distance in the first half of the process, suggesting that the process similarity may help recommend multiple information and sort search results.