<p>Social media is an online media platform based on interests and creative content formed by a group of Internet users. Internet celebrities are people who become famous on the Internet, increasing their popularity by their social networking or video websites. Social commerce (s-ecommerce) is the combination of social relations and commercial transaction activities. The combination of social media and Internet celebrities is an emerging model for the development of s-ecommerce. With recent advances in multimedia technologies, recommendation systems are gradually moving to develop intentional and behavioral recommendations. Behavioral recommendation is an extension of peer-to-peer recommendation, where merchants find the people who want to buy the product and deliver it. Intentional recommendation is a mindset that seeks to understand the life of consumers; by continuously collecting information about their actions on the internet and displaying events and information that match the life and purchase preferences of consumers. This study considers that signal targeting is a method by which social media operators and internet celebrities’ platforms can understand consumers’ media tools preferences and individual lifestyles so that operators can effectively recommend social commerce to the consumers. Thus, this study first implements a two-stage data mining analytics, including clustering analysis and association rules, to investigate Taiwan users (<i>n</i> = 2,102) to investigate social media, and Internet celebrities’ preferences to find knowledge profiles/patterns/rules for s-ecommerce intentional and behavioral recommendations.</p>