Social media has become tremendously popular in recent years and generates abundant created and contributed content. Even though social media holds a rich variety of information sources, a user cannot reach them if he/she have no connection to the users who have the information. As social media sites continue to proliferate, and their volumes of content keep growing, users are having more difficulty with knowing and choosing people with whom to become actively involved. To solve this problem, two approaches are constructed as recommendations: the mechanical recommender function, and the personalized recommender function that is based on human intuition and social sense. The personalized recommender function is a voluntary introduction by users and can be achieved by precise introduction of human intuition and social understanding. In this paper, we focused on the relationship of intermediaries, mentees and mentors, and researched the ability of encouraging the intermediary by comparing services and by study through a questionnaire. As a result, the factors to encourage intermediaries on social media are derived from the characteristic of intermediaries. Thus, the authors are to construct a web application that encourages the intermediaries to connect mentees to mentors in order to examine the effect of the intermediary on social media.
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