Recommendation algorithm based on information security professional social network platform

The invention relates to a recommendation algorithm based on an information security professional social network platform. The recommendation algorithm mainly comprises the following steps: (1) collecting user preferences, namely discovering laws from user behaviors and preferences, recommending based on the laws, wherein the process of collecting user preference information is the decisive factor of a system recommendation effect basis and a user provides the preference information for a system in various ways; (2) analyzing content characteristics, namely after analyzing the user behaviors to obtain the user preferences, calculating similar users and articles according to the user preferences, and recommending based on the similar users and articles; and (3) calculating the similarity. The recommendation algorithm has the benefits as follows: a better recommendation mode is created, so that the user can experience that the recommended content in a talent community concerned by the user is more personalized;