Social network user recommendation method based on extraction of user interest and social topic

The invention discloses a social network user recommendation method based on the extraction of the user interest and the social topic. The method comprises the following steps: obtaining the ''follower-followee'' relationship and the ''mutual-following'' relationship information of a user in a social network; extracting the social topic and the interest topic of the user; on the basis of the topics, independently forming the social community and the interest community of the user; and independently tidying each community into a matrix form, using a matrix decomposition method to decompose each community matrix to calculate the intention following score of each user on each community matrix, taking the maximum value of the intention following scores of each user on all communities as a final intention following score, sorting the final intention following score between a target user and other users for the target user, and finally selecting the TOP-N users with the highest score as recommended following users.