The invention relates to a correlation evaluation method for Internet of Things object information searching and sorting. The method comprises the following steps: 1) establishing a user personalizedinterest model based on user historical query information; 2) establishing a quality scoring mechanism of the article based on the historical query information of the user; and 3) constructing a tripartite graph based on the two contents, and obtaining a correlation score through a random walk algorithm. The method has the beneficial effects that the personalized interest model of the user is mainly established, the quality scoring mechanism of the article attributes is established according to the historical query information of the user, and the correlation evaluation model of the candidatearticles is established. After the model is established, a user-article-article attribute tripartite graph is constructed based on the preference weight of the user and the article attribute quality score; correlation scores of the target user and different candidate items are obtained through a random walk propagation algorithm according to the item attribute tripartite graph, and correlation evaluation of the candidate articles is achieved.