30 results about "Cold start recommendation" patented technology

The invention discloses an information-enhanced meta-learning method for relieving a recommended user cold start problem. The method comprises the following steps: constructing a user-article bipartite graph according to a comment relationship of user articles; using the user neighborhood information and the article description text as the source of node information, performing random sampling on the constructed bipartite graph, and constructing meta-learning tasks, wherein each task represents a new user to carry out cold start recommendation to simulate a scene for realizing recommendation for the new user; using a bert method to perform feature extraction work of text data for each meta-learning task to obtain preference information; and using the global parameters of the preference information guide element for generating local parameters of an embedded generation function of each user, inputting element learning tasks into a recommendation model to obtain predicted scores of the users on articles, updating element learning parameters, and directly applying the trained parameters to untrained new users. According to the method, the problem that preference recommendation inaccuracy cannot be evaluated due to less new user interaction is relieved.