Information recommendation method based on potential communities

The invention relates to the technical field of information recommendation, in particular to an information recommendation method based on potential communities. The method includes: digging out user interest models from history records of a user via feature discovery technology, discovering the potential communities according to the user interest models and digging out hierarchical relationships between the communities; extracting possible interest collections from objects to be recommended through feature extraction, and fast positioning the communities to be recommended according to the features of the hierarchical relationships between the communities; calculating similarity between the communities to be recommended and the interest collections of the objects to be recommended to determine whether recommendation conditions are satisfied. The information recommendation method based on the potential communities is capable of realizing flexible batch pushing of information, enhancing efficiency greatly compared with traditional point-to-point recommendation technique, and enhancing novelty of information recommendation by integrating collaborative filtering technique.