User event relevance calculation method based on content environment enhancement

The invention discloses a user event relevance calculation method based on content environment enhancement. The method comprises the following steps: lowering the dimensions of archives of a user and social events by using a topic model, and converting the archives into topic distribution; calculating user preference features of the user archives and the social event archives; extracting online and offline social influence features based on a collaborative filtering method by taking the user preference features as probabilities of the fact that the user participates in corresponding events; acquiring local interested topic distribution according to events in a city where the user is located, and comparing the local interested topic distribution with the events to obtain local popularity features; acquiring user event relevance through a training study sequencing model. According to the method, content environment relevant information in an event social network is fully mined to extract the features of user preferences, social influences and local popularity for calculation, and a plurality of features are combined, so that the accuracy of a final result is increased, and the technical problem concerned with recommendation specific to the type of novel objects such as social events in a personalized recommending system is solved.