Academic New Media Service Method Based on Knowledge Graph

[Purpose/Significance] The academic information service is an important basis for the development of current academic research. Traditional academic information services focus on the discovery and mining of information in the process of service provision, while ignoring that their core focus should be on user needs. New media services are communication media and platforms that have been widely used in recent years. They are characterized by ubiquity, customization, and user participation. [Method/Process] In order to further improve the quality of academic information services with new media services, we propose to use interknowledge relationships to map intellectual entities, and then achieve the purpose of customized recommendations based on user preferences and needs. [Results/Conclusions] The experimental results on multiple data sets show that the proposed method is able to more accurately and quickly complete customized recommendations for the academic services provided to the users.