Research on the Construction of Personalized Recommendation Service System for Intelligent Libraries
With the development of Big Data and Artificial Intelligence technologies,libraries are gradually transi-tioning from traditional lending models to intelligent service models.Personalized recommendation service is an im-portant manifestation of intelligent libraries,which is of great significance in improving reader service quality and leading national reading.Taking Qingliu County Library in Fujian Province,researchers conducted an in-depth analysis of the necessity of implementing personalized recommendation services,and proposed specific implementa-tion approaches from the aspects of digital resource construction,expanding digital resource collection channels,de-veloping interactive resource exploration platforms,and deepening reader demand data mining.Research shows that Qingliu County Library has established a personalized recommendation service team consisting of librarians,IT technicians,and reader representatives,continuously optimizing digital resources,innovating recommendation mod-els,and upgrading service systems to provide readers with precise,efficient,and interactive personalized services.
万方数据
维普
