Research on User Model Construction for Individualized Knowledge Recommendation

Individualized knowledge recommendation service has been widely applied and generalized in the big data environment, of which the foundation and core lies in the construction of user model. In this context, this paper emphatically studies the vector space model (VSM) representation-based user model construction by sorting out the concept and method of user model. The modeling process is also analyzed in detail from such aspects as user data classification, user characteristics model representation and similarity calculation, to conclude a user modeling-based individualized knowledge recommendation process with digital library as an example.