Analysis of Personalized Recommendation Models Based on Multi-dimensional Ontology

摘要

In order to solve the problem of information recommendation from single dimension, a personalized recommendation model based on multi-dimensionalontology is proposed in this paper. The necessity of multi-dimensionalontology is analyzed firstly.A multi-dimensionalontology, including domain ontology, time ontology and user ontology, etc., is then established using the examples of IT forefront knowledge. Based on this new ontology, recommendation of resources from multiple dimensions, i.e.,thesemantic, time, and comprehensive dimensions, is analyzed.Finally the personalized multi-dimensional recommendation model is presented.