A Personalized Collaborative Filtering Recommendation System of Network Document Resource Based on Knowledge Graph

Abstract

The Internet has become one of the important channels for users to obtain information and knowledge. It is crucial that how to acquire personalized requirement of users accurately and effectively from huge amount of network document resource. This paper proposes a personalized collaborative filtering recommendation system for network document resource exploration using knowledge graph which can solve the problem of information overload and resource trek effectively. Extensive system test has been carried out in the field of big data application in packaging industry. The experimental results show that the proposed system recommends network document resource more accurately, and further improves recommendation quality using knowledge graph. Therefore, it can meet people’s personalized resource need more effectively.