Research on Personalized Recommendation System for Graph Database
Yanjie Liang · Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018) · 2018
In the rapid development of the Internet, the abuse of Over Loading has become increasingly prominent in the production and life.Facing these challenges, recommender systems emerge as the times require.This paper first introduces the classic collaborative filtering recommendation algorithm and introduces a popular evaluation function to design a personalized recommendation algorithm based on graph database Neo4j and compares it with traditional relational database.