Computer Science ›› 2020, Vol. 47 ›› Issue (11A): 482-485.doi: 10.11896/jsjkx.200400028

• Big Data & Data Science • Previous Articles     Next Articles

Bipartite Network Recommendation Algorithm Based on Semantic Model

ZHOU Bo   

  1. Institute of Science and Development,Chinese Academy of Sciences,Beijing 100190,China
  • Online:2020-11-15 Published:2020-11-17
  • About author:ZHOU Bo,born in 1991,master.His main research interests include data mining,and intelligence analysis.

Abstract: The current research of bipartite network recommendation algorithm does not consider the semantic relationship,so this paper proposes an improved bipartite network recommendation algorithm.Author topic model (AT model) is used to embed the semantic information into a two dimensions semantic space.Then the semantic similarity between the recommended objects is calculated and integrated into the similarity calculation of bipartite network recommendation algorithm.The algorithm is verified by the recommendation of the new energy vehicle patentee.Experimental results show that the new algorithm has higher accuracy and recall rate than the bipartite network recommendation algorithm,the accuracy rate is increased by 2.29%,the recall rate is increased by 4.15%.

Key words: Semantic model, Author topic model, Bipartite network, Recommendation algorithm

CLC Number: 

  • TP391
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