An Algorithm Based on Two-Layer Graph Model for E-Commerce Recommendation
Li Pan, Xiaosha Xu, Zhimeng Tan, Xin Peng · 2016
Recommender systems have been applied by E-commerce or other application sites to recommend their produces that customers might be interested in. This paper refines a bipartite graph to a two-layer graph model by adding the similarity information between consumers and products, the related metric is presented to measure the relationship among them, and the shortest path algorithm is introduced to obtain suitable recommendations.