本项目的数据集给出了15万左右的用户以及12万左右的商品, 以及对应的经过脱敏处理的用户特征和经过预处理的商品特征，旨在为用户推荐50个其可能购买的商品。 推荐系统架构方案 本项目采用传统的召回＋排序的方案。在召回模块采用deepwalk， node2vec，item ...

GMatch4py is a library dedicated to graph matching. Graph structure are stored in NetworkX graph objects. GMatch4py algorithms were implemented with Cython to enhance performance.

Abstract: In Node2Vec, the global structure of the network is neglected and the stochastic gradient descent (SGD) method is easy to fall into local optimum. Based on this algorithm, an improved link ...

Abstract: Recommender systems are becoming more and more important in our daily lives. However, traditional recommendation methods are challenged by data sparsity and efficiency, as the numbers of ...