The recommendation algorithm based on bipartite network is superior to traditional methods on accuracy and diversity, which proves that considering the network topology of recommendation systems could help us to improve recommendation results. However, existing algorithms mainly focus on the overall topology structure and those local characteristics could also play an important role in collaborative recommend processing. Therefore, on account of data characteristics and application requirements of collaborative recommend systems, we proposed a link community partitioning algorithm based on the label propagation and a collaborative recommendation algorithm based on the bipartite community. Then we designed numerical experiments to verify the algorithm validity under benchmark and real database.
Fu et al. REF proposed a community detection method for projected networks based on label propagation and a collaborative filtering algorithm by taking communities into account.
A Collaborative Recommend Algorithm Based on Bipartite Community
The Scientific World Journal
The Scientific World Journal
Medicine Computer Science