Mobile Recommendation Based on Link Community Detection

Mobile Recommendation Based on Link Community Detection

Blog Article

Since traditional mobile recommendation systems have difficulty in acquiring complete and accurate user information in mobile networks, the Mens Western boots accuracy of recommendation is not high.In order to solve this problem, this paper proposes a novel mobile recommendation algorithm based on link community detection (MRLD).MRLD executes link label diffusion algorithm and maximal extended modularity (EQ) of greedy BIOTIN 5000 MCG search to obtain the link community structure, and overlapping nodes belonging analysis (ONBA) is adopted to adjust the overlapping nodes in order to get the more accurate community structure.MRLD is tested on both synthetic and real-world networks, and the experimental results show that our approach is valid and feasible.