A fast way for finding similar friends in social networks by using neuro-fuzzy networks
Sheng-Min Chiu, Yi‐Chung Chen, Tien-Yen Chang, Yu‐Liang Hsu, Heng-Yi Su, Hsi‐Min Chen, Tzu‐Yu Lin · 2016
The key function of recommendation systems is to analyze social network data and identify similar users. In recent years, multi-criteria algorithms called skyline queries have been used in conjunction with neural networks to search for similar users. However, many skyline query methods are slow and cumbersome, and generate user groups that are not similar enough to the target user. To solve these problems, we built an approximate skyline region using a neuro-fuzzy network. Simulation results demonstrated the effectiveness and efficiency of our approach.