An Algorithm for High-Impact Customer Recognition Model Based on Social Network Analysis
Tan Li-l · Mobile Communications · 2014
Based on the characteristics of social network of communication operators, such as a large amount of data, fast production, fast interaction, various data structures and complex analysis, combining the analysis of traditional structured data, a high-impact customer recognition model is proposed. It applies to the package purchasing processes of customers, thus the recommended success rate of high-impact customers increases 4.8% on average and improves 29 times for absolute amount compared to that of random customers within six months.