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Automatic Discovery and Recommendation for Telecommunication Package Using Particle Swarm Optimization

Conference paper
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Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 419)

Abstract

Telecommunication package is a product produced by telecom operator to satisfy different consumer groups. Telecom operator should not only consider the users’ acceptability, but also enable to maximize profits. However, how to balance the relationship of both and designing a package are very important tasks and complicated problems. At present, design of telecom package is affected greatly by designer’s subjective experience which is blind. In this paper, a new idea of automatic discovery and recommendation for telecom package is proposed. This idea is combined user’s acceptance with operator’s profit. The package model and customer model are set up based on consumption of customers. Particle swarm optimization is used for discovering an inverse package. Meanwhile, the potential customers of the targets are selected by calculating proportion of package attribute usage. Experimental results show that the proposed method has favorable performance.

Keywords

Telecom packages Particle swarm optimization algorithm Automatic discovery Recommendation 

Notes

Acknowledgments

This work was supported by National Natural Science Foundation of China under Grant No. 61573166, No. 61572230, No. 61373054, No. 61472164, No. 81301298, No.61302128. Shandong Provincial Natural Science Foundation, China, under Grant ZR2015JL025. National Key Technology Research and Development Program of the Ministry of Science and Technology under Grant 2012BAF12B07-3. Jinan Youth Science & Technology Star Project under Grant No. 2013012.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Shandong Provincial Key Laboratory of Network Based Intelligent ComputingUniversity of JinanJinanChina
  2. 2.Machine Intelligence Research Labs (MIR Labs)Scientific Network for Innovation and Research ExcellenceAuburnUSA

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