Personalized recommendation helps carrier’s digital marketing

Chunyu MA; Junlin WANG; Baowang WANG; Bohua GAN

doi:10.11959/j.issn.1000-0801.2018033

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Personalized recommendation helps carrier’s digital marketing

Operator big data column | 更新时间：2024-06-05

- Personalized recommendation helps carrier’s digital marketing
- Telecommunications Science Vol. 34, Issue 1, Pages: 174-180(2018)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2018033
  CLC： TN929.5
- Published Online：2018-01，
  
  Published：20 January 2018
- 稿件说明：
移动端阅览
Chunyu MA, Junlin WANG, Baowang WANG, et al. Personalized recommendation helps carrier’s digital marketing[J]. Telecommunications science, 2018, 34(1): 174-180.
DOI：

Chunyu MA, Junlin WANG, Baowang WANG, et al. Personalized recommendation helps carrier’s digital marketing[J]. Telecommunications science, 2018, 34(1): 174-180. DOI： 10.11959/j.issn.1000-0801.2018033.

摘要

简要分析电信运营商数字化营销的挑战与诉求，吸取互联网思维优势，提出个性化推荐助力运营商数字化营销，并介绍运营商个性化推荐的发展历程。描述基于运营商产品、用户行为数据以及大数据平台计算能力，探索运营商个性化推荐营销实现原理和实现流程。最后，讲述了个性化推荐在数字化营销中实现的场景，并对运营商个性化推荐的价值和未来进行展望。

Abstract

The challenge and demands of telecom operator’ digital marketing were briefly analyzed

the advantages of internet thought were also drawled and then the personalized recommendations were proposed to help telecom operator’s digital marketing

and the history of carrier’s personalized recommendation was introduced.Then the principle and implementation process of telecom operator’s personalized recommendation which bases on carrier merchandise

user behavior data and the computing ability of big data platform was described.Finally

the implementation scenario of personalized recommendation in telecom operator digital content business was described

and the value and future of personalized recommendation have prospected.

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references

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