当前位置>主页 > 期刊在线 > 计算机技术 >

计算机技术2020年10期

面向公众号的个性化内容推荐系统设计与实现
覃召敬
(国海证券股份有限公司,广西 南宁 530028)

摘  要:公众号是企业数字化营销的重要手段。目前各企业通过运营微信公众号来宣传企业、营销产品。个性化内容推送,能提高公众号的传播力、引流能力,增加粉丝黏度、活跃度。系统由采集层、存储层、计算层、业务层构成。采集层用Flume 等采集用户公众号上的行为数据,存储层用Easticsearch、Hive、Kafka 存储数据、计算层用Spark 计算用户偏好标签,业务层根据用户偏好标签进行个性化内容推送。


关键词:个性化推荐;精准推送;大数据;客户画像;客户标签;个性化运营;数字营销;精准营销



中图分类号:TP302.1         文献标识码:A         文章编号:2096-4706(2020)10-0078-03


Design and Implementation of Personalized Content Recommendation System for Official Account

QIN Zhaojing

(Sealand Securities Co.,Ltd.,Nanning 530028,China)

Abstract:Public account is an important means of enterprise digital marketing. At present,enterprises through the operation of WeChat public number to promote enterprises,marketing products. Personalized content push can improve the communication power and drainage ability of public accounts,and increase the viscosity and activity of fans. The system consists of acquisition layer,storage layer,computing layer and business layer. Flume and other devices are used in the acquisition layer to collect behavioral data on users’public accounts,Easticsearch,Hive and Kafka are used in the storage layer to store data,Spark is used in the computing layer tocalculate user preference labels,and personalized content is pushed by the business layer according to user preference labels.

Keywords:personalized recommendation;precise push;big data;customer portrait;customer label;personalized operation;digital marketing;precision marketing


参考文献:

[1] 周志华. 机器学习 [M]. 北京:清华大学出版社,2016.

[2] GEORGE L. HBase:The Definitive Guide [M].Sebastopol:O’Reilly Media Inc.,2011.

[3] GORMLEY C,TONG Z. Elasticsearch:The DefinitiveGuide [M].Sebastopol:O’Reilly Media Inc.,2015.

[4] CHAMBERS B,ZAHARIA M. Spark:The Definitive Guide [M].Sebastopol:O’Reilly Media Inc.,2018.

[5] AGGARWAL C C. Recommender Systems——The Textbook [M].Cham:Springer International Publishing,2016.

[6] 李航. 统计学习方法 [M]. 北京:清华大学出版社,2012. [7] 项亮. 推荐系统实践 [M]. 北京:人民邮电出版社,2012.

[8] 刘希宋,喻登科,李玥. 基于知识的智能营销系统构建 [J].现代图书情报技术,2008,24(5):56-60.

[9] 许伟,梁循,杨小平. 金融数据挖掘 [M]. 北京:知识产权出版社,2013.


作者简介:覃召敬(1988—),男,汉族,广西贵港人,高级工程师(副高),本科,南宁市高层次人才,曾负责北京时趣互动大数据数字营销平台、个性化内容推荐平台建设,主要研究方向:大数据、人工智能、云计算等在智慧城市、数字营销、数字金融等行业的应用。