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基于AI算法和DPI解析的多场景协同推荐能力研究

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在5G+AICDE的移动互联网时代,新型技术在运营商的业务运营中,扮演着重要角色.传统的业务运营,主要面临的痛点在于客户洞察精准性不足,无法准确洞察营销产品的 目标客群,比如客户内容偏好识别能力较弱、客户洞察能力不足、营销转化率不足等方面.针对这些问题或不足,文章对基于AI算法和DPI解析的多场景协同推荐能力展开研究,通过不同场景进行验证,精准筛选客户群和触发时机,实现实时"场景+客户+产品"组合精准定位与触达.
Research on multi-scene collaborative recommendation ability based on AI algorithm and DPI analysis
In the mobile Internet era of 5G+AICDE,new technologies play an important role in operators business operations.Traditional business operations,the main pain points are the lack of customer insight accuracy,can not accurately insight the target customer group of marketing products,such as customer content preference identification ability is weak,customer insight a-bility is insufficient,marketing conversion rate is insufficient.In response to these problems or deficiencies,this paper studies the multi-scene collaborative recommendation ability based on AI algorithm and DPI analysis,verifies different scenarios,accurately screens customer groups and trigger timing,and achieves accurate positioning and reach of real-time"scene+customer+product"combination.

Artificial intelligence(AI)algorithmsDeep packet inspectionScene coordinationRecommendation abilityClustering algorithm

胡娟

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中国移动通信集团湖北有限公司,湖北武汉 430020

人工智能(AI)算法 深度数据包检测 场景协同 推荐能力 聚类算法

2024

长江信息通信
湖北通信服务公司

长江信息通信

影响因子:0.338
ISSN:2096-9759
年,卷(期):2024.37(3)
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