基于大模型的客户行为交互影响及其对策分析  

Interaction of Customer Behavior Based on Large Model and its Countermeasures

作　　者：张丽红 ZHANG Lihong(China Mobile Communications Group Yunnan Co.,Ltd.,Kunming 653100,China)

机构地区：[1]中国移动通信集团云南有限公司,云南昆明653100

出　　处：《长江信息通信》2025年第2期227-230,共4页Changjiang Information & Communications

摘　　要：在当前的人工智能(AI)时代,随着深度学习和自然语言处理的进步,大模型展现出了巨大的潜力,基于大模型的客户行为交互对策分析可以帮助企业更好地理解客户行为规律,发现潜在机会和挑战,提升客户满意度和业务绩效。文章将探讨如何利用大模型来理解和影响客户行为,通过分析客户行为,使用大模型来分析客户行为,并制定有效的策略,进而了解客户需求和偏好,提供个性化的服务和产品,提高客户满意度和忠诚度。通过数据收集和处理、特征工程、模型构建、模型训练和测试、策略制定和实施、策略调整和优化这几部分对客户行为交互影响进行对策分析,从而增强大模型信息真实性、时效性和逻辑一致性等方面的可靠性。In the current Artificial Intelligence(AI)era,with the advancement of deep learning and natural language processing,big models show great potential,and the analysis of customer behavioral interactions and countermeasures based on big models can help companies better understand the laws of customer behavior,identify potential opportunities and challenges,and improve customer satisfaction and business performance.In this paper,we will explore how to use big models to understand and influence customer behaviors,by analyzing customer behaviors,using big models to analyze customer behaviors and formulate effective strategies,we can understand customer needs and preferences,and then provide personalized services and products to improve customer satisfaction and loyalty.Countermeasure analysis of customer behavioral interactions and influences is carried out through the parts of data collection and processing,feature engineering,model construction,model training and testing,strategy formulation and implementation,and strategy adjustment and optimization,so as to enhance the reliability of the big model in terms of information authenticity,timeliness and logical consistency.

关 键 词：大模型 客户行为 数据分析 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]