一种基于人工智能的展馆智能导购方法及系统

By using an AI-based intelligent shopping guide method for exhibition halls, and leveraging user clustering analysis and interest tag mining to generate general and personalized tag sets, the problem of inaccurate product matching in exhibition hall shopping guides is solved, thus improving the user experience.

CN115953167BActive Publication Date: 2026-07-17CHENGDU WEIJIA SOFTWARE CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHENGDU WEIJIA SOFTWARE CO LTD
Filing Date
2022-12-23
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

The existing exhibition hall's shopping guide methods are not intelligent enough, and the exhibit matching process is not rigorous enough, resulting in low user satisfaction and a poor experience.

Method used

By acquiring basic user information and performing cluster analysis, we construct rules for mining interest tags, generate general and personalized interest tag sets, match and sequence exhibits, and send them to a visual interface for intelligent shopping guide management.

Benefits of technology

This achieved a high degree of compatibility between users and exhibits, enhanced the user experience, and met the diverse and personalized needs of users.

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Abstract

本发明提供了一种基于人工智能的展馆智能导购方法及系统,涉及智慧展馆技术领域,基于用户基本信息获取用户聚类结果,构建兴趣标签挖掘规则,通过进行大数据挖掘生成通用兴趣标签集,基于兴趣标签挖掘规则对用户个体行为进行大数据挖掘生成个性化兴趣标签集,基于兴趣标签集进行展品匹配生成匹配兴趣展品集合,对其序列化调整并发送至预设用户的可视化界面进行展品选择,实现智能导购管理,解决现有技术中进行展馆导购时由于导购方法不够智能化,对于展品的匹配流程不够严谨,无法保障用户对于展品的满意度,使得用户的体验感较差的技术问题,通过优化展品匹配方法,实现用户高契合度的智能化展品导购,提升用户体验感。
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