电子商务平台中用户查询意图识别与分析方法研究  

Research on the Method of Identifying and Analyzing User's Query Intention in E-commerce Platform

作　　者：郑新[1] ZHENG Xin(School of Information Management, Minnan Institute of Technology, Shishi 362700, China)

机构地区：[1]闽南理工学院信息管理学院,福建石狮362700

出　　处：《西安文理学院学报（自然科学版）》2021年第1期29-33,共5页Journal of Xi’an University(Natural Science Edition)

基　　金：2020年度泉州市第一批科技计划项目(2020C064):“基于大数据处理的协同过滤智能推荐系统的研究与设计”;2019年度福建省中青年教师教育科研项目(JAT190861):“基于区块链技术的供应链管理平台的构建”。

摘　　要：在电子商务平台中为了提高用户查询意图识别与分析效果,提出基于查询意图的分类方法,对URL进行意图分类.从购物车选择、商品特征、商品口碑与品牌刺激特征进行分析,判断用户的意图;对文中所研究的用户意图识别方法进行实验分析,以用户行为和商品特征为例进行说明.结果显示,在高意图的用户购买行为中,行为特征中用户在页面累计活跃度、上个会话是否购买和在该网页持续时间对用户的购买行为具有明显的正向影响.商品特征中特定商品热度越高,用户购买的可能性越高.In E-commerce platform,in order to improve the recognition and analysis effect of users'query intention,a classification method based on query intention is proposed to classify URL intention.From the shopping cart selection,commodity characteristics,word-of-mouth and brand stimulation characteristics,the intention of users is judged.In this paper,the user intention recognition method is analyzed by experiments,and the user behavior and commodity characteristics are taken as examples to illustrate.The results show that in the high intention user purchase behavior,the cumulative activity of the user on the page,whether the last session purchased or not and the duration of the page have a significant positive impact on the purchase behavior of the user.The higher the popularity of specific goods in the commodity characteristics are,the higher the possibility of users to purchase is.

关 键 词：电子商务平台 用户查询意图 用户行为特征 商品特征 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]