信息碎片化下用户痛点多源信息融合分析研究  

Research on User Pain Point Analysis and Product Decision under Information Fragmentation Based on Multi-source Information Fusion

作　　者：孟凡会[1] 王玉亮[1] 汪雷[2] Meng Fanhui

机构地区：[1]滁州学院,安徽滁州239012 [2]安徽财经大学,安徽蚌埠233041

出　　处：《情报理论与实践》2020年第7期103-108,共6页Information Studies:Theory & Application

摘　　要：[目的/意义]信息破碎化背景下,用户痛点信息的检索和提取依靠人工统计的方法已经不能满足多源信息发展的挑战。用户痛点的有效提取和动态掌握是企业产品优化升级,重构产品结构,满足市场期望重要决策的依据。[方法/过程]利用深度学习算法LSTM(Long Short-Term Memory)和多源数据融合理论,建立用户痛点信息的采集、识别、界定、筛选、整合、分类和分析等信息处理过程,构建用户痛点核心词库和指标词库,建立用户痛点跟踪和评价策略,完善系统反馈机制,形成循环开放的用户痛点动态提取和产品决策体系。[结果/结论]从情报学角度,利用多源信息融合理论和深度学习算法,建立了在信息破碎化背景下,对多源用户痛点信息的有效提取、知识化学习、过程化分析,智能化决策和机制化反馈,从而提升了用户痛点动态提取、分析和产品决策的精度和效率。[Purpose/significance]Under the background of information fragmentation,the retrieval and extraction of user pain points information relying on manual statistics cannot meet the challenge of multi-source information development.Effective extraction and dynamic mastery of pain points are the basis for enterprises to optimize and upgrade products,reconstruct product structure and meet market expectations.[Method/process]Deep learning algorithm LSTM(Long short-term Memory)and multi-source data fusion theory are used to establish information processing processes such as user pain point information collection,recognition,definition,screening,integration,classification,and analysis,we build user pain point score thesaurus and index word library,according to the enterprise product positioning,choose suitable product decision method,build products of effective decision scheme,and establish the user pain points s tracking and evaluation strategy,perfect the system of feedback mechanism,form open-loop user pain points dynamic extraction system.[Result/conclusion]From the information science point of view,we using the theory of multi-source information fusion and deep learning algorithms,set up under the background of information fragmentation,effective extraction of multi-source users pain points information,knowledge learning,process analysis,intelligent decision and feedback mechanism,so as to enhance the users pain points dynamic extraction,analysis,and the accuracy and efficiency of product decisions.

关 键 词：信息破碎化 用户痛点 多源信息融合 深度学习 产品决策 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] F273.2[自动化与计算机技术—控制科学与工程]