基于向量空间模型的科技情报用户画像及场景化服务推送研究

来源:用户上传      作者:王益成 王萍 张禹

　　摘 要：[目的]為了满足情报3.0时代用户对科技情报服务个性化与智能化的要求，采用用户画像方法挖掘科技情报用户情报需求与偏好。[方法]以TAM理论的两个关键因素（感知有用性与易用性）为理论基础，通过挖掘科技情报用户行为日志数据以及问卷调查等方法深入挖掘科技情报用户在不同情境下的科技情报需求偏好以及搜索行为习惯，以专家访谈法为基础，基于VSM理论构建科技情报用户画像模型。[结果]通过协同过滤算法对不同场景的科技情报用户进行服务推送。[结论]运用标签云技术（Tagxedo技术）为处于不同场景的科技情报用户定制有针对性的个性化服务方案是情报3.0时代一种有效的智能化服务途径。
　　关键词：情报3.0;用户画像;场景化推送;个性化服务;向量空间模型;科技情报服务
　　DOI：10.3969/j.issn.1008-0821.2020.02.001
　　〔中图分类号〕G252.0 〔文献标识码〕A 〔文章编号〕1008-0821（2020）02-0003-08
　　Research on User Portrait and Scenario Recommendation of
　　Sci-tech Information Service Based on VSM
　　Wang Yicheng1 Wang Ping1 Zhang Yu2
　　（1.School of Management，Jilin University，Changchun 130022，China;
　　2.Department of Education，Northeast Normal University，Changchun 130024，China）
　　Abstract：[Purpose]In order to meet the requirements of for personalized and intelligent service of scientific and technological information in the period of intelligence 3.0，the user portrait method was adopted to explore the sci-tec users needs and preferences of scientific and technological information.[Method]Based on two key factors of TAM theory perceived usefulness and ease of use，through digging science and technology intelligence，users log data and questionnaire survey.The paper deeply explored the science and technology information users science and technology intelligence demand preference and search behavior in different situation，based on the expert interviews，the paper built science and technology intelligence user portrait model based on VSM theory.[Results]Collaborative Filtering Algorithm was used to recommend services to scientific and technological intelligence users in different scenarios.[Conclusion]Using tag cloud technology（tagxedo technology）to customize targeted personalized service solutions for scientific and technological users in different scenarios was an effective intelligent service channel in the intelligence 3.0 era.
　　Key words：intelligence 3.0;user portrait;scenario recommendation;personalized services;vector space model;sci-tec intelligence services
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