网络环境下高校图书馆智能咨询服务模式研究
Research on the Intelligent Consulting Service Model of University Library in the Network Environment
李小清 1梁宏伟1
作者信息
- 1. 忻州师范学院 图书馆,山西 忻州 034000
- 折叠
摘要
高校图书馆智能发展过程中,依靠简单的数字咨询模式实现咨询,只能提供被动静态服务,使得咨询服务结果的命中率(HR)较低.因此,在网络环境下提出一种新的高校图书馆智能咨询服务模式.抓取大量高校图书馆咨询记录数据后,运用知识图谱概念对其进行体系化处理,建立智能咨询服务领域知识库.根据用户行为数据和咨询记录,主动感知用户咨询需求并将其准确表达出来.以引入注意力机制的卷积神经网络(CNN)为基础,构建一种智慧问答服务体系,对咨询内容进行深度学习从知识库中找到对应的答案.最后,结合用户画像、图书馆资源画像和情境画像,为咨询用户提供个性化智能推送服务.应用分析结果表明:所研究的咨询服务模式给出的咨询服务结果命中率超过了80%,非常好地满足了图书馆智能发展要求.
Abstract
In the process of intelligent development of university libraries,relying on a simple digital consultation model only enables passive static services,resulting in a lower hit rate(HR)of consultation service outcomes.Therefore,a new intelligent consultation service model for university libraries is proposed in the network environment.By aggregating a large amount of consultation records data from university libraries and utilizing the concepts of knowledge graph,a systematic treatment is applied to establish a knowledge base in the field of intelligent consultation services.Based on user behavior data and consultation records,the user's consultation needs are pro-actively sensed and accurately expressed.A smart question-answering service system is built on the foundation of Convolutional Neural Network(CNN)with attention mechanisms,to deeply learn and find corresponding answers from the knowledge base.Finally,by combi-ning user profile,library resource profile,and contextual profile,personalized intelligent push services are provided to consulting users.Application analysis results demonstrate that the researched consultation service model achieves a hit rate of over80%,effectively meet-ing the requirements of intelligent development in university libraries.
关键词
网络环境/图书馆/智能咨询/知识库/用户需求/深度学习Key words
network environmen/library/intelligent consultation/knowledge base/user requirements/deep learning引用本文复制引用
出版年
2024
NETL
NSTL
万方数据