摘要
[目的/意义]读者需求发掘一直是信息处理领域的研究热点之一,但存在着信息来源单一、发掘深度不足等问题。[方法/过程]提出基于网络爬虫技术和高校读者需求的馆藏资源自动推荐模型,给出该模型的组成结构、功能模块以及处理流程,并利用网络爬虫技术自动采集读者信息。[结果/结论]该模型具有较高的读者需求覆盖度和精确度,有一定的实用价值。
[Purpose/significance] Mining reader’s demand has been one of research hotspots in field of information processing,but it exists problems of single information source and insufficient depth. [Method/process] The paper presents an automatic recommendation model of library resource basing on technology of web crawler and university reader’s demand, gives composition structure,function module and processing flow of the model, and uses web crawler technology to automatically collect reader’s information.[Result/conclusion] The model has higher level of coverage and accuracy of reader’s demand, and has some practical value.
出处
《情报探索》
2016年第2期25-29,共5页
Information Research
关键词
信息处理
读者需求
信息发掘
网络爬虫
information processing
reader’s demand
information mining
web crawler
