基于读者行为的手机图书馆文献推送系统构建探讨

Construction of Literature Pushing System for Mobile Library Based on Reader Behavior

在手机图书馆的使用过程中,读者对文献的操作行为在一定程度上反映出其对文献的需求。以此为研究的出发点,首先通过文献标题和关键词层次的比较,在读者已下载操作的文献中,选择词频最高的标题和关键词作为检索词,在读者浏览操作的文献中,选择词频最低的标题和关键词作为排除词,通过手机图书馆的数据库检索文献。之后选择读者已下载且打开次数最多的文献作为目标文献,将检索返回的文献与目标文献进行知识元组织层面的比较,过滤掉差异较大的文献。以上各步骤可以人为进行调整,以使文献推送更加个性化且具有实用性。

The behavior of readers while utilizing mobile library can reflect their requirements of literature. Based on this point of view,this article selects the most-cited title and keywords as retrieval term among the literature that the readers have already downloaded. It selects the lowest-cited title and keywords as excluded terms among the literature that the reader have browsed. Based on above selection, this paper compares the literature that has both been downloaded and been browsed most frequently in the library database with the target literature to excluded and adjust certain literature, which can help improving the utilization of mobile library.