基于人工智能的图书订购策略分析  

Analysis of Book-Ordering Strategy based on Artificial Intelligence

作　　者：卞丽琴[1] 陈峰[2] 

机构地区：[1]南通大学图书馆 [2]南通大学电气工程学院

出　　处：《图书馆杂志》2015年第8期39-43,56,共6页Library Journal

摘　　要：随着对图书馆评估关注度的上升,采用有效途径实现图书采购变得越来越重要,而传统图书订购过程多依赖于图书馆订购者"经验"式决定,本文利用人工智能方法,建立基于荐购图书信息、读者喜好和价格等多种综合信息下的图书订购决策模型,实现图书订购件的客观确立,避免个人因素的干扰。仿真结果显示该模型的有效性,并提出进一步改善模型方法。With a growing interest in evaluating the effectiveness of libraries, libraries fi nd it increasingly important to evaluate the acquisitions process in an effi cient way.The traditional book-ordering process depends mainly on the library staff＇s experience. This paper presents a decision-making model for book acquisition using artifi cial intelligence and based on book-recommending information, reader preference and price. It will be conducive to objective acquisition and restrict subjective interference. The simulation result shows that the model is effective. And this paper proposes also the methods for improvement on decision-making model.

关 键 词：图书订购 人工智能 神经网络 图书信息描述 网络训练 

分 类 号：G250.7[文化科学—图书馆学] G253