基于书目检索信息的图书荐购系统  

Books Purchasing Recommendation System Based on Readers' Retrieval Information from Catalogue

作　　者：刘佳佳[1] 

机构地区：[1]淮阴师范学院图书馆,淮安223300

出　　处：《图书情报工作》2012年第15期82-87,共6页Library and Information Service

摘　　要：认为随着网络技术在图书馆建设中的应用,书目信息检索成为读者与图书馆沟通的重要途径。对这些数据进行收集、统计、分析、整理,有助于了解读者最真实的需求。基于书目检索信息,提出荐购系统原理,并设计荐购系统,一方面可以弥补建立在主动推荐基础上的传统荐购系统存在的不足,另一方面可以实践并深化图书馆"以读者为中心"的服务理念。As the application of network technology in the library construction, catalogue retrieval becomes an important way of the communication between readers and the library. The collection, analysis and reorganization on these retrieval data will be able to get the real need of readers eventually. Based on readers＇ retrieval information, the author puts forward the principle of purchasing recommen- dation system, and designs the purchasing recommendation system. On the one hand, this system could improve the insufficiency of the traditional purchasing recommendation system based on active recommendation. On the other hand it could also deepen the library＇ s ＂reader first＂ service idea and put it into practice.

关 键 词：图书馆 荐购 书目 检索信息 

分 类 号：TP311.52[自动化与计算机技术—计算机软件与理论] G252.7[自动化与计算机技术—计算机科学与技术]