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设计和实现一个基于图书馆OPAC系统中纸质图书流通日志记录的个性化电子图书荐购系统,该系统包含三个子模块:读者荐购模块、个性化电子图书荐购模块、荐购管理与信息推送模块。利用数据挖掘技术和分布式异构技术,将读者专业背景对应的电子图书书目数据发送到OPAC“我的图书馆”中供读者荐购。该系统产生的荐购结果,不但能够应用于电子图书的荐购,而且也能应用于传统纸质图书的荐购和新书推荐服务,具有广泛的应用前景。
Design and implementation of a personalized e-book recommendation system based on log records of paper books in the OPAC system of the library. The system includes three sub-modules: reader recommendation module, personalized e-book recommendation module, recommendation management and information Push the module. Using data mining technology and distributed heterogeneous technology, the e-book bibliographic data corresponding to the reader’s professional background is sent to OPAC “My Library” for readers’ recommendation. The recommender results generated by this system not only can be applied to the recommendation of electronic books, but also can be applied to the recommendation of traditional paper books and new book recommendation service, which has a wide range of application prospects.