医学院校图书馆OPAC图书智能推荐系统分析与设计 |
投稿时间:2015-06-11 点此下载全文 |
引用本文:吕文娟,龚佳剑.医学院校图书馆OPAC图书智能推荐系统分析与设计[J].医学信息学杂志,2015,36(9):69-73 |
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中文摘要:介绍目前各高校OPAC推荐模块,基于医学院校图书馆的特点,结合目前流行的推荐技术,提出利用Hadoop平台的Mahout算法设计图书智能推荐系统。通过将智能推荐系统嵌入OPAC,解决个性化推荐问题,为读者提供主动智能化的个性服务。 |
中文关键词:联机公共目录查询系统 智能推荐 医学院校 Mahout |
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Analysis and Design of the OPAC Book Intelligent Recommendation System for Libraries in Medical Colleges and Universities |
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Abstract:The paper introduces existing OPAC recommendation modules in colleges and universities. Based on characteristics of libraries in medical colleges and universities and in combination with prevailing recommendation technology, it proposes to utilize the algorithm of Mahout of Hadoop Platform to design the library intelligent recommendation system. By embedding the intelligent recommendation system into OPAC, it solves the problem of personalized recommendation and provides readers with active and intelligent personalized services. |
keywords:OPAC Intelligent recommendation Medical college and university Mahout |
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