摘要
新书推荐是数字图书馆推广个性化服务的重要内容。为设计开发高效、准确的推荐系统,研究人员采用多种智能算法实现图书推荐。基于遗传算法的新书推荐方法(GANBook)利用遗传算法搜索效率高、自适应性强等优点对新书书目进行自动搜索,从而实现个性化图书推荐。仿真实验表明GANBook算法能够快速、准确地在数量庞大的书目中找出适合特定读者的最佳图书推荐组合,从而实现快速、个性化的新书推荐服务。
New book recommendation is an important content for promoting the individualized service of digital library. In order to design an effective book recommendation system, researchers apply a variety of intelligent algorithms to realize the system. Develops a new recommend method called Genetic Algorithm based new book recommendation （GANBook）. In the GANBook algorithm, by using the high efficiency and strong adaptability of genetic algorithm to realize the personalized books recommend. Computer simulation shows that the proposed approach can find the best book recommend combination for the specific readers in a huge number of books quickly and accurately, so as to realize the fast, personalized book recommendation service.
出处
《现代计算机》
2012年第14期14-17,55,共5页
Modern Computer
关键词
数字图书馆
个性化推荐
遗传算法
读者兴趣度
Digital Library
Personalized Recommendation
Genetic Algorithm
Reader＇s Interest
