基于室内定位技术的图书馆推荐算法  

Indoor positioning technique-based library recommendation algorithm

作　　者：马元元[1] 蒋子规 刘艳飞[1] 郝海涛 MA Yuan-yuan;JIANG Zi-gui;LIU Yan-fei;HAO Hai-tao(School of Information Engineering,Zhongshan Polytechnic Institute,Zhongshan 528404,China;Institute of Network Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China;Zhongshan Radio&TV University,Zhongshan 528403,China)

机构地区：[1]中山职业技术学院信息工程学院,广东中山528404 [2]北京邮电大学网络技术研究所,北京100876 [3]中山市广播电视大学,广东中山528403

出　　处：《兰州理工大学学报》2018年第2期102-106,共5页Journal of Lanzhou University of Technology

基　　金：国家自然科学基金(61571066)

摘　　要：为解决图书馆推荐系统存在的数据稀疏性问题,帮助读者选择感兴趣的图书,提出基于室内定位的图书馆推荐算法.该算法使用室内定位技术,以书架为定位单元,根据读者在图书馆的活动轨迹,获得读者兴趣偏好,将偏好信息引入基于用户的协同过滤算法,发现兴趣相似读者,进行推荐.实验结果表明,此算法能有效解决图书馆推荐系统中数据稀疏性问题,为读者提供位置相关的个性化图书推荐.In order to solve the problem of data sparsity in library recommendation system and assist readers to choose books that they are interested in,a library recommendation algorithm this article is presented in based on indoor positioning.In this algorithm,the indoor positioning technique is adopted,the bookshelves selected by the readers are taken as positioning units to track the moving loci of the readers in the library and obtain their interest and preference.Then this information is introduced into user-based collaborative filtering algorithm to discover the readers with similar interest and preference and then recommend the books to them.The experimental result shows that this algorithm can resolve the problem of data sparsity in library recommendation system,providing the position-related personalized book recommendation to the readers.

关 键 词：室内定位 基于用户的协同过滤 推荐系统 图书馆 书架 

分 类 号：TN911.34[电子电信—通信与信息系统]