基于用户画像的读者周边好书推荐服务研究  

Research on Recommendation Service of Good Books around Readers Based on User Portrait

作　　者：解娜[1] Xie Na(Yanshan University Library,Qinhuangdao Hebei 066004)

机构地区：[1]燕山大学图书馆,河北秦皇岛066004

出　　处：《情报探索》2020年第8期104-108,共5页Information Research

基　　金：2019年度秦皇岛市科学技术研究与发展计划“‘双一流’大学建设背景下高校图书馆知识产权信息服务体系路径探索”(项目编号:201902A270)研究成果之一。

摘　　要：[目的/意义]将用户画像应用于图书馆领域,以助于促进智慧图书馆成熟。[方法/过程]在馆内定位系统数据的基础上,对读者的用户画像进行数据维度设计、建立读者行为标签体系、确定标签优先级别及推荐算法,根据读者偏好将周边好书推荐给读者,为读者提供全新的图书资源搜索服务方式。[结果/结论]在构建模型过程中,要注意馆内定位系统的准确性、实时数据层的更新与模型算法层的优化、图书馆人的初心与读者隐私安全等关键问题。[Purpose/significance]The paper tries to apply user portrait to library field in order to promote the maturity of intelligent library.[Method/process]Based on the data of the library’s location system the paper designs the data dimension of the user portrait establishes the reader behavior label system determines the priority of the label and the recommendation algorithm and recommends the good books around readers according to the readers’preferences.This system provides a new way to search the book resources for readers.[Result/conclusion]In the process of building the model it should pay attention to some key aspects including the accuracy of the library location system the update of the real-time data layer the optimization of the model algorithm layer the initial intention of the librarians and the security of the reader privacy.

关 键 词：图书馆 好书推荐 用户画像 定位系统 

分 类 号：G252[文化科学—图书馆学]