面向移动数字图书馆的情境敏感型知识推荐研究  

Mobile Digital Library-oriented Context Sensitive Knowledge Recommendation

作　　者：胡慕海[1] 蔡淑琴[2] 谭婷婷[2] 

机构地区：[1]武汉纺织大学管理学院,武汉430074 [2]华中科技大学管理学院,武汉430074

出　　处：《计算机科学》2011年第8期92-95,105,共5页Computer Science

基　　金：国家自然科学基金项目(71071066);国家自然科学基金重点项目(70731001)资助

摘　　要：随着移动通信的发展,数字图书馆的各种知识服务更多地在移动终端上实施,但现有的移动数字图书馆对于用户环境、场景等"情境"的感知能力不足,缺乏为用户提供适应当前情境的个性化知识推荐服务。因此提出基于信息熵度量读者的情境敏感性。基于情境敏感度对读者进行相似性比较,并利用这种比较扩展了协同过滤算法。试验结果表明,该方法为移动数字图书馆具备情境敏感的能力,提高知识推荐的准确性提供了一种新的途径,有利于给读者提供既满足情境又符合其个性化需求的知识资源。With the development of mobile communication,the knowledge service of digital library is implemented on mobile terminals,but the existing digital libraries lack of capacity to aware the context such as reader＇s environment and scenario,so can not offer personalization knowledge recommendation service,which also adapt to the current context and the reader.So a method to measure reader＇s context sensitivity based on entropy was proposed,and the measure was used to compare two different users based on what the collaborative filtering can be improved.The experiment results show that the improved algorithm can offer mobile digital library a new approach to increase the knowledge recommendation accuracy and its context-aware ability,then provide reader personalized knowledge resource which also adapt to his current context.

关 键 词：移动数字图书馆 协同过滤 情境 知识推荐 信息熵 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]