摘要
认为读者兴趣建模是实现图书馆主动信息服务技术的关键,传统的VSM向量模型不能很好地从读者的图书访问行为记录中提取更多的信息用于建立用户兴趣模型。提出一种新的读者兴趣建模技术,对传统VSM模型加以扩展,从读者的静态特征信息和不同的访问行为信息中构建两层结构的兴趣模型,可以更精确地发现和描述读者的阅读偏好,提高主动信息推送的准确性。
Reader interest modeling is the key step to implement the initiative library recommendation system. The defect of the traditional VSM（vector space model）cannot extract more valuable information by analyzing the reader＇s book access behaviors. A new reader interest modeling algorithm is introduced in this paper. The new model is extended from traditional VSM. In this extended RIM （ reader interest model）, the reader＇ s information not only the static characteristics but also the dynamic behaviors are used to establish the 2-layer model. The reading preference and interest of a reader can be founded and described more accurately in the extended model, the quality and accurateness of the library recommendation system are improved.
出处
《图书情报工作》
CSSCI
北大核心
2012年第5期119-122,138,共5页
Library and Information Service
关键词
图书个性化信息服务
读者兴趣建模
VSM
推送系统
personalized information services for library reader interests modeling VSM recommendation system
