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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。
It is believed that the modeling of reader interest is the key to realizing the active information service technology of library. The traditional VSM vector model can not extract more information from the reader’s book access behavior record to establish the user interest model. This paper proposes a new reader interest modeling technique to extend the traditional VSM model and construct a two-level interest model from the static characteristic information of readers and different access behavior information to find and describe the reader’s reading preferences more accurately , Improve the accuracy of proactive information push.