中文摘要：

个性化新书推荐服务对高校图书馆的资源推广服务具有重要作用。提出一种基于协同过滤的个性化新书推荐方法 NBR_CF。该方法首先建立基于图书分类号的读者阅读兴趣,以此为基础寻找与目标读者具有相似阅读兴趣的读者群体,最后把相似读者群体感兴趣的新书推荐给目标读者。实验表明该方法具有较高的新书推荐命中率。

英文摘要：

Personalized new book recommendation plays an important role in university library for resources promotion service. Based on collaborative filtering method,we propose a personalized new book recommendation method named as NBR_CF. The method establishes reading interest based on CLC number,and searches the similar interest readers to target reader based on reading interest. Finally,NBR_CF recommends to the target reader the new books which similar readers are interested in. The experiment shows that this method has high hit rate of the new book recommendation.