计算机工程2012，Vol.38Issue(11)：34-37,4.DOI:10.3969/j.issn.1000-3428.2012.11.011
基于多特征的个性化图书推荐算法
Personalized Book Recommendation Algorithm Based on Multi-feature
摘要
Abstract
To address the problem of recommendation algorithm computing readers similarity or books similarity with low accuracy and recommendation quality, Personalized recommendation algorithm based on multi-feature is proposed. It computes books similarity based on Chinese library classification method and books feature vector, computes readers similarity based on readers feature vector and borrow records. Based on this, two prediction results are produced. The last recommendation is produced to readers by weight of this two prediction results. Experimental result shows that the proposed algorithm achieves more recommendation accuracy on books.关键词
中图分类法/图书特征向量/读者特征向量/相似性/推荐算法/中图分类树/专业分类树Key words
Chinese library classification method/ book feature vector/ reader feature vector/ similarity/ recommendation algorithm/ Chinese library classification tree/ professional classification tree分类
信息技术与安全科学引用本文复制引用
李克潮,梁正友..基于多特征的个性化图书推荐算法[J].计算机工程,2012,38(11):34-37,4.基金项目
广西自然科学基金资助项目(桂科自0832059) （桂科自0832059）
广西民族师范学院2011年度基金资助项目(XYYB2011030) （XYYB2011030）
