计算机应用与软件2011，Vol.28Issue(10)：7-8,42,3.
改进相似性度量方法的协同过滤推荐算法
COLLABORATIVE FILTERING RECOMMENDATION ALGORITHM ON IMPROVED SIMILARITY MEASURE METHOD
摘要
Abstract
Collaborative filtering recommendation technology is the most successful personalised recommendation technology ever applied to e-commerce recommendation systems. As the scale of e-commerce expands, the magnitudes of users and commodities grow rapidly, which persistently worsens the performance of traditional recommendation technology. Therefore a new similarity measure method is put forward to automatically generate weighting factors, dynamically combine attribute similarity and score similarity, create a reasonable item similarity to find out the nearest neighbouring item, and finally realise user rating recommendation. Experimental results prove the algorithm improves recommendation steadiness and precision to a certain extent and solves the cold start problem.关键词
相似度/冷启动/协同过滤/推荐/最近邻居Key words
Similarity/Cold start/Collaborative filter/Recommendation/Nearest neighbour分类
信息技术与安全科学引用本文复制引用
吴月萍,郑建国..改进相似性度量方法的协同过滤推荐算法[J].计算机应用与软件,2011,28(10):7-8,42,3.基金项目
国家自然科学基金资助(70971020) （70971020）
