Collaborative filtering recommendation algorithm based on semantic similarity of item
Collaborative filtering recommendation algorithm based on semantic similarity of item
复制标题
基于项目语义相似度的协同过滤推荐算法
DOI：
10.1109/icaci.2012.6463204
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
B. Juan
中科院分区：
文献类型：
--
作者：
B. Juan
精确度和质量是推荐系统的最佳评价。为了提高项目相似度的准确性，提出了一种基于项目语义相似度计算的协同过滤修正算法。实验结果表明，优化后的算法提高了预测精度，减少了项目冷启动问题，具有较好的预测效果。
The accuracy and quality is the best evaluation of recommend system. This paper proposes a collaborative filtering remmendation algorithms based on computing the sematic similarity of items in order to improve the accuracy of items' similarity. The experimental results shows that the optimized algorithm can give a better prediction, by way of increasing accuracy and reducing cold-start problem of item.