计算机应用与软件2016，Vol.33Issue(12)：224-229,6.DOI:10.3969/j.issn.1000-386x.2016.12.054
基于weight-pooling词向量的上下文广告推荐算法
THE ALGORITHM OF CONTEXTUAL ADVERTISING RECOMMANDATION BASED ON WEIGT-POOLING WORD VECTOR
摘要
Abstract
A new algorithm of context advertising recommendation based on weight-pooling word vector is proposed,which utilizes the mutual information weight of user access records to calculate the cosine similarity of weight-pooling words.This algorithm improves the traditional one based on matching key words and avoids data sparseness and cold start.After experiments and analysis,the recommendation algorithm based on the weight-pooling word vector is obviously superior to the traditional algorithm in the recommendation effect.关键词
词向量/相似度/Weight-pooling/上下文广告Key words
Words vectors/Similarity/Weight-pooling/Contextual advertising分类
信息技术与安全科学引用本文复制引用
杨长春,王俊,袁敏,雷晨阳..基于weight-pooling词向量的上下文广告推荐算法[J].计算机应用与软件,2016,33(12):224-229,6.基金项目
国家自然科学基金项目（61272367）。 （）
