计算机应用研究2016，Vol.33Issue(3)：661-664,668,5.DOI:10.3969/j.issn.1001-3695.2016.03.005
基于混合行为兴趣度的用户兴趣模型
User interest model based on hybrid behaviors interest rate
摘要
Abstract
User interest model is the basic and core component in personalized recommendation.Aiming at the deficiency of the evaluation of the user’s interest when building user interest model,this paper brought out a quantification method of inte-rest rate based on hybrid behaviors,which highlighted the specificity of page browsing time and evaluated interest rate based on other browsing behaviors in the case of abnormal page browsing time,and combined with the contents the user had browsed to present the representation and update mechanism for user interest model.Then this paper proposed the user interest model . The experimental results show that this model can recommend personalized information with a higher rate of accuracy compared with the model based on K-means clustering.关键词
用户兴趣模型/用户兴趣度/向量空间模型/文本聚类/推荐系统Key words
user interest model/user interest rate/vector space model/text clustering/recommendation system分类
信息技术与安全科学引用本文复制引用
邢玲,宋章浩,马强..基于混合行为兴趣度的用户兴趣模型[J].计算机应用研究,2016,33(3):661-664,668,5.基金项目
国家自然科学基金资助项目（61171109）；四川省科技厅应用基础项目（2014JY0215）；四川省重点实验室开放基金项目 （）
