计算机应用与软件2016，Vol.33Issue(6)：40-43,4.DOI:10.3969/j.issn.1000-386x.2016.06.010
一种基于时间戳的新闻推荐模型
A NEWS RECOMMENDER MODEL BASED ON TIMESTAMP
摘要
Abstract
Rapid development of Internet makes it difficult for users to find the interested news from“information ocean”.It has been the hot issue and challenge in current studies that how to accurately recommend the personalised news to users meeting their requirements.In the paper,we introduced the timestamp into news recommendation model in order to improve the accuracy of the news recommender system. First,we employed the word segmentation tool to segment the news titles and news contents into words,and introduced the time weighting function to compute the preference of users on individual word segmentation.When predicting users preference,we were not just based on the preference of users themselves,the improved collaborative filtering method was also applied in prediction.Finally,the news recommendation was achieved by integrating the derived preference values.Experimental results showed that the proposed model could not only improve the accuracy of news recommender system,it also shortened the responding time of model building as well.关键词
时间戳/稀疏性/分词/新闻推荐Key words
Timestamp/Scarcity/Word segmentation/News recommendation分类
信息技术与安全科学引用本文复制引用
史艳翠,戴浩男,石和平,汪圣洁,杨硕珩,钟惠军..一种基于时间戳的新闻推荐模型[J].计算机应用与软件,2016,33(6):40-43,4.基金项目
国家自然科学基金项目 （）
