西安电子科技大学学报（自然科学版）2016，Vol.43Issue(4)：51-56,62,7.DOI:10.3969/j.issn.1001-2400.2016.04.010
微博个性化转发行为预测新算法
Novel algorithm for predicting personalized retweet behavior
摘要
Abstract
Recently , models for predicting the user retweet behavior are based mainly on the historical retweet data of all users . However , these models are of homogeneity and could not predict a particular user’s behavior . To overcome these problems , we propose an algorithm for predicting personalized retweet behavior . Based on crawled Weibo data , we have conducted an analysis and a selection of retweet features . According to the influential theory , we introduce the multi‐task learning framework to divide the tasks into common global tasks and many individual tasks . Our massive experiments show that our algorithm is effective in predicting personalized retweet behavior .关键词
多任务学习/个性化/转发行为/社交网络/微博/数据挖掘Key words
multi-task learning/personalization/retweet behavior/social networks/microblog/data mining分类
信息技术与安全科学引用本文复制引用
唐兴,权义宁,宋建锋,邓凯,朱海,苗启广..微博个性化转发行为预测新算法[J].西安电子科技大学学报（自然科学版）,2016,43(4):51-56,62,7.基金项目
国家自然科学基金资助项目（61472302，61272280，U1404620，41271447）；教育部新世纪优秀人才支持计划资助项目（NCET-12-0919）；中央高校基本科研业务费专项资金资助项目（K5051203020，JB150313，JB150317，K5051303018，BDY081422）；陕西省自然科学基金资助项目（2010JM8027）；西安市科技局资助项目（CXY1441（1））；地理信息工程国家重点实验室开放研究基金资助项目（SKLGIE2014-M-4-4）；NSFC-广东联合基金（第二期）超级计算科学应用研究立项和国家超级计算广州中心资助项目；模式识别国家重点实验室开放课题基金资助项目 （）
