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BPF plus plus : A Unified Factorization model for predicting retweet behaviors
Wang, Shaoqing1; Li, Cuipin2; Wang, Zheng3; Chen, Hong2; Zheng, Kai4
2020-04-01
发表期刊INFORMATION SCIENCES
ISSN0020-0255
卷号515页码:218-232
摘要Recently, the prediction of retweet behaviors has attracted significant attention, as it can facilitate with a number of tasks, such as popular tweet prediction, personalized recommendation and business intelligence. However, in existing studies, two main problems exists in the prediction of retweet behaviors. (1) The relationship between users is extremely simple when social influences are used for prediction. (2) An effective framework that unifies the effects of both heterogeneous social relations of users and multidimensional similarities of tweets does not exist. Therefore, we propose a unified factorization model that incorporates social influence and tweet similarity into a traditional Bayesian Poisson factorization (BPF) model, named BPF++. Specifically, we utilize a variety of social influence and tweet similarity jointly to improve performance. Furthermore, we integrate trust strengths between users and degrees of similarity between tweets to the framework. We adopt an efficient coordinate ascent algorithm to learn the parameters of the BPF++ model. Extensive experiments are conducted to evaluate the performance of our model on the Sina Weibo dataset. Results demonstrate improvements of 113.64% and 116.28% in the NDCG@3 and precision@3 scores, respectively, compared with BPF. (C) 2019 Elsevier Inc. All rights reserved.
关键词Collaborative filtering Bayesian Poisson factorization Probabilistic model Retweet behaviors Social network
DOI10.1016/j.ins.2019.12.017
收录类别SCI
语种英语
资助项目National Key Research Develop Plan[2018YFB1004401] ; NSFC[61772537] ; NSFC[61772536] ; NSFC[61702522] ; NSFC[61532021] ; NSFC[61902222]
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems
WOS记录号WOS:000513293200013
出版者ELSEVIER SCIENCE INC
引用统计
被引频次:13[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/14505
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Li, Cuipin
作者单位1.Shandong Univ Technol, Sch Comp Sci & Technol, Zibo, Shandong, Peoples R China
2.Renmin Univ China, Key Lab Data Engn & Knowledge Engn MOE, Beijing, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, CAS Key Lab Network Data Sci & Technol, Beijing, Peoples R China
4.Univ Elect Sci & Technol China, Sichuan, Peoples R China
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GB/T 7714
Wang, Shaoqing,Li, Cuipin,Wang, Zheng,et al. BPF plus plus : A Unified Factorization model for predicting retweet behaviors[J]. INFORMATION SCIENCES,2020,515:218-232.
APA Wang, Shaoqing,Li, Cuipin,Wang, Zheng,Chen, Hong,&Zheng, Kai.(2020).BPF plus plus : A Unified Factorization model for predicting retweet behaviors.INFORMATION SCIENCES,515,218-232.
MLA Wang, Shaoqing,et al."BPF plus plus : A Unified Factorization model for predicting retweet behaviors".INFORMATION SCIENCES 515(2020):218-232.
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