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	An integrated model for user attribute discovery: A case study on political affiliation identification
	Gottipati, Swapna ; Qiu, Minghui ; Yang, Liu ; Zhu, Feida ; Jiang, Jing
	2014
英文摘要	Discovering user demographic attributes from social media is a problem of considerable interest. The problem setting can be generalized to include three components - users, topics and behaviors. In recent studies on this problem, however, the behavior between users and topics are not effectively incorporated. In our work, we proposed an integrated unsupervised model which takes into consideration all the three components integral to the task. Furthermore, our model incorporates collaborative filtering with probabilistic matrix factorization to solve the data sparsity problem, a computational challenge common to all such tasks. We evaluated our method on a case study of user political affiliation identification, and compared against state-of-the-art baselines. Our model achieved an accuracy of 70.1% for user party detection task. ? 2014 Springer International Publishing.; EI; 0
语种	英语
DOI标识	10.1007/978-3-319-06608-0_36
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/412795]
专题	软件与微电子学院
推荐引用方式 GB/T 7714	Gottipati, Swapna,Qiu, Minghui,Yang, Liu,et al. An integrated model for user attribute discovery: A case study on political affiliation identification. 2014-01-01.

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