Zhen Xiao


2016

pdf bib
Improving Users’ Demographic Prediction via the Videos They Talk about
Yuan Wang | Yang Xiao | Chao Ma | Zhen Xiao
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

pdf bib
Predicting Restaurant Consumption Level through Social Media Footprints
Yang Xiao | Yuan Wang | Hangyu Mao | Zhen Xiao
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers

Accurate prediction of user attributes from social media is valuable for both social science analysis and consumer targeting. In this paper, we propose a systematic method to leverage user online social media content for predicting offline restaurant consumption level. We utilize the social login as a bridge and construct a dataset of 8,844 users who have been linked across Dianping (similar to Yelp) and Sina Weibo. More specifically, we construct consumption level ground truth based on user self report spending. We build predictive models using both raw features and, especially, latent features, such as topic distributions and celebrities clusters. The employed methods demonstrate that online social media content has strong predictive power for offline spending. Finally, combined with qualitative feature analysis, we present the differences in words usage, topic interests and following behavior between different consumption level groups.

2014

pdf bib
Knowledge Sharing via Social Login: Exploiting Microblogging Service for Warming up Social Question Answering Websites
Yang Xiao | Wayne Xin Zhao | Kun Wang | Zhen Xiao
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers