13 citations · 69 across the 13 of their papers we have counts for
5 papers · 1 filter
Fine-grained Mining of Illicit Drug Use Patterns Using Social Multimedia Data from Instagram
Yiheng Zhou, Numair Sani, Jiebo Luo
According to NSDUH (National Survey on Drug Use and Health), 20 million Americans consumed drugs in the past few 30 days. Combating illicit drug use is of great interest to public…
Solving Cold-Start Problem in Large-scale Recommendation Engines: A Deep Learning Approach
Jianbo Yuan, Walid Shalaby, Mohammed Korayem +3
Collaborative Filtering (CF) is widely used in large-scale recommendation engines because of its efficiency, accuracy and scalability. However, in practice, the fact that recommend…
Inferring Restaurant Styles by Mining Crowd Sourced Photos from User-Review Websites
Haofu Liao, Yuncheng Li, Tianran Hu +1
When looking for a restaurant online, user uploaded photos often give people an immediate and tangible impression about a restaurant. Due to their informativeness, such user contri…
Pricing the Woman Card: Gender Politics between Hillary Clinton and Donald Trump
Yu Wang, Yang Feng, Yuncheng Li +3
In this paper, we propose a data-driven method to measure the impact of the 'woman card' exchange between Hillary Clinton and Donald Trump. Building from a unique dataset of the tw…
Voting with Feet: Who are Leaving Hillary Clinton and Donald Trump?
Yu Wang, Yuncheng Li, Quanzeng You +3
From a crowded field with 17 candidates, Hillary Clinton and Donald Trump have emerged as the two front-runners in the 2016 U.S. presidential campaign. The two candidates each boas…