Search For:

Displaying 1-9 out of 9 total
Harnessing the Crowdsourcing Power of Social Media for Disaster Relief
Found in: IEEE Intelligent Systems
By Huiji Gao, Geoffrey Barbier, Rebecca Goolsby
Issue Date:May 2011
pp. 10-14
<p>Social media sites have proven useful in disaster relief for information propagation and communication. Crowdsourcing applications based on social media applications such as Twitter and Ushahidi provide a powerful capability for collecting informa...
 
Discovering Overlapping Groups in Social Media
Found in: Data Mining, IEEE International Conference on
By Xufei Wang, Lei Tang, Huiji Gao, Huan Liu
Issue Date:December 2010
pp. 569-578
The increasing popularity of social media is shortening the distance between people. Social activities, e.g., tagging in Flickr, book marking in Delicious, twittering in Twitter, etc. are reshaping people’s social life and redefining their social roles. Pe...
 
Modeling temporal effects of human mobile behavior on location-based social networks
Found in: Proceedings of the 22nd ACM international conference on Conference on information & knowledge management (CIKM '13)
By Huiji Gao, Xia Hu, Huan Liu, Jiliang Tang
Issue Date:October 2013
pp. 1673-1678
The rapid growth of location-based social networks (LBSNs) invigorates an increasing number of LBSN users, providing an unprecedented opportunity to study human mobile behavior from spatial, temporal, and social aspects. Among these aspects, temporal effec...
     
Context-aware review helpfulness rating prediction
Found in: Proceedings of the 7th ACM conference on Recommender systems (RecSys '13)
By Huan Liu, Huiji Gao, Jiliang Tang, Xia Hu
Issue Date:October 2013
pp. 1-8
Online reviews play a vital role in the decision-making process for online users. Helpful reviews are usually buried in a large number of unhelpful reviews, and with the consistently increasing number of reviews, it becomes more and more difficult for onli...
     
Exploring temporal effects for location recommendation on location-based social networks
Found in: Proceedings of the 7th ACM conference on Recommender systems (RecSys '13)
By Huan Liu, Huiji Gao, Jiliang Tang, Xia Hu
Issue Date:October 2013
pp. 93-100
Location-based social networks (LBSNs) have attracted an inordinate number of users and greatly enriched the urban experience in recent years. The availability of spatial, temporal and social information in online LBSNs offers an unprecedented opportunity ...
     
gSCorr: modeling geo-social correlations for new check-ins on location-based social networks
Found in: Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM '12)
By Huan Liu, Huiji Gao, Jiliang Tang
Issue Date:October 2012
pp. 1582-1586
Location-based social networks (LBSNs) have attracted an increasing number of users in recent years. The availability of geographical and social information of online LBSNs provides an unprecedented opportunity to study the human movement from their socio-...
     
eTrust: understanding trust evolution in an online world
Found in: Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '12)
By Atish Das Sarmas, Huan Liu, Huiji Gao, Jiliang Tang
Issue Date:August 2012
pp. 253-261
Most existing research about online trust assumes static trust relations between users. As we are informed by social sciences, trust evolves as humans interact. Little work exists studying trust evolution in an online world. Researching online trust evolut...
     
mTrust: discerning multi-faceted trust in a connected world
Found in: Proceedings of the fifth ACM international conference on Web search and data mining (WSDM '12)
By Huan Liu, Jiliang Tang, Huiji Gao
Issue Date:February 2012
pp. 93-102
Traditionally, research about trust assumes a single type of trust between users. However, trust, as a social concept, inherently has many facets indicating multiple and heterogeneous trust relationships between users. Due to the presence of a large trust ...
     
Network quantification despite biased labels
Found in: Proceedings of the Eighth Workshop on Mining and Learning with Graphs (MLG '10)
By Huan Liu, Huiji Gao, Lei Tang
Issue Date:July 2010
pp. 147-154
The increasing availability of participatory web and social media presents enormous opportunities to study human relations and collective behaviors. Many applications involving decision making want to obtain certain generalized properties about the populat...
     
 1