Huanhuan Cao

According to our database1, Huanhuan Cao
  • authored at least 29 papers between 2008 and 2014.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2014
Ranking user authority with relevant knowledge categories for expert finding.
World Wide Web, 2014

Mobile App Classification with Enriched Contextual Information.
IEEE Trans. Mob. Comput., 2014

Mining Mobile User Preferences for Personalized Context-Aware Recommendation.
ACM TIST, 2014

Learning to detect subway arrivals for passengers on a train.
Frontiers Comput. Sci., 2014

When Free Trials Meet Online Reviews: the Impact of Informativeness of Online Reviews and Perceived Quality homogeneity.
Proceedings of the 18th Pacific Asia Conference on Information Systems, 2014

2013
A vlHMM approach to context-aware search.
TWEB, 2013

Predicting Stay Time of Mobile Users With Contextual Information.
IEEE Trans. Automation Science and Engineering, 2013

Learning to Detect the Subway Station Arrival for Mobile Users.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

2012
Learning to Infer the Status of Heavy-Duty Sensors for Energy-Efficient Context-Sensing.
ACM TIST, 2012

An unsupervised approach to modeling personalized contexts of mobile users.
Knowl. Inf. Syst., 2012

Context-Aware Expert Finding in Tag Based Knowledge Sharing Communities.
IJKSS, 2012

A habit mining approach for discovering similar mobile users.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Towards Personalized Context-Aware Recommendation by Mining Context Logs through Topic Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

BP-growth: Searching Strategies for Efficient Behavior Pattern Mining.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

A Demonstration of Mining Significant Places from Cell ID Trajectories through a Geo-grid Based Approach.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Mining Significant Places from Cell ID Trajectories: A Geo-grid Based Approach.
Proceedings of the 13th IEEE International Conference on Mobile Data Management, 2012

Mining Personal Context-Aware Preferences for Mobile Users.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Towards Annotating Media Contents through Social Diffusion Analysis.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Link Prediction and Recommendation across Heterogeneous Social Networks.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Exploiting enriched contextual information for mobile app classification.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Mining Concept Sequences from Large-Scale Search Logs for Context-Aware Query Suggestion.
ACM TIST, 2011

Finding Experts in Tag Based Knowledge Sharing Communities.
Proceedings of the Knowledge Science, Engineering and Management, 2011

Towards expert finding by leveraging relevant categories in authority ranking.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
An effective approach for mining mobile user habits.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Towards context-aware search by learning a very large variable length hidden markov model from search logs.
Proceedings of the 18th International Conference on World Wide Web, 2009

Context-aware query classification.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Enhancing recommender systems under volatile userinterest drifts.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Efficient strategies for tough aggregate constraint-based sequential pattern mining.
Inf. Sci., 2008

Context-aware query suggestion by mining click-through and session data.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008


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