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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
15 years 10 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
WEBI
2009
Springer
15 years 4 months ago
In the Mood to Click? Towards Inferring Receptiveness to Search Advertising
Abstract—We present a method for modeling, and automatically inferring, the current interest of a user in search advertising. Our task is complementary to that of predicting ad r...
Qi Guo, Eugene Agichtein, Charles L. A. Clarke, Az...
ICDCS
2010
IEEE
15 years 1 months ago
When Transportation Meets Communication: V2P over VANETs
Abstract—Information interaction is a crucial part of modern transportation activities. In this paper, we propose the idea of Vehicle-to-Passenger communication (V2P), which allo...
Nianbo Liu, Ming Liu, Jiannong Cao, Guihai Chen, W...
SIGIR
2011
ACM
14 years 16 days ago
Fast context-aware recommendations with factorization machines
The situation in which a choice is made is an important information for recommender systems. Context-aware recommenders take this information into account to make predictions. So ...
Steffen Rendle, Zeno Gantner, Christoph Freudentha...
KDD
2010
ACM
250views Data Mining» more  KDD 2010»
14 years 11 months ago
On community outliers and their efficient detection in information networks
Linked or networked data are ubiquitous in many applications. Examples include web data or hypertext documents connected via hyperlinks, social networks or user profiles connected...
Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Su...