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124
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SDM
2010
SIAM
149views Data Mining» more  SDM 2010»
15 years 5 months ago
Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
Real-world relational data are seldom stationary, yet traditional collaborative filtering algorithms generally rely on this assumption. Motivated by our sales prediction problem, ...
Liang Xiong, Xi Chen, Tzu-Kuo Huang, Jeff Schneide...
111
Voted
HCI
2007
15 years 5 months ago
Can Virtual Humans Be More Engaging Than Real Ones?
: Emotional bonds don’t arise from a simple exchange of facial displays, but often emerge through the dynamic give and take of face-to-face interactions. This article explores th...
Jonathan Gratch, Ning Wang, Anna Okhmatovskaia, Fr...
150
Voted
ICWS
2008
IEEE
15 years 5 months ago
A Temporal Data-Mining Approach for Discovering End-to-End Transaction Flows
Effective management of Web Services systems relies on accurate understanding of end-to-end transaction flows, which may change over time as the service composition evolves. This ...
Ting Wang, Chang-Shing Perng, Tao Tao, Chunqiang T...
LREC
2008
154views Education» more  LREC 2008»
15 years 5 months ago
A Comparative Evaluation of Term Recognition Algorithms
Automatic Term recognition (ATR) is a fundamental processing step preceding more complex tasks such as semantic search and ontology learning. From a large number of methodologies ...
Ziqi Zhang, José Iria, Christopher Brewster...
NIPS
2007
15 years 5 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...