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» Using Temporal Data for Making Recommendations
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138
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SDM
2010
SIAM
217views Data Mining» more  SDM 2010»
15 years 29 days ago
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
Collaborative filtering is an important topic in data mining and has been widely used in recommendation system. In this paper, we proposed a unified model for collaborative fil...
Quanquan Gu, Jie Zhou, Chris H. Q. Ding
CGF
2004
113views more  CGF 2004»
15 years 2 months ago
Coherent Hierarchical Culling: Hardware Occlusion Queries Made Useful
We present a simple but powerful algorithm for optimizing the usage of hardware occlusion queries in arbitrary complex scenes. Our method minimizes the number of issued queries an...
Jirí Bittner, Michael Wimmer, Harald Piring...
124
Voted
HT
2010
ACM
15 years 4 months ago
Capturing implicit user influence in online social sharing
Online social sharing sites are becoming very popular nowadays among Web users, who use these sites to share their favourite items and to discover interesting and useful items fro...
Ching-man Au Yeung, Tomoharu Iwata
AVSS
2005
IEEE
15 years 8 months ago
Clustering of human actions using invariant body shape descriptor and dynamic time warping
We propose a human action clustering method based on a 3D representation of the body in terms of volumetric coordinates. Features representing body postures are extracted directly...
Massimiliano Pierobon, Marco Marcon, Augusto Sarti...
PAMI
2007
186views more  PAMI 2007»
15 years 2 months ago
Value-Directed Human Behavior Analysis from Video Using Partially Observable Markov Decision Processes
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Jesse Hoey, James J. Little