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» Generalized Filtering Decomposition
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STOC
2004
ACM
145views Algorithms» more  STOC 2004»
16 years 3 months ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
EICS
2009
ACM
15 years 9 months ago
Input evaluation of an eye-gaze-guided interface: Kalman filter vs. velocity threshold eye movement identification
This paper evaluates the input performance capabilities of Velocity Threshold (I-VT) and Kalman Filter (I-KF) eye movement detection models when employed for eye-gaze-guided inter...
Do Hyong Koh, Sandeep A. Munikrishne Gowda, Oleg V...
KDD
2009
ACM
223views Data Mining» more  KDD 2009»
16 years 3 months ago
Collaborative filtering with temporal dynamics
Customer preferences for products are drifting over time. Product perception and popularity are constantly changing as new selection emerges. Similarly, customer inclinations are ...
Yehuda Koren
SAC
2006
ACM
15 years 2 months ago
Privacy-preserving demographic filtering
The use of recommender systems in e-commerce to guide customer choices presents a privacy protection problem that is twofold. We seek to protect the privacy interests of customers...
Esma Aïmeur, Gilles Brassard, José Man...
CCS
2004
ACM
15 years 8 months ago
Payload attribution via hierarchical bloom filters
Payload attribution is an important problem often encountered in network forensics. Given an excerpt of a payload, finding its source and destination is useful for many security ...
Kulesh Shanmugasundaram, Hervé Brönnim...