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WWW
2007
ACM
14 years 9 months ago
Modeling user behavior in recommender systems based on maximum entropy
We propose a model for user purchase behavior in online stores that provide recommendation services. We model the purchase probability given recommendations for each user based on...
Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
VLDB
2005
ACM
146views Database» more  VLDB 2005»
14 years 9 months ago
Adaptive website recommendations with AWESOME
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many fa...
Andreas Thor, Nick Golovin, Erhard Rahm
SIGMOD
2006
ACM
141views Database» more  SIGMOD 2006»
14 years 9 months ago
Contour map matching for event detection in sensor networks
Many sensor network applications, such as object tracking and disaster monitoring, require effective techniques for event detection. In this paper, we propose a novel event detect...
Wenwei Xue, Qiong Luo, Lei Chen 0002, Yunhao Liu
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
14 years 9 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...
EDBT
2004
ACM
142views Database» more  EDBT 2004»
14 years 9 months ago
Iterative Incremental Clustering of Time Series
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
Jessica Lin, Michail Vlachos, Eamonn J. Keogh, Dim...