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ICDM
2008
IEEE

Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data

13 years 10 months ago
Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data
Several marketing problems involve prediction of customer purchase behavior and forecasting future preferences. We consider predictive modeling of large scale, bi-modal or multimodal temporal marketing data, for instance, datasets consisting of customer spending behavior over time. Such datasets are characterized by variability in purchase patterns across different customer subgroups and shifting trends in behavior over time, which pose challenges to any predictive technique. The response variable in this case can be viewed as the entries of a matrix/tensor, while the independent variables are the attributes associated with different modes. We propose a simultaneous cosegmentation and learning approach that partitions the input space into relatively homogeneous regions by simultaneously clustering the “customers”, segmenting the “time” axis and concurrently learning predictive models for each (evolving) homogeneous partition. This approach forms a very general framework for pr...
Meghana Deodhar, Joydeep Ghosh
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICDM
Authors Meghana Deodhar, Joydeep Ghosh
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