Understanding Large-Scale Dynamic Purchase Behavior

Towards understanding online purchase behavior

Program understanding behavior during corrective maintenance of large-scale software

This paper reports on a software understanding "eld study of corrective maintenance of large-scale software. Participants were professional software maintenance engineers. The paper reports on the general understanding process, the types of actions programmers preferred during the debugging task, the level of abstraction at which they were working and the role of hypotheses in the debugging str...

Large-Scale Query Understanding

In this paper, we propose a large-scale multi-dimensional co-clustering framework for understanding queries in a search engine. To achieve this goal, the system simultaneously clusters queries along with attributes of results that were shown (and clicked) on these queries. In our application, we co-cluster queries along with advertisements (commercial results), advertisement keywords, and query...

Modeling Correlated Purchase Behavior in Large-Scale Networks – A Markov Random Field (MRF) Approach

The advent of information technology has enabled the collection of large scale network data. This presents an exciting opportunity for researchers to understand consumer behavior in a social network environment. In this study, we model the interdependence of product adoption decisions among consumers in a social network. We develop a Gaussian Markov Random Field (GMRF) model to characterize the...

Proteins with similar architecture exhibit similar large-scale dynamic behavior.

We have investigated the similarities and differences in the computed dynamic fluctuations exhibited by six members of a protein fold family with a coarse-grained Gaussian network model. Specifically, we consider the cofactor binding fragment of CysB; the lysine/arginine/ornithine-binding protein (LAO); the enzyme porphobilinogen deaminase (PBGD); the ribose-binding protein (RBP); the N-termina...