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DATA
RESULTS_SAMPLE
LoopTrue_ParallelFits.py
PythonFitting_LoopFalse.sh
PythonFitting_LoopTrue.sh
PythonFitting_Viewers.sh
RCopula_Fitting.R
RCopula_Fitting_TRUE.R
RCopula_Fitting_VIEWERS.R
README.md
Truncated_LoopFalse_ParallelFits.py
Truncated_Viewer_ParallelFits.py
copula_fitting_viewers2.py
copula_fitting_with_R.py
copula_fitting_with_R_trueloop.py

README.md

This repository contains code and relevant information for:

Modeling Dwell Time Engagement on Visual Multimedia Hemank Lamba, Neil Shah ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2019.

To run the code on sample data, already generated in DATA folder.

sh PythonFitting_LoopFalse.sh

will run the entire workflow end to end for Loop False Multimedia Content

Similarly, it can be run for loopTrue and viewers by following commands:

sh PythonFitting_LoopTrue.sh sh PythonFitting_Viewers.sh

For any further clarifications, email at hlambacscmuedu

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