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update README with paper link + link to ReCon
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README.md

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@@ -3,6 +3,29 @@ This is a repository for NoMoAds - a system for predicting whether or not networ
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request for an ad. For other details about the project, visit the project
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[website](http://athinagroup.eng.uci.edu/projects/nomoads/).
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## Citing NoMoAds
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If you create a publication (including web pages, papers published by a
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third party, and publicly available presentations) using NoMoAds or the
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NoMoAds dataset, please cite the
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[corresponding paper](https://www.petsymposium.org/2018/files/papers/issue4/popets-2018-0035.pdf)
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as follows:
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```
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@article{shuba2018nomoads,
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title={{NoMoAds: Effective and Efficient Cross-App Mobile Ad-Blocking}},
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author={Shuba, Anastasia and Markopoulou, Athina and Shafiq, Zubair},
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journal={Proceedings on Privacy Enhancing Technologies},
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volume={2018},
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number={4},
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year={2018},
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publisher={De Gruyter Open}
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}
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```
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We also encourage you to provide us (<nomoads.uci@gmail.com>) with a
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link to your publication. We use this information in reports to our
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funding agencies.
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## Quick Start
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### Prerequisites
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* Python 2.7
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* Download the NoMoAds dataset from
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[our website](http://athinagroup.eng.uci.edu/projects/nomoads/data/).
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* Unzip the contents and place them in a folder of our choosing.
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* Unzip the contents and place them in a folder of your choosing.
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Throughout the document we will refer to this folder as `DATA_ROOT`.
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Your folder structure should look as follows:
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```
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`utils.py` - contains various global variables and utility methods
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used by other scripts.
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## Acknowledgements
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* [ReCon](https://github.com/Eyasics/recon)

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