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Update readme
Signed-off-by: Jay Wang <[email protected]>
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README.md

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Recommender for recommendation letter writers 👍
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<a href="https://xiaohk.github.io/wordflow"><img width="100%" src='https://i.imgur.com/QaWYWni.png'></a>
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<a href="https://xiaohk.github.io/recrec"><img width="100%" src='https://i.imgur.com/QaWYWni.png'></a>
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## What is RecRec?
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RecRec is a practical tool for finding academic recommendation letter writers.
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Whether you are applying for a fellowship, job, or green card petition, RecRec helps you quickly identify the best letter writers.
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Whether you are preparing for your tenure package, job application, or green card petition, RecRec helps you quickly identify the best letter writers.
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RecRec highlights connections between you and potential recommenders and lets you filter by citations, awards, and other criteria.
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Save time and get the most impactful recommendations with RecRec!
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## How Does RecRec Work?
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RecRec uses [Semantic Scholar's](https://www.semanticscholar.org) citation database to analyze and identify all researchers who have cited your papers.
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In addition, it uses the [Academic Award database](https://github.com/xiaohk/academic-awards) to highlight researchers with awards, such as ACM Fellow and IEEE Fellow.
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Finally, RecRec provides an easy-to-use interface to help you quickly sort, filter, and select potential recommenders.
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## Get Started
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To use RecRec, visit: <https://xiaohk.github.io/recrec/>.
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To find potential recommendation letter writers, follow these three steps:
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<table>
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<tr>
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<td><strong>Step 1</strong></td>
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<td>Type your name to identify your semantic scholar profile</td>
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</tr>
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<tr></tr>
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<tr>
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<td><strong>Step 2</strong></td>
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<td>Select your most representative papers</td>
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</tr>
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<tr></tr>
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<tr>
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<td><strong>Step 3</strong></td>
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<td>Browse and filter potential letter writers</td>
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</tr>
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<tr></tr>
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<tr>
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<td><strong>Optional</strong></td>
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<td>Repeat Steps 2 and 3 if needed</td>
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</tr>
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<tr></tr>
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<tr></tr>
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</table>
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## Developing RecRec
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Clone or download this repository:

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