https://github.com/xiaohk/recrec
Recommender for suggesting letter writers 👍
https://github.com/xiaohk/recrec
academia academic citation citation-network recommender recommender-system research semantic-scholar
Last synced: about 2 months ago
JSON representation
Recommender for suggesting letter writers 👍
- Host: GitHub
- URL: https://github.com/xiaohk/recrec
- Owner: xiaohk
- License: mit
- Created: 2024-05-24T13:40:44.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-08-12T20:31:40.000Z (about 1 year ago)
- Last Synced: 2025-04-19T15:18:38.644Z (6 months ago)
- Topics: academia, academic, citation, citation-network, recommender, recommender-system, research, semantic-scholar
- Language: TypeScript
- Homepage: https://xiaohk.github.io/recrec/
- Size: 2.73 MB
- Stars: 35
- Watchers: 2
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff
Awesome Lists containing this project
README
RecRec
[](https://github.com/xiaohk/recrec/actions/workflows/build.yml)
[](https://github.com/xiaohk/recrec/blob/main/LICENSE)
[](https://www.npmjs.com/package/recrec)
[](https://doi.org/10.5281/zenodo.12697177)
Recommender for recommendation letter writers 👍
## What is RecRec?
RecRec is a practical tool for finding academic recommendation letter writers.
Whether you are preparing for your tenure package, job application, or green card petition, RecRec helps you quickly identify the best letter writers.
RecRec highlights connections between you and potential recommenders and lets you filter by citations, awards, and other criteria.
Save time and get the most impactful recommendations with RecRec!
### Demo Video
Click to see the high-resolution demo video!
## How Does RecRec Work?
RecRec uses [Semantic Scholar's](https://www.semanticscholar.org) citation database to analyze and identify all researchers who have cited your papers.
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.
Finally, RecRec provides an easy-to-use interface to help you quickly sort, filter, and select potential recommenders.
## Get Started
To use RecRec, visit: .
To find potential recommendation letter writers, follow these three steps:
Step 1
Type your name to identify your semantic scholar profile
Step 2
Select your most representative papers
Step 3
Browse and filter potential letter writers
Optional
Repeat Steps 2 and 3 if needed
## Developing RecRec
Clone or download this repository:
```bash
git clone git@github.com:xiaohk/recrec.git
```
Install the dependencies:
```bash
npm install
```
Then run RecRec:
```
npm run dev
```
Navigate to localhost:3000. You should see RecRec running in your browser :)
## Credits
RecRec is created by Jay Wang.
We appreciate valuable feedback from [Polo Chau](https://poloclub.github.io/polochau/), [Kaan Sancak](https://www.kaansancak.com), [Haekyu Park](https://haekyu.com), and [Alex Kale](https://people.cs.uchicago.edu/~kalea/)! 🙌
## Citation
If you find RecRec useful, please consider citing it.
```bibtex
@misc{wangRecRecRecommenderRecommender2024,
title = {{{RecRec}}: {{Recommender}} for {{Recommender Letter Writers}}},
shorttitle = {{{RecRec}}},
author = {Wang, Zijie J.},
year = {2024},
doi = {10.5281/ZENODO.12697177},
url = {https://zenodo.org/doi/10.5281/zenodo.12697177},
urldate = {2024-07-09},
copyright = {MIT License}
}
```
## License
The software is available under the [MIT License](https://github.com/xiaohk/recrec/blob/main/LICENSE).
## Contribution
Feature requests, bug reports, and fixes are all welcome! Start by [opening an issue](https://github.com/xiaohk/recrec/issues/new).
## Contact
If you have any questions, feel free to [open an issue](https://github.com/xiaohk/recrec/issues/new) or contact [Jay Wang](https://zijie.wang).
