| Issue |
E3S Web Conf.
Volume 268, 2021
2020 6th International Symposium on Vehicle Emission Supervision and Environment Protection (VESEP2020)
|
|
|---|---|---|
| Article Number | 01061 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/e3sconf/202126801061 | |
| Published online | 11 June 2021 | |
Open-source project recommendation model
East China Normal University, China
* Corresponding author: ppu@cc.ecnu.edu.cn
Open-source has become a very important topic in this era. the number of open-source projects on github Shows a huge growth trend. Facing so many open-source projects, it’s not easy to find the projects and topics that the developers interested in. so, it is necessary to model the user's behavior data,So as to automatically recommend projects to developers. to explore this problem, we constructed a dataset of 90w users and 461w projects based on github log and did a lot of cleaning work on the data. finally, we model the data through the improvement of the Light-GCN model to recommend relevant open-source projects to users. The experimental results show that the accuracy of our model is more than 15%.
Key words: github / recommendation model / collaborative filtering / light-GCN / embedding
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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