Published December 22, 2023
| Version v1.2
Readersourcing 2.0: RS_Py
Description
See related identifiers for more info regarding Readersourcing 2.0 and its technical documentation.
RS_Py is an additional component of the Readersourcing 2.0 ecosystem, providing a fully working implementation of the RSM and TRM models presented in the original paper. These models are encapsulated by the server-side application of Readersourcing 2.0, that is, RS_Server.
Developers with a background in the Python programming language can leverage RS_Py to generate and test new simulations of ratings given by readers to a set of publications. They are allowed to alter the internal logic of the models to test new approaches without the need to fork and edit the full implementation of Readersourcing 2.0.
Files
Readersourcing-2.0-RS_Py-v1.2.zip
Files
(80.9 kB)
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Additional details
Related works
- Has part
- https://github.com/Miccighel/Readersourcing-2.0 (URL)
- Is documented by
- Software documentation: https://zenodo.org/records/10425436 (URL)
- Is supplement to
- https://github.com/Miccighel/RS_Py/releases/tag/v1.2 (URL)
- Is supplemented by
- https://zenodo.org/records/10425557 (URL)
References
- Soprano, M., & Mizzaro, S. (2019). Crowdsourcing Peer Review: As We May Do. In Manghi, Paolo and Candela, Leonardo and Silvello, Gianmaria (Ed.), Digital Libraries: Supporting Open Science (Vol. 988, pp. 259–273). Springer. https://doi.org/10.1007/978-3-030-11226-4_21