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ZENODO
Software . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
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mwmytu/DJT-RS: Code of Dynamic User Groups and Reinforcement Learning

Authors: Wenming Ma;

mwmytu/DJT-RS: Code of Dynamic User Groups and Reinforcement Learning

Abstract

Project Integration Overview Integration with DJT-RS Code This codebase has been integrated with portions of the DJT-RS code, and the overall workflow can be executed directly within the DJT-RS framework. However, it is crucial to note that even with the integration, careful consideration is needed when modifying data to ensure its rationality. You can download the Amazon dataset from here, while the Movielens dataset is already included in the files. Explanation of Experiment Files We provide an overview of the general process and some grouping files that remain from our experiments. Some files contain our test data, while others include results exported from completed programs. Please be advised that these files are for reference purposes only. If you need to run specific experimental scenarios or comparative tests, please add the necessary experimental data. Make sure to adjust this information based on your project directory structure and specific requirements. This way, your README.md file will provide a clear overview of the project integration and a guide on how to use the experiment files.

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average