Innovation and Practice of Ideological and Political Education Communication Mode Driven by Artificial Intelligence
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21. März 2025
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Online veröffentlicht: 21. März 2025
Eingereicht: 18. Nov. 2024
Akzeptiert: 20. Feb. 2025
DOI: https://doi.org/10.2478/amns-2025-0559
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© 2025 Mengjie Yin et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Figure 5.

The prediction of the Delicious data set is compared
Model | recall@20 | recall@40 | recall@60 | ndcg@20 | ndcg@40 | ndcg@60 |
---|---|---|---|---|---|---|
GNN | 0.084 | 0.121 | 0.143 | 0.082 | 0.098 | 0.107 |
Social | 0.086 | 0.122 | 0.142 | 0.084 | 0.098 | 0.112 |
This model | 0.085 | 0.127 | 0.146 | 0.084 | 0.105 | 0.114 |
Affective type proportion
Type | Distribution | Neutrality | Positive | Negativity | Conflict |
---|---|---|---|---|---|
Full content | Quantity | 1657 | 1043 | 955 | 234 |
Proportion | 42.61% | 26.82% | 24.56% | 6.02% | |
Top 100 content | Quantity | 40 | 32 | 26 | 2 |
Proportion | 40.00% | 32.00% | 26.00% | 2.00% |
Different user groups create content ratios
Type | Distribution | Core contributor | Active participant | General participant | Diver |
---|---|---|---|---|---|
Full content | Quantity | 33725 | 19337 | 6686 | 396 |
Proportion | 56.07% | 32.15% | 11.12% | 0.66% | |
Top 100 content | Quantity | 58 | 36 | 6 | 0 |
Proportion | 58.00% | 36.00% | 6.00% | 0.00% |
Forward quantity propagation line diagram
Fastest | Slowest | Mean | Standard deviation | |
---|---|---|---|---|
Propagation velocity | 0 | 1 | 0.14 | 0.327 |
Propagation range | 1 | 4 | 1.26 | 0.539 |
Propagation distance | 7 | 99 | 55.4 | 30.726 |
Propagation persistence | 0 | 27 | 13.42 | 9.313 |
TSD data set experiment results
Model | recall@20 | recall@40 | recall@60 | ndcg@20 | ndcg@40 | ndcg@60 |
---|---|---|---|---|---|---|
LightGCN | 0.042 | 0.065 | 0.082 | 0.033 | 0.043 | 0.044 |
LightGCN+mlp | 0.043 | 0.068 | 0.083 | 0.036 | 0.039 | 0.047 |
LightGCN+MMoE | 0.022 | 0.039 | 0.05 | 0.016 | 0.022 | 0.025 |
The prediction of the NATCD data set is compared
Model | recall@20 | recall@40 | recall@60 | ndcg@20 | ndcg@40 | ndcg@60 |
---|---|---|---|---|---|---|
GNN | 0.288 | 0.407 | 0.477 | 0.226 | 0.266 | 0.287 |
Social | 0.286 | 0.394 | 0.471 | 0.226 | 0.263 | 0.286 |
This model | 0.295 | 0.409 | 0.482 | 0.23 | 0.269 | 0.293 |
Overview of data sets
Data set | size | Sparse degree | describe |
---|---|---|---|
Gowalla | 29864*4099 | 0.00085 | Poi recommends data sets |
Amazon-book | 47516*91227 | 0.00054 | Amazon book scoring data set |
TSD | 25913*57794 | 0.00034 | Amazon electronic product scoring data set |
NATCD | 1895*4487 | 0.0065 | NATCD music data set |
Delicious | 1866*69224 | 0.0016 | User-url data set |
Yelp2018 | 31666*38045 | 0.0016 | The yelp contest data set in 2018 |
NATCD data set experiment results
Model | recall@20 | recall@40 | recall@60 | ndcg@20 | ndcg@40 | ndcg@60 |
---|---|---|---|---|---|---|
LightGCN | 0.283 | 0.398 | 0.472 | 0.221 | 0.264 | 0.284 |
LightGCN+mlp | 0.293 | 0.4 | 0.476 | 0.229 | 0.264 | 0.287 |
LightGCN+MMoE | 0.204 | 0.3 | 0.372 | 0.148 | 0.179 | 0.202 |