Research Article
Attention-Based Personalized Encoder-Decoder Model for Local Citation Recommendation
Table 1
Experimental results of different AED model-based approaches.
| Dataset | Approach | MAP | Recall@30 | Recall@70 | Recall@100 | NDCG@30 | NDCG@70 | NDCG@100 |
| AAN | AED-C | 0.279 | 0.593 | 0.656 | 0.728 | 0.628 | 0.716 | 0.745 | AED-CV | 0.288 | 0.612 | 0.663 | 0.740 | 0.633 | 0.735 | 0.748 | AED-CA | 0.291 | 0.618 | 0.670 | 0.743 | 0.639 | 0.741 | 0.755 | AED-CAV | 0.301 | 0.625 | 0.692 | 0.755 | 0.652 | 0.766 | 0.780 | |
| DBLP | AED-C | 0.275 | 0.563 | 0.641 | 0.683 | 0.597 | 0.695 | 0.724 | AED-CV | 0.289 | 0.576 | 0.663 | 0.705 | 0.605 | 0.716 | 0.735 | AED-CA | 0.292 | 0.578 | 0.667 | 0.711 | 0.616 | 0.723 | 0.744 | AED-CAV | 0.305 | 0.591 | 0.684 | 0.732 | 0.627 | 0.735 | 0.758 |
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