Web API Recommendation on ProgrammableWeb (test)
66.16PrecisionWARBERT
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| WARBERTN=1, Backbone=BERT-Tiny, Number of Parameters=4.4M2025.09 | 66.16 | 45.1 | 66.16 | 66.16 | |
| SEHGNN=1, patience=7, maximum epochs=1002025.09 | 61.73 | 42.98 | 61.73 | 61.73 | |
| MTFMN=12025.09 | 58.98 | 39.39 | 58.98 | 58.98 | |
| MTFM++N=12025.09 | 58.61 | 39.57 | 58.61 | 58.61 | |
| ServiceBERTN=1, batch size=32, fine-tuning learning rate=5 x 10^-52025.09 | 58.06 | 40.19 | 58.06 | 58.06 | |
| RWRN=12025.09 | 42.91 | 30.97 | 42.91 | 42.91 | |
| SPRN=12025.09 | 41.87 | 28.68 | 41.87 | 41.87 | |
| FC-LSTMN=12025.09 | 30.87 | 21.53 | 30.87 | 30.87 | |
| WARBERTN=5, Backbone=BERT-Tiny, Number of Parameters=4.4M2025.09 | 21.67 | 61.72 | 71.73 | 69.45 | |
| SEHGNN=5, patience=7, maximum epochs=1002025.09 | 20.6 | 61.14 | 63.81 | 61.87 | |
| MTFM++N=52025.09 | 19.4 | 55.18 | 65.95 | 63.06 | |
| MTFMN=52025.09 | 19.2 | 55.35 | 66.13 | 63.24 | |
| RWRN=52025.09 | 18.76 | 54.49 | 59.97 | 55.1 | |
| SPRN=52025.09 | 17.44 | 48.74 | 55.68 | 51.51 | |
| ServiceBERTN=5, batch size=32, fine-tuning learning rate=5 x 10^-52025.09 | 16.8 | 53.29 | 52.75 | 47.79 | |
| FC-LSTMN=52025.09 | 13.28 | 37.84 | 42.72 | 38.64 | |
| WARBERTN=10, Backbone=BERT-Tiny, Number of Parameters=4.4M2025.09 | 12.15 | 66.15 | 71.89 | 68.25 | |
| RWRN=102025.09 | 11.53 | 64.31 | 62 | 54.71 | |
| MTFM++N=102025.09 | 11.36 | 61.27 | 66.37 | 61.64 | |
| SPRN=102025.09 | 11.14 | 59.7 | 57.84 | 50.89 | |
| MTFMN=102025.09 | 11.11 | 60.66 | 66.44 | 61.74 | |
| SEHGNN=10, patience=7, maximum epochs=1002025.09 | 10.42 | 64.98 | 64.07 | 62.01 | |
| ServiceBERTN=10, batch size=32, fine-tuning learning rate=5 x 10^-52025.09 | 9.25 | 57.31 | 53.96 | 48.18 | |
| FC-LSTMN=102025.09 | 8.42 | 46.14 | 45.24 | 39.11 |