User behavior prediction on Honor Behavior Dataset
63.17Weighted PrecisionBehaviorLM
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| BehaviorLMCategory=LLM-Based2025.05 | 63.17 | 64.02 | 43.89 | 55.58 | 45.06 | 39.78 | |
| TALLRecCategory=LLM-Based2025.05 | 59.38 | 61.41 | 34.25 | 51.75 | 36.36 | 29.08 | |
| CoLLMCategory=LLM-Based2025.05 | 59.28 | 61.25 | 34.93 | 52.13 | 36.74 | 29.64 | |
| LLaRACategory=LLM-Based2025.05 | 58.92 | 60.99 | 34.58 | 51.75 | 36.61 | 29.32 | |
| PITuningCategory=LLM-Enhanced2025.05 | 58.29 | 50.57 | 21.21 | 50.3 | 35.45 | 5.22 | |
| GPT4oCategory=LLM-Based2025.05 | 57.35 | 56.6 | 35.61 | 45.75 | 37.03 | 32.48 | |
| A-LLMRecCategory=LLM-Based2025.05 | 55.45 | 58.56 | 25.26 | 45.67 | 32.67 | 16.01 | |
| AlphaFuseCategory=LLM-Enhanced2025.05 | 54.28 | 58.57 | 17.29 | 43.35 | 18.74 | 10.93 | |
| LLM-ESRCategory=LLM-Enhanced2025.05 | 53.25 | 57.5 | 16.33 | 42.4 | 17.72 | 9.77 | |
| LLama-NTCategory=LLM-Based2025.05 | 50.91 | 42.26 | 24.33 | 41.42 | 24.67 | 20.4 | |
| SASRecCategory=Traditional2025.05 | 48.18 | 55.07 | 15.31 | 40.83 | 21.59 | 9.41 | |
| Bert4RecCategory=Traditional2025.05 | 19.08 | 43.68 | 2.9 | 25 | — | — |