Sequential Recommendation on Toys 5-core filtered (test)
9.22Recall@5IntuRec-D
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| IntuRec-DBase Model=D3, Backbone=Qwen2.5-1.5B2026.06 | 9.22 | 11.22 | 7.08 | 7.73 | |
| LatentR3-DBase Model=D3, Backbone=Qwen2.5-1.5B2026.06 | 8.8 | 11.4 | 6.55 | 7.4 | |
| IntuRec-BBase Model=BIGRec, Backbone=Qwen2.5-1.5B2026.06 | 8.58 | 10.77 | 6.62 | 7.33 | |
| D3Recommendation Approach Type=LLM-based, Backbone=Qwen2.5-1.5B2026.06 | 8.3 | 10.26 | 6.1 | 6.74 | |
| LatentR3-BBase Model=BIGRec, Backbone=Qwen2.5-1.5B2026.06 | 7.73 | 10.6 | 5.73 | 6.65 | |
| BIGRecRecommendation Approach Type=LLM-based, Backbone=Qwen2.5-1.5B2026.06 | 7.01 | 9.31 | 5.08 | 5.82 | |
| SASRecRecommendation Approach Type=Traditional2026.06 | 6.01 | 7.6 | 4.58 | 5.1 | |
| AlphaRecRecommendation Approach Type=LLM-based, Backbone=Qwen2.5-1.5B2026.06 | 5.79 | 8.93 | 3.47 | 4.48 | |
| ReaRecRecommendation Approach Type=Traditional2026.06 | 5.65 | 7.57 | 4.1 | 4.72 | |
| GRU4RecRecommendation Approach Type=Traditional2026.06 | 4.17 | 5.64 | 3.05 | 3.52 | |
| LLM-CoTRecommendation Approach Type=LLM-based, Backbone=Qwen2.5-1.5B2026.06 | 2.61 | 4.96 | 1.53 | 2.29 | |
| CaserRecommendation Approach Type=Traditional2026.06 | 2.51 | 3.84 | 1.7 | 2.14 | |
| LLM-BaseRecommendation Approach Type=LLM-based, Backbone=Qwen2.5-1.5B2026.06 | 2.03 | 3.59 | 1.28 | 1.78 |