demoleiwang / EC4SRec

Code for the CIKM2022 Paper "Explanation Guided Contrastive Learning for Sequential Recommendation"
27 stars 4 forks source link

EC4SRec (Updating)

Code for the CIKM2022 Paper "Explanation Guided Contrastive Learning for Sequential Recommendation"

visitors

EC4SRec News

09/27/2022: We updated DuoRec on ml-100k.
09/19/2022: We updated CL4SRec w/ X-Aug (Ours) on ml-100k.
09/17/2022: We updated SASRec and CL4SRec on ml-100k.

EC4SRec To-Do list

Quick Start

Command for CL4SRec

python run_train.py --dataset=ml-100k --model=SASRec --method=CL4SRec --gpu_id=13
python run_train.py --dataset=Amazon_Beauty --model=SASRec --method=CL4SRec --gpu_id=4

Command for CL4SRec w/ X-Aug (Ours)

python run_train.py --dataset=ml-100k --model=SASRec --method=CL4SRec_XAUG --xai_method=occlusion --gpu_id=2
python run_train.py --dataset=Amazon_Beauty --model=SASRec --method=CL4SRec_XAUG --xai_method=occlusion --gpu_id=12

Command for DuoRec

python run_train.py --dataset=ml-100k --model=SASRec --method=DuoRec --gpu_id=2
python run_train.py --dataset=Amazon_Beauty --model=SASRec --method=DuoRec --gpu_id=12

Command for DuoRec w/ X-Aug (Ours)

python run_train.py --dataset=ml-100k --model=SASRec --method=DuoRec_XAUG --xai_method=occlusion --gpu_id=2
python run_train.py --dataset=Amazon_Beauty --model=SASRec --method=DuoRec_XAUG --xai_method=occlusion --gpu_id=12

Performance

5-core Setting

Experimtents on ML-100K.

model Recall@5 Recall@10 Recall@20 NDCG@5 NDCG@10 NDCG@20
CL4SRec 0.0753 0.1273 0.2216 0.0452 0.0617 0.0856
+X-Aug (Occlusion) 0.0806 0.1389 0.2418 0.0454 0.0642 0.0899
CoSeRec
+X-Aug (Occlusion)
ContraRec
+X-Aug (Occlusion)
DuoRec 0.0764 0.1198 0.2216 0.0462 0.0602 0.0860
+X-Aug (Occlusion) 0.0753 0.1315 0.2238 0.0456 0.0633 0.0866
ICL
EC4SRec (Occlusion)

Experimtents on Amazon_Beauty

model Recall@5 Recall@10 Recall@20 NDCG@5 NDCG@10 NDCG@20
CL4SRec
+X-Aug (Occlusion)
CoSeRec
+X-Aug (Occlusion)
ContraRec
+X-Aug (Occlusion)
DuoRec
+X-Aug (Occlusion)
ICL
EC4SRec (Occlusion)

Citations

@article{wang2022explanation,
  title={Explanation Guided Contrastive Learning for Sequential Recommendation},
  author={Wang, Lei and Lim, Ee-Peng and Liu, Zhiwei and Zhao, Tianxiang},
  journal={arXiv preprint arXiv:2209.01347},
  year={2022}
}