{"task":"Collaborative Filtering","dataset":"Amazon-Book","metric_names":["Recall@20","NDCG@20"],"rows":[{"id":116403,"task":"Collaborative Filtering","parent_task":null,"dataset":"Amazon-Book","model_name":"SANSA","metrics":{"NDCG@20":"0.0637","Recall@20":"0.0768"},"paper_url":"https://dl.acm.org/doi/10.1145/3604915.3608827","paper_title":"Scalable Approximate NonSymmetric Autoencoder for Collaborative Filtering","paper_date":"2023-09-14","code_links":[{"title":"glami/sansa","url":"https://github.com/glami/sansa"}],"metrics_order":"[\"Recall@20\", \"NDCG@20\"]","area":"Miscellaneous","uses_additional_data":0,"source":"archive","tags":[]},{"id":116404,"task":"Collaborative Filtering","parent_task":null,"dataset":"Amazon-Book","model_name":"RLAE-DAN","metrics":{"NDCG@20":"0.0630","Recall@20":"0.0762"},"paper_url":"https://arxiv.org/abs/2504.05805v2","paper_title":"Why is Normalization Necessary for Linear Recommenders?","paper_date":"2025-04-08","code_links":[{"title":"psm1206/dan","url":"https://github.com/psm1206/dan"}],"metrics_order":"[\"Recall@20\", \"NDCG@20\"]","area":"Miscellaneous","uses_additional_data":0,"source":"archive","tags":[]},{"id":116405,"task":"Collaborative Filtering","parent_task":null,"dataset":"Amazon-Book","model_name":"BSPM-LM","metrics":{"NDCG@20":"0.0610","Recall@20":"0.0733"},"paper_url":"https://arxiv.org/abs/2211.09324v2","paper_title":"Blurring-Sharpening Process Models for Collaborative Filtering","paper_date":"2022-11-17","code_links":[{"title":"jeongwhanchoi/bspm","url":"https://github.com/jeongwhanchoi/bspm"}],"metrics_order":"[\"Recall@20\", \"NDCG@20\"]","area":"Miscellaneous","uses_additional_data":0,"source":"archive","tags":[]},{"id":116406,"task":"Collaborative Filtering","parent_task":null,"dataset":"Amazon-Book","model_name":"BSPM-EM","metrics":{"NDCG@20":"0.0609","Recall@20":"0.0733"},"paper_url":"https://arxiv.org/abs/2211.09324v2","paper_title":"Blurring-Sharpening Process Models for Collaborative Filtering","paper_date":"2022-11-17","code_links":[{"title":"jeongwhanchoi/bspm","url":"https://github.com/jeongwhanchoi/bspm"}],"metrics_order":"[\"Recall@20\", \"NDCG@20\"]","area":"Miscellaneous","uses_additional_data":0,"source":"archive","tags":[]},{"id":116407,"task":"Collaborative Filtering","parent_task":null,"dataset":"Amazon-Book","model_name":"LT-OCF","metrics":{"NDCG@20":"0.0341","Recall@20":"0.0442"},"paper_url":"https://arxiv.org/abs/2108.06208v3","paper_title":"LT-OCF: Learnable-Time ODE-based Collaborative Filtering","paper_date":"2021-08-08","code_links":[{"title":"jeongwhanchoi/lt-ocf","url":"https://github.com/jeongwhanchoi/lt-ocf"},{"title":"jeongwhanchoi/LT-OCF-Tutorial","url":"https://github.com/jeongwhanchoi/LT-OCF-Tutorial"}],"metrics_order":"[\"Recall@20\", \"NDCG@20\"]","area":"Miscellaneous","uses_additional_data":0,"source":"archive","tags":[]},{"id":116408,"task":"Collaborative Filtering","parent_task":null,"dataset":"Amazon-Book","model_name":"LightGCN","metrics":{"NDCG@20":"0.0315","Recall@20":"0.0411"},"paper_url":"https://arxiv.org/abs/2002.02126v4","paper_title":"LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation","paper_date":"2020-02-06","code_links":[{"title":"microsoft/recommenders","url":"https://github.com/microsoft/recommenders"},{"title":"gusye1234/pytorch-light-gcn","url":"https://github.com/gusye1234/pytorch-light-gcn"},{"title":"PreferredAI/cornac","url":"https://github.com/PreferredAI/cornac"},{"title":"gusye1234/LightGCN-PyTorch","url":"https://github.com/gusye1234/LightGCN-PyTorch"},{"title":"kuandeng/LightGCN","url":"https://github.com/kuandeng/LightGCN"},{"title":"massquantity/LibRecommender","url":"https://github.com/massquantity/LibRecommender"},{"title":"LehengTHU/Agent4Rec","url":"https://github.com/LehengTHU/Agent4Rec"},{"title":"yshenaw/GF_CF","url":"https://github.com/yshenaw/GF_CF"},{"title":"jinfeng-xu/fkan-gcf","url":"https://github.com/jinfeng-xu/fkan-gcf"},{"title":"apat1n/LightGCN-Pytorch","url":"https://github.com/apat1n/LightGCN-Pytorch"},{"title":"Wuyxin/LightGCN-parallelized-version","url":"https://github.com/Wuyxin/LightGCN-parallelized-version"},{"title":"shuyao-wang/dsl","url":"https://github.com/shuyao-wang/dsl"},{"title":"lucapantea/LightGCN","url":"https://github.com/lucapantea/LightGCN"},{"title":"sayamsingla2000/LightGCN_MovieLens","url":"https://github.com/sayamsingla2000/LightGCN_MovieLens"},{"title":"JiahaoWuGit/DcRec","url":"https://github.com/JiahaoWuGit/DcRec"},{"title":"Trantin84/NGCF-Tin","url":"https://github.com/Trantin84/NGCF-Tin"},{"title":"tanya525625/LightGCN-PyTorch","url":"https://github.com/tanya525625/LightGCN-PyTorch"},{"title":"nathann3/better_than_netflix_movie_recommender","url":"https://github.com/nathann3/better_than_netflix_movie_recommender"}],"metrics_order":"[\"Recall@20\", \"NDCG@20\"]","area":"Miscellaneous","uses_additional_data":0,"source":"archive","tags":[]}]}