{"url":"/dataset/epinions","name":"Epinions","full_name":null,"description_markdown":"The **Epinions** dataset is built form a who-trust-whom online social network of a general consumer review site Epinions.com. Members of the site can decide whether to ''trust'' each other. All the trust relationships interact and form the Web of Trust which is then combined with review ratings to determine which reviews are shown to the user.\nIt contains 75,879 nodes and 50,8837 edges.\n\nSource: [https://snap.stanford.edu/data/soc-Epinions1.html](https://snap.stanford.edu/data/soc-Epinions1.html)","description_withheld":null,"homepage":"https://snap.stanford.edu/data/soc-Epinions1.html","introduced_date":"2003-01-01","introduced_date_note":null,"introduced_by":{"paper":null,"title":"Trust Management for the Semantic Web","first_author":null,"url":"https://doi.org/10.1007/978-3-540-39718-2_23"},"license":null,"modalities":[{"name":"Graphs","url":"/datasets/modality/graphs"}],"tasks":[{"name":"Recommendation Systems","url":"/task/recommendation-systems","datasets_with_task":"/datasets/task/recommendation-systems"},{"name":"Link Sign Prediction","url":"/task/link-sign-prediction","datasets_with_task":"/datasets/task/link-sign-prediction"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["Epinions"],"data_loaders":[],"num_papers_in_archive":54,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/recommendation-systems-on-epinions","task":"Recommendation Systems","dataset_variant":"Epinions","rows":4,"metrics":["MAE","RMSE","MAP@20","MRR@20","NDCG@20"],"first_row_in_archive_order":{"model":"DANSER","paper":"/paper/dual-graph-attention-networks-for-deep-latent","metrics":{"MAE":"0.7781","RMSE":"1.0268"},"code_links":[{"title":"echo740/DANSER-WWW-19","url":"https://github.com/echo740/DANSER-WWW-19"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/link-sign-prediction-on-epinions","task":"Link Sign Prediction","dataset_variant":"Epinions","rows":2,"metrics":["AUC","Accuracy","Macro-F1"],"first_row_in_archive_order":{"model":"SiGAT","paper":"/paper/signed-graph-attention-networks","metrics":{"AUC":"0.9333","Accuracy":"0.9293","Macro-F1":"0.8449"},"code_links":[{"title":"huangjunjie95/SiGAT","url":"https://github.com/huangjunjie95/SiGAT"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/heterophily-aware-fair-recommendation-using","title":"Heterophily-Aware Fair Recommendation using Graph Convolutional Networks","date":"2024-01-31","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/signed-graph-attention-networks","title":"Signed Graph Attention Networks","date":"2019-06-26","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/dual-graph-attention-networks-for-deep-latent","title":"Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems","date":"2019-03-25","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/graph-neural-networks-for-social","title":"Graph Neural Networks for Social Recommendation","date":"2019-02-19","rows_on_this_dataset":1,"code_links":9,"syntology":{"read_at":"2026-09-24T18:15:14+00:00","samples_harvested":4,"samples_ran":3,"samples_unverified":1,"pointer_only_for_licence":3,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}},{"paper":"/paper/item-silk-road-recommending-items-from","title":"Item Silk Road: Recommending Items from Information Domains to Social Users","date":"2017-06-10","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/signed-graph-convolutional-network-1","title":"Signed Graph Convolutional Network","date":null,"rows_on_this_dataset":1,"code_links":2,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":1,"samples_harvested":4,"samples_ran":3,"samples_unverified":1,"pointer_only_for_licence":3,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}