{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:S7OBZNQL3I42P2EMNMGOF22YPB","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"d944cd63c7467086681912148053c759fdbc5e43746867c417cd03923e7142f4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-18T14:04:36Z","title_canon_sha256":"5fc5c7a4b508127c6c7dcc968e7423b25e94a87452dd1eacada173da679dd1ea"},"schema_version":"1.0","source":{"id":"2407.13531","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.13531","created_at":"2026-07-05T08:45:40Z"},{"alias_kind":"arxiv_version","alias_value":"2407.13531v1","created_at":"2026-07-05T08:45:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.13531","created_at":"2026-07-05T08:45:40Z"},{"alias_kind":"pith_short_12","alias_value":"S7OBZNQL3I42","created_at":"2026-07-05T08:45:40Z"},{"alias_kind":"pith_short_16","alias_value":"S7OBZNQL3I42P2EM","created_at":"2026-07-05T08:45:40Z"},{"alias_kind":"pith_short_8","alias_value":"S7OBZNQL","created_at":"2026-07-05T08:45:40Z"}],"graph_snapshots":[{"event_id":"sha256:486f45a28d351e125f2f061db455746bec5e2cd21ea7b4ec687102819029d684","target":"graph","created_at":"2026-07-05T08:45:40Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2407.13531/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study examines the performance of item-based k-Nearest Neighbors (ItemKNN) algorithms in the RecBole and LensKit recommender system libraries. Using four data sets (Anime, Modcloth, ML-100K, and ML-1M), we assess each library's efficiency, accuracy, and scalability, focusing primarily on normalized discounted cumulative gain (nDCG). Our results show that RecBole outperforms LensKit on two of three metrics on the ML-100K data set: it achieved an 18% higher nDCG, 14% higher precision, and 35% lower recall. To ensure a fair comparison, we adjusted LensKit's nDCG calculation to match RecBole'","authors_text":"Jannik Nitschke, Michael Schmidt, Tim Prinz","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-18T14:04:36Z","title":"Evaluating the performance-deviation of itemKNN in RecBole and LensKit"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.13531","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:2cfb42aecf73f017af408ca399639fb186ce0e816bf091da1f28af6be7dedfb2","target":"record","created_at":"2026-07-05T08:45:40Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"d944cd63c7467086681912148053c759fdbc5e43746867c417cd03923e7142f4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-07-18T14:04:36Z","title_canon_sha256":"5fc5c7a4b508127c6c7dcc968e7423b25e94a87452dd1eacada173da679dd1ea"},"schema_version":"1.0","source":{"id":"2407.13531","kind":"arxiv","version":1}},"canonical_sha256":"97dc1cb60bda39a7e88c6b0ce2eb58785789c33783c15fcf4dd75d5cdc7722d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"97dc1cb60bda39a7e88c6b0ce2eb58785789c33783c15fcf4dd75d5cdc7722d0","first_computed_at":"2026-07-05T08:45:40.365596Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:45:40.365596Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Nb66AMCiwEQrGze/ToTnv6g1TFj2iRM95g7Ck1AZ9xAdibqACKa0P6lz8jzXaROZtDNbzO7JG7+/0v2RCNCkBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:45:40.366033Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.13531","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2cfb42aecf73f017af408ca399639fb186ce0e816bf091da1f28af6be7dedfb2","sha256:486f45a28d351e125f2f061db455746bec5e2cd21ea7b4ec687102819029d684"],"state_sha256":"7c046c09caf6ad139adc682cec55a9b1c64ad750be4f9c49c7de47a10ebf97b9"}