{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:LHGLCW5FGBVIMPHUTZOVUPIGAX","short_pith_number":"pith:LHGLCW5F","schema_version":"1.0","canonical_sha256":"59ccb15ba5306a863cf49e5d5a3d0605e093b7fb0d2b60a7c6f12de89efd5326","source":{"kind":"arxiv","id":"1509.05789","version":3},"attestation_state":"computed","paper":{"title":"BLC: Private Matrix Factorization Recommenders via Automatic Group Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Alessandro Checco, Doug Leith, Giuseppe Bianchi","submitted_at":"2015-09-18T20:21:43Z","abstract_excerpt":"We propose a privacy-enhanced matrix factorization recommender that exploits the fact that users can often be grouped together by interest. This allows a form of \"hiding in the crowd\" privacy. We introduce a novel matrix factorization approach suited to making recommendations in a shared group (or nym) setting and the BLC algorithm for carrying out this matrix factorization in a privacy-enhanced manner. We demonstrate that the increased privacy does not come at the cost of reduced recommendation accuracy."},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1509.05789","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2015-09-18T20:21:43Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"fb3f20ad319f474e98cb5e64f6da302508b56d323ea02f3696e0d72190373a98","abstract_canon_sha256":"5fafbde4ca5bf6b05a04a846d2f6626aaff9a5cd84b609df704256c5fa37aa0e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:49:52.554623Z","signature_b64":"ug8gWX1Z1lsS/OJSqQ5CQSl+Hf9rVEtJHvQpN0qs9o5Ewr/Y3OTnBvdnkdnN0fkk3PEpIEM0xD4LuV9PwgqWDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"59ccb15ba5306a863cf49e5d5a3d0605e093b7fb0d2b60a7c6f12de89efd5326","last_reissued_at":"2026-05-18T00:49:52.554194Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:49:52.554194Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"BLC: Private Matrix Factorization Recommenders via Automatic Group Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Alessandro Checco, Doug Leith, Giuseppe Bianchi","submitted_at":"2015-09-18T20:21:43Z","abstract_excerpt":"We propose a privacy-enhanced matrix factorization recommender that exploits the fact that users can often be grouped together by interest. This allows a form of \"hiding in the crowd\" privacy. We introduce a novel matrix factorization approach suited to making recommendations in a shared group (or nym) setting and the BLC algorithm for carrying out this matrix factorization in a privacy-enhanced manner. We demonstrate that the increased privacy does not come at the cost of reduced recommendation accuracy."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1509.05789","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1509.05789","created_at":"2026-05-18T00:49:52.554256+00:00"},{"alias_kind":"arxiv_version","alias_value":"1509.05789v3","created_at":"2026-05-18T00:49:52.554256+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1509.05789","created_at":"2026-05-18T00:49:52.554256+00:00"},{"alias_kind":"pith_short_12","alias_value":"LHGLCW5FGBVI","created_at":"2026-05-18T12:29:29.992203+00:00"},{"alias_kind":"pith_short_16","alias_value":"LHGLCW5FGBVIMPHU","created_at":"2026-05-18T12:29:29.992203+00:00"},{"alias_kind":"pith_short_8","alias_value":"LHGLCW5F","created_at":"2026-05-18T12:29:29.992203+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LHGLCW5FGBVIMPHUTZOVUPIGAX","json":"https://pith.science/pith/LHGLCW5FGBVIMPHUTZOVUPIGAX.json","graph_json":"https://pith.science/api/pith-number/LHGLCW5FGBVIMPHUTZOVUPIGAX/graph.json","events_json":"https://pith.science/api/pith-number/LHGLCW5FGBVIMPHUTZOVUPIGAX/events.json","paper":"https://pith.science/paper/LHGLCW5F"},"agent_actions":{"view_html":"https://pith.science/pith/LHGLCW5FGBVIMPHUTZOVUPIGAX","download_json":"https://pith.science/pith/LHGLCW5FGBVIMPHUTZOVUPIGAX.json","view_paper":"https://pith.science/paper/LHGLCW5F","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1509.05789&json=true","fetch_graph":"https://pith.science/api/pith-number/LHGLCW5FGBVIMPHUTZOVUPIGAX/graph.json","fetch_events":"https://pith.science/api/pith-number/LHGLCW5FGBVIMPHUTZOVUPIGAX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LHGLCW5FGBVIMPHUTZOVUPIGAX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LHGLCW5FGBVIMPHUTZOVUPIGAX/action/storage_attestation","attest_author":"https://pith.science/pith/LHGLCW5FGBVIMPHUTZOVUPIGAX/action/author_attestation","sign_citation":"https://pith.science/pith/LHGLCW5FGBVIMPHUTZOVUPIGAX/action/citation_signature","submit_replication":"https://pith.science/pith/LHGLCW5FGBVIMPHUTZOVUPIGAX/action/replication_record"}},"created_at":"2026-05-18T00:49:52.554256+00:00","updated_at":"2026-05-18T00:49:52.554256+00:00"}