{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:CZ5OXME2PJDDMGR7QFS7BUTC4K","short_pith_number":"pith:CZ5OXME2","schema_version":"1.0","canonical_sha256":"167aebb09a7a46361a3f8165f0d262e2b6015af2f979839b1c7dcf3af5fe1f87","source":{"kind":"arxiv","id":"2408.00247","version":3},"attestation_state":"computed","paper":{"title":"Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Jianhang Huang, Jian Wu, Longbin Li, Wen Chen, Yingcai Ma, Yuliang Yan, Yuning Jiang, Ziyang Wang","submitted_at":"2024-08-01T02:54:23Z","abstract_excerpt":"In recommendation systems, the matching stage is becoming increasingly critical, serving as the upper limit for the entire recommendation process. Recently, some studies have started to explore the use of multi-scenario information for recommendations, such as model-based and data-based approaches. However, the matching stage faces significant challenges due to the need for ultra-large-scale retrieval and meeting low latency requirements. As a result, the methods applied at this stage (collaborative filtering and two-tower models) are often designed to be lightweight, hindering the full utiliz"},"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":"2408.00247","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-08-01T02:54:23Z","cross_cats_sorted":[],"title_canon_sha256":"873043fac02751420bda006264c2f48e1813fcbd05e9159da11597f8cbbaffc9","abstract_canon_sha256":"114d7e200d78ed5a18606cdc40f8ad35ddbb607fb574c4050017ed735f63edb3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:52:37.578137Z","signature_b64":"e2fU+qESuk0z1xu17MJ5X95Il6TlbmfJrqqUeq0YK1pxJKoW+skZ7JFkzNVigZJi/LnZAmwau+WnlUx+DmNuAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"167aebb09a7a46361a3f8165f0d262e2b6015af2f979839b1c7dcf3af5fe1f87","last_reissued_at":"2026-07-05T08:52:37.577663Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:52:37.577663Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Jianhang Huang, Jian Wu, Longbin Li, Wen Chen, Yingcai Ma, Yuliang Yan, Yuning Jiang, Ziyang Wang","submitted_at":"2024-08-01T02:54:23Z","abstract_excerpt":"In recommendation systems, the matching stage is becoming increasingly critical, serving as the upper limit for the entire recommendation process. Recently, some studies have started to explore the use of multi-scenario information for recommendations, such as model-based and data-based approaches. However, the matching stage faces significant challenges due to the need for ultra-large-scale retrieval and meeting low latency requirements. As a result, the methods applied at this stage (collaborative filtering and two-tower models) are often designed to be lightweight, hindering the full utiliz"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.00247","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2408.00247/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2408.00247","created_at":"2026-07-05T08:52:37.577721+00:00"},{"alias_kind":"arxiv_version","alias_value":"2408.00247v3","created_at":"2026-07-05T08:52:37.577721+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.00247","created_at":"2026-07-05T08:52:37.577721+00:00"},{"alias_kind":"pith_short_12","alias_value":"CZ5OXME2PJDD","created_at":"2026-07-05T08:52:37.577721+00:00"},{"alias_kind":"pith_short_16","alias_value":"CZ5OXME2PJDDMGR7","created_at":"2026-07-05T08:52:37.577721+00:00"},{"alias_kind":"pith_short_8","alias_value":"CZ5OXME2","created_at":"2026-07-05T08:52:37.577721+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/CZ5OXME2PJDDMGR7QFS7BUTC4K","json":"https://pith.science/pith/CZ5OXME2PJDDMGR7QFS7BUTC4K.json","graph_json":"https://pith.science/api/pith-number/CZ5OXME2PJDDMGR7QFS7BUTC4K/graph.json","events_json":"https://pith.science/api/pith-number/CZ5OXME2PJDDMGR7QFS7BUTC4K/events.json","paper":"https://pith.science/paper/CZ5OXME2"},"agent_actions":{"view_html":"https://pith.science/pith/CZ5OXME2PJDDMGR7QFS7BUTC4K","download_json":"https://pith.science/pith/CZ5OXME2PJDDMGR7QFS7BUTC4K.json","view_paper":"https://pith.science/paper/CZ5OXME2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2408.00247&json=true","fetch_graph":"https://pith.science/api/pith-number/CZ5OXME2PJDDMGR7QFS7BUTC4K/graph.json","fetch_events":"https://pith.science/api/pith-number/CZ5OXME2PJDDMGR7QFS7BUTC4K/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CZ5OXME2PJDDMGR7QFS7BUTC4K/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CZ5OXME2PJDDMGR7QFS7BUTC4K/action/storage_attestation","attest_author":"https://pith.science/pith/CZ5OXME2PJDDMGR7QFS7BUTC4K/action/author_attestation","sign_citation":"https://pith.science/pith/CZ5OXME2PJDDMGR7QFS7BUTC4K/action/citation_signature","submit_replication":"https://pith.science/pith/CZ5OXME2PJDDMGR7QFS7BUTC4K/action/replication_record"}},"created_at":"2026-07-05T08:52:37.577721+00:00","updated_at":"2026-07-05T08:52:37.577721+00:00"}