{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:JNXIVUGB4BXBNCGCNS2667WPSG","short_pith_number":"pith:JNXIVUGB","canonical_record":{"source":{"id":"1902.00851","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-02-03T05:34:36Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a8efec980cb4c5cee526b5a0cdd1a61680922b7f32f2b040cb9c05c92713c253","abstract_canon_sha256":"ffe2745fb27310c378f8a88c13b83cb4a200cc0157ecf81c0f28cca62e2cf234"},"schema_version":"1.0"},"canonical_sha256":"4b6e8ad0c1e06e1688c26cb5ef7ecf91b8cd9fbc572e5a0202e6cfe58569e8b1","source":{"kind":"arxiv","id":"1902.00851","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.00851","created_at":"2026-05-17T23:54:51Z"},{"alias_kind":"arxiv_version","alias_value":"1902.00851v1","created_at":"2026-05-17T23:54:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.00851","created_at":"2026-05-17T23:54:51Z"},{"alias_kind":"pith_short_12","alias_value":"JNXIVUGB4BXB","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"JNXIVUGB4BXBNCGC","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"JNXIVUGB","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:JNXIVUGB4BXBNCGCNS2667WPSG","target":"record","payload":{"canonical_record":{"source":{"id":"1902.00851","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-02-03T05:34:36Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"a8efec980cb4c5cee526b5a0cdd1a61680922b7f32f2b040cb9c05c92713c253","abstract_canon_sha256":"ffe2745fb27310c378f8a88c13b83cb4a200cc0157ecf81c0f28cca62e2cf234"},"schema_version":"1.0"},"canonical_sha256":"4b6e8ad0c1e06e1688c26cb5ef7ecf91b8cd9fbc572e5a0202e6cfe58569e8b1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:54:51.952231Z","signature_b64":"yDPnnVgBotDUSYHFXoKlOGwsF2jDPw8eRQkNOhycTJVkRSmMoRhj/FAtLggQX1pDCvup5k4mdYI4rTjxXVHcCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4b6e8ad0c1e06e1688c26cb5ef7ecf91b8cd9fbc572e5a0202e6cfe58569e8b1","last_reissued_at":"2026-05-17T23:54:51.951754Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:54:51.951754Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.00851","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:54:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h8jW49he7lnl/zhfvzodDJAmf2VCcuYJqlW5KjoOf1TuVgtNB1XrVDQBnflk7l9ztryCmSKf6LemT525MFLNCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T13:59:54.567238Z"},"content_sha256":"9541e9437c5757e9aa2e6afa722ed3b60955db149c4b2f255a90fd016701621c","schema_version":"1.0","event_id":"sha256:9541e9437c5757e9aa2e6afa722ed3b60955db149c4b2f255a90fd016701621c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:JNXIVUGB4BXBNCGCNS2667WPSG","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Changhua Pei, Fei Sun, Peng Jiang, Qing Cui, Wenwu Ou, Xiao Lin, Xinru Yang, Yongfeng Zhang","submitted_at":"2019-02-03T05:34:36Z","abstract_excerpt":"Existing recommendation algorithms mostly focus on optimizing traditional recommendation measures, such as the accuracy of rating prediction in terms of RMSE or the quality of top-$k$ recommendation lists in terms of precision, recall, MAP, etc. However, an important expectation for commercial recommendation systems is to improve the final revenue/profit of the system. Traditional recommendation targets such as rating prediction and top-$k$ recommendation are not directly related to this goal. In this work, we blend the fundamental concepts in online advertising and micro-economics into person"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.00851","kind":"arxiv","version":1},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:54:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Fxa0HpICM7q94O2CSP23y94cOBPb3xAqXONhh9uvH9XsodY6ErDu7m9ggqcbD7fskPIw0KG67mj58wAIT7FzAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T13:59:54.567639Z"},"content_sha256":"21df96023203d56dd409bfb160839e3ab8e41dbb98de865a3124de26264f558b","schema_version":"1.0","event_id":"sha256:21df96023203d56dd409bfb160839e3ab8e41dbb98de865a3124de26264f558b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JNXIVUGB4BXBNCGCNS2667WPSG/bundle.json","state_url":"https://pith.science/pith/JNXIVUGB4BXBNCGCNS2667WPSG/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JNXIVUGB4BXBNCGCNS2667WPSG/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-01T13:59:54Z","links":{"resolver":"https://pith.science/pith/JNXIVUGB4BXBNCGCNS2667WPSG","bundle":"https://pith.science/pith/JNXIVUGB4BXBNCGCNS2667WPSG/bundle.json","state":"https://pith.science/pith/JNXIVUGB4BXBNCGCNS2667WPSG/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JNXIVUGB4BXBNCGCNS2667WPSG/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:JNXIVUGB4BXBNCGCNS2667WPSG","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":"ffe2745fb27310c378f8a88c13b83cb4a200cc0157ecf81c0f28cca62e2cf234","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-02-03T05:34:36Z","title_canon_sha256":"a8efec980cb4c5cee526b5a0cdd1a61680922b7f32f2b040cb9c05c92713c253"},"schema_version":"1.0","source":{"id":"1902.00851","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.00851","created_at":"2026-05-17T23:54:51Z"},{"alias_kind":"arxiv_version","alias_value":"1902.00851v1","created_at":"2026-05-17T23:54:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.00851","created_at":"2026-05-17T23:54:51Z"},{"alias_kind":"pith_short_12","alias_value":"JNXIVUGB4BXB","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"JNXIVUGB4BXBNCGC","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"JNXIVUGB","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:21df96023203d56dd409bfb160839e3ab8e41dbb98de865a3124de26264f558b","target":"graph","created_at":"2026-05-17T23:54:51Z","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"},"paper":{"abstract_excerpt":"Existing recommendation algorithms mostly focus on optimizing traditional recommendation measures, such as the accuracy of rating prediction in terms of RMSE or the quality of top-$k$ recommendation lists in terms of precision, recall, MAP, etc. However, an important expectation for commercial recommendation systems is to improve the final revenue/profit of the system. Traditional recommendation targets such as rating prediction and top-$k$ recommendation are not directly related to this goal. In this work, we blend the fundamental concepts in online advertising and micro-economics into person","authors_text":"Changhua Pei, Fei Sun, Peng Jiang, Qing Cui, Wenwu Ou, Xiao Lin, Xinru Yang, Yongfeng Zhang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-02-03T05:34:36Z","title":"Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.00851","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":"sha256:9541e9437c5757e9aa2e6afa722ed3b60955db149c4b2f255a90fd016701621c","target":"record","created_at":"2026-05-17T23:54:51Z","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":"ffe2745fb27310c378f8a88c13b83cb4a200cc0157ecf81c0f28cca62e2cf234","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-02-03T05:34:36Z","title_canon_sha256":"a8efec980cb4c5cee526b5a0cdd1a61680922b7f32f2b040cb9c05c92713c253"},"schema_version":"1.0","source":{"id":"1902.00851","kind":"arxiv","version":1}},"canonical_sha256":"4b6e8ad0c1e06e1688c26cb5ef7ecf91b8cd9fbc572e5a0202e6cfe58569e8b1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b6e8ad0c1e06e1688c26cb5ef7ecf91b8cd9fbc572e5a0202e6cfe58569e8b1","first_computed_at":"2026-05-17T23:54:51.951754Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:54:51.951754Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yDPnnVgBotDUSYHFXoKlOGwsF2jDPw8eRQkNOhycTJVkRSmMoRhj/FAtLggQX1pDCvup5k4mdYI4rTjxXVHcCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:54:51.952231Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.00851","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9541e9437c5757e9aa2e6afa722ed3b60955db149c4b2f255a90fd016701621c","sha256:21df96023203d56dd409bfb160839e3ab8e41dbb98de865a3124de26264f558b"],"state_sha256":"cc10e8f75506b23043192535caa79da3fdecc1fcc2af2b7520b8cdec016760f3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kIrtehKS494/wELAhw6fZqWVyHAIttUXI9V+myWYT6jg0rzApyNSzUi05/SwQKOEIk5P5GWGKR0SwazrH1ITDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T13:59:54.569667Z","bundle_sha256":"722809ccbf0e3762a846cb5e02a34d6e3643497cc9ab287462f542ce69648758"}}