{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:ZVDOVXITZ7KFDW6SE54PBFDPFZ","short_pith_number":"pith:ZVDOVXIT","canonical_record":{"source":{"id":"1809.02130","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-09-06T07:56:33Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"85194de7b563f76eb0df936d284a6b8d6d170537d4c1aa9e144c64912487c04b","abstract_canon_sha256":"61ac20d4a3c0ca7b378335b85bab8fff8bea3dc6113eb688b5d5a555663a3b87"},"schema_version":"1.0"},"canonical_sha256":"cd46eadd13cfd451dbd22778f0946f2e79c133383f435fa85c6753b1fd433c93","source":{"kind":"arxiv","id":"1809.02130","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.02130","created_at":"2026-05-18T00:06:17Z"},{"alias_kind":"arxiv_version","alias_value":"1809.02130v1","created_at":"2026-05-18T00:06:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.02130","created_at":"2026-05-18T00:06:17Z"},{"alias_kind":"pith_short_12","alias_value":"ZVDOVXITZ7KF","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"ZVDOVXITZ7KFDW6S","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"ZVDOVXIT","created_at":"2026-05-18T12:33:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:ZVDOVXITZ7KFDW6SE54PBFDPFZ","target":"record","payload":{"canonical_record":{"source":{"id":"1809.02130","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-09-06T07:56:33Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"85194de7b563f76eb0df936d284a6b8d6d170537d4c1aa9e144c64912487c04b","abstract_canon_sha256":"61ac20d4a3c0ca7b378335b85bab8fff8bea3dc6113eb688b5d5a555663a3b87"},"schema_version":"1.0"},"canonical_sha256":"cd46eadd13cfd451dbd22778f0946f2e79c133383f435fa85c6753b1fd433c93","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:06:17.858809Z","signature_b64":"usShWPEH4uj+KbKNPHHeQI0q0aUWEuQNp1xNZWL7Ec6kbPXmPjszo7Erp4Xj8wSYZBaNSp7MHraU1jQ5KTZeBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cd46eadd13cfd451dbd22778f0946f2e79c133383f435fa85c6753b1fd433c93","last_reissued_at":"2026-05-18T00:06:17.858419Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:06:17.858419Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1809.02130","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":"2026-05-18T00:06:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eHF4FLswn6R2yRS5B4k66r/Zu1BNHM6POkJYfQZzvg0yQt5R4L2z1tu88bxsaqHqoTrE8cNH2Cj9iRmXjhqsBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T01:13:44.677944Z"},"content_sha256":"ed3e610c42593a5a88d5e1b55e00c79682b9428fa0bc9299c09a9152cebd688f","schema_version":"1.0","event_id":"sha256:ed3e610c42593a5a88d5e1b55e00c79682b9428fa0bc9299c09a9152cebd688f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:ZVDOVXITZ7KFDW6SE54PBFDPFZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep neural network marketplace recommenders in online experiments","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.IR","authors_text":"Ning Zhou, Simen Eide","submitted_at":"2018-09-06T07:56:33Z","abstract_excerpt":"Recommendations are broadly used in marketplaces to match users with items relevant to their interests and needs. To understand user intent and tailor recommendations to their needs, we use deep learning to explore various heterogeneous data available in marketplaces. This paper focuses on the challenge of measuring recommender performance and summarizes the online experiment results with several promising types of deep neural network recommenders - hybrid item representation models combining features from user engagement and content, sequence-based models, and multi-armed bandit models that o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.02130","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":"2026-05-18T00:06:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"koVakbeUCv//xYZA+tiknD2B9Krj3tZO8AV7QBbVIKnCo9SxxfZDAeiY+ittZR+Ikaz441kZvLGedRUCWm2yDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T01:13:44.678302Z"},"content_sha256":"8f919b48a4e6f0fdc9fb76850305ddf21181d1199254c13377f199c16adea0c3","schema_version":"1.0","event_id":"sha256:8f919b48a4e6f0fdc9fb76850305ddf21181d1199254c13377f199c16adea0c3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZVDOVXITZ7KFDW6SE54PBFDPFZ/bundle.json","state_url":"https://pith.science/pith/ZVDOVXITZ7KFDW6SE54PBFDPFZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZVDOVXITZ7KFDW6SE54PBFDPFZ/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":"2026-05-31T01:13:44Z","links":{"resolver":"https://pith.science/pith/ZVDOVXITZ7KFDW6SE54PBFDPFZ","bundle":"https://pith.science/pith/ZVDOVXITZ7KFDW6SE54PBFDPFZ/bundle.json","state":"https://pith.science/pith/ZVDOVXITZ7KFDW6SE54PBFDPFZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZVDOVXITZ7KFDW6SE54PBFDPFZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:ZVDOVXITZ7KFDW6SE54PBFDPFZ","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":"61ac20d4a3c0ca7b378335b85bab8fff8bea3dc6113eb688b5d5a555663a3b87","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-09-06T07:56:33Z","title_canon_sha256":"85194de7b563f76eb0df936d284a6b8d6d170537d4c1aa9e144c64912487c04b"},"schema_version":"1.0","source":{"id":"1809.02130","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1809.02130","created_at":"2026-05-18T00:06:17Z"},{"alias_kind":"arxiv_version","alias_value":"1809.02130v1","created_at":"2026-05-18T00:06:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1809.02130","created_at":"2026-05-18T00:06:17Z"},{"alias_kind":"pith_short_12","alias_value":"ZVDOVXITZ7KF","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"ZVDOVXITZ7KFDW6S","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"ZVDOVXIT","created_at":"2026-05-18T12:33:07Z"}],"graph_snapshots":[{"event_id":"sha256:8f919b48a4e6f0fdc9fb76850305ddf21181d1199254c13377f199c16adea0c3","target":"graph","created_at":"2026-05-18T00:06:17Z","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":"Recommendations are broadly used in marketplaces to match users with items relevant to their interests and needs. To understand user intent and tailor recommendations to their needs, we use deep learning to explore various heterogeneous data available in marketplaces. This paper focuses on the challenge of measuring recommender performance and summarizes the online experiment results with several promising types of deep neural network recommenders - hybrid item representation models combining features from user engagement and content, sequence-based models, and multi-armed bandit models that o","authors_text":"Ning Zhou, Simen Eide","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-09-06T07:56:33Z","title":"Deep neural network marketplace recommenders in online experiments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1809.02130","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:ed3e610c42593a5a88d5e1b55e00c79682b9428fa0bc9299c09a9152cebd688f","target":"record","created_at":"2026-05-18T00:06:17Z","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":"61ac20d4a3c0ca7b378335b85bab8fff8bea3dc6113eb688b5d5a555663a3b87","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-09-06T07:56:33Z","title_canon_sha256":"85194de7b563f76eb0df936d284a6b8d6d170537d4c1aa9e144c64912487c04b"},"schema_version":"1.0","source":{"id":"1809.02130","kind":"arxiv","version":1}},"canonical_sha256":"cd46eadd13cfd451dbd22778f0946f2e79c133383f435fa85c6753b1fd433c93","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cd46eadd13cfd451dbd22778f0946f2e79c133383f435fa85c6753b1fd433c93","first_computed_at":"2026-05-18T00:06:17.858419Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:06:17.858419Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"usShWPEH4uj+KbKNPHHeQI0q0aUWEuQNp1xNZWL7Ec6kbPXmPjszo7Erp4Xj8wSYZBaNSp7MHraU1jQ5KTZeBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:06:17.858809Z","signed_message":"canonical_sha256_bytes"},"source_id":"1809.02130","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ed3e610c42593a5a88d5e1b55e00c79682b9428fa0bc9299c09a9152cebd688f","sha256:8f919b48a4e6f0fdc9fb76850305ddf21181d1199254c13377f199c16adea0c3"],"state_sha256":"abf41cf115a34ca08f143ce0845ef53b99f6ac487706012393be858887d21642"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8gP3deQuMdgHdeADEfmPO680jZh+yItEDPlErfAI2QkI2dk3whCiyIeVNsVQOIcVNWunyPMsPMmKbw0VoILABg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T01:13:44.680531Z","bundle_sha256":"fa7b0413ec78324086eb3cf53aff34ca0acae2cde296f0c8261d8556addbaa4e"}}