{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:LC3JX4ZCPYCWO22UN4SN3JV5UF","short_pith_number":"pith:LC3JX4ZC","canonical_record":{"source":{"id":"1907.02822","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-07-03T11:28:23Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"4c9ceee4bad36a96541f2c6557d182c4a223d50f06ddb1f1530164ff9f9afcd3","abstract_canon_sha256":"a88ec66b741e009319d9a919a735ae07a6535a5b2a886004e125e825acd55df7"},"schema_version":"1.0"},"canonical_sha256":"58b69bf3227e05676b546f24dda6bda1606d64a2ab1f46b65939e157cc03c543","source":{"kind":"arxiv","id":"1907.02822","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.02822","created_at":"2026-05-17T23:41:00Z"},{"alias_kind":"arxiv_version","alias_value":"1907.02822v2","created_at":"2026-05-17T23:41:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.02822","created_at":"2026-05-17T23:41:00Z"},{"alias_kind":"pith_short_12","alias_value":"LC3JX4ZCPYCW","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"LC3JX4ZCPYCWO22U","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"LC3JX4ZC","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:LC3JX4ZCPYCWO22UN4SN3JV5UF","target":"record","payload":{"canonical_record":{"source":{"id":"1907.02822","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-07-03T11:28:23Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"4c9ceee4bad36a96541f2c6557d182c4a223d50f06ddb1f1530164ff9f9afcd3","abstract_canon_sha256":"a88ec66b741e009319d9a919a735ae07a6535a5b2a886004e125e825acd55df7"},"schema_version":"1.0"},"canonical_sha256":"58b69bf3227e05676b546f24dda6bda1606d64a2ab1f46b65939e157cc03c543","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:41:00.489090Z","signature_b64":"aUyFPMc+mEXSzutgmYk7ZadXKccbEibZtuUyXxGfOvxU/KiSgIuMDrHGig7YVMRYpu1lEIBFYwMkDaSP6ffyDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"58b69bf3227e05676b546f24dda6bda1606d64a2ab1f46b65939e157cc03c543","last_reissued_at":"2026-05-17T23:41:00.488598Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:41:00.488598Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.02822","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:41:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N5JulJbdDdu+a+JDhx7u4APUAdIxaVfOVuK/XwGMglLtO4GPz3tvbJ1vGSsdyqt7DT7hS3w0sRK2rxg2oOssBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T22:49:44.332878Z"},"content_sha256":"ea73be00da10ae3c076ecc541ccb4d9b1d2e3db660f6b3adbc4309fdbffdfa7b","schema_version":"1.0","event_id":"sha256:ea73be00da10ae3c076ecc541ccb4d9b1d2e3db660f6b3adbc4309fdbffdfa7b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:LC3JX4ZCPYCWO22UN4SN3JV5UF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Personalized Re-targeting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Meisam Hejazinia, Pavlos Mitsoulis-Ntompos, Serena Zhang","submitted_at":"2019-07-03T11:28:23Z","abstract_excerpt":"Predicting booking probability and value at the traveler level plays a central role in computational advertising for massive two-sided vacation rental marketplaces. These marketplaces host millions of travelers with long shopping cycles, spending a lot of time in the discovery phase. The footprint of the travelers in their discovery is a useful data source to help these marketplaces to predict shopping probability and value. However, there is no one-size-fits-all solution for this purpose. In this paper, we propose a hybrid model that infuses deep and shallow neural network embeddings into a g"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.02822","kind":"arxiv","version":2},"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":"2026-05-17T23:41:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A/kE7UZIEKIgoY4xrKH0M1WDi4UCGHrYLTTdHUaccnCUw6U7UDJHdlw05pETGZTOEzqzqAJhmh4XU9OGsrjmAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T22:49:44.333632Z"},"content_sha256":"70722883f466751660192ee288c44b65fe1d808cee62bf03d586ea31d0c57b0f","schema_version":"1.0","event_id":"sha256:70722883f466751660192ee288c44b65fe1d808cee62bf03d586ea31d0c57b0f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LC3JX4ZCPYCWO22UN4SN3JV5UF/bundle.json","state_url":"https://pith.science/pith/LC3JX4ZCPYCWO22UN4SN3JV5UF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LC3JX4ZCPYCWO22UN4SN3JV5UF/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":"2026-06-06T22:49:44Z","links":{"resolver":"https://pith.science/pith/LC3JX4ZCPYCWO22UN4SN3JV5UF","bundle":"https://pith.science/pith/LC3JX4ZCPYCWO22UN4SN3JV5UF/bundle.json","state":"https://pith.science/pith/LC3JX4ZCPYCWO22UN4SN3JV5UF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LC3JX4ZCPYCWO22UN4SN3JV5UF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:LC3JX4ZCPYCWO22UN4SN3JV5UF","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":"a88ec66b741e009319d9a919a735ae07a6535a5b2a886004e125e825acd55df7","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-07-03T11:28:23Z","title_canon_sha256":"4c9ceee4bad36a96541f2c6557d182c4a223d50f06ddb1f1530164ff9f9afcd3"},"schema_version":"1.0","source":{"id":"1907.02822","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.02822","created_at":"2026-05-17T23:41:00Z"},{"alias_kind":"arxiv_version","alias_value":"1907.02822v2","created_at":"2026-05-17T23:41:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.02822","created_at":"2026-05-17T23:41:00Z"},{"alias_kind":"pith_short_12","alias_value":"LC3JX4ZCPYCW","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"LC3JX4ZCPYCWO22U","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"LC3JX4ZC","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:70722883f466751660192ee288c44b65fe1d808cee62bf03d586ea31d0c57b0f","target":"graph","created_at":"2026-05-17T23:41:00Z","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":"Predicting booking probability and value at the traveler level plays a central role in computational advertising for massive two-sided vacation rental marketplaces. These marketplaces host millions of travelers with long shopping cycles, spending a lot of time in the discovery phase. The footprint of the travelers in their discovery is a useful data source to help these marketplaces to predict shopping probability and value. However, there is no one-size-fits-all solution for this purpose. In this paper, we propose a hybrid model that infuses deep and shallow neural network embeddings into a g","authors_text":"Meisam Hejazinia, Pavlos Mitsoulis-Ntompos, Serena Zhang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-07-03T11:28:23Z","title":"Deep Personalized Re-targeting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.02822","kind":"arxiv","version":2},"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:ea73be00da10ae3c076ecc541ccb4d9b1d2e3db660f6b3adbc4309fdbffdfa7b","target":"record","created_at":"2026-05-17T23:41:00Z","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":"a88ec66b741e009319d9a919a735ae07a6535a5b2a886004e125e825acd55df7","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-07-03T11:28:23Z","title_canon_sha256":"4c9ceee4bad36a96541f2c6557d182c4a223d50f06ddb1f1530164ff9f9afcd3"},"schema_version":"1.0","source":{"id":"1907.02822","kind":"arxiv","version":2}},"canonical_sha256":"58b69bf3227e05676b546f24dda6bda1606d64a2ab1f46b65939e157cc03c543","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"58b69bf3227e05676b546f24dda6bda1606d64a2ab1f46b65939e157cc03c543","first_computed_at":"2026-05-17T23:41:00.488598Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:41:00.488598Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aUyFPMc+mEXSzutgmYk7ZadXKccbEibZtuUyXxGfOvxU/KiSgIuMDrHGig7YVMRYpu1lEIBFYwMkDaSP6ffyDA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:41:00.489090Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.02822","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea73be00da10ae3c076ecc541ccb4d9b1d2e3db660f6b3adbc4309fdbffdfa7b","sha256:70722883f466751660192ee288c44b65fe1d808cee62bf03d586ea31d0c57b0f"],"state_sha256":"c8a47f53e65ed4d4973c95c917a5c28dbae053cabff1d0acef1daa46fdaeb6cd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gw7d+uVcCVL//bnvC/vAytgID3xwJewkew5VT1rkcrrQxmu00ZhHQdepcSspezOKhdnSmkFjivwxyF2/eKeGDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T22:49:44.337552Z","bundle_sha256":"2f3155b074165a7927e286d16b2256823e73e4611b3f3062d9fd64c42d209bbf"}}