{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:XTZIBI3BABP5O3GXGA72465KM3","short_pith_number":"pith:XTZIBI3B","canonical_record":{"source":{"id":"1311.7679","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2013-11-29T20:01:10Z","cross_cats_sorted":[],"title_canon_sha256":"cdc48ae2896f2cf664a24bcf7a209551721da575ec41e5d09dbeedd50ef8096b","abstract_canon_sha256":"f54512cf4103c9aa8e59275ee5ec4be50aed1865859371dd3719bf3061a2faac"},"schema_version":"1.0"},"canonical_sha256":"bcf280a361005fd76cd7303fae7baa66e824e91039af1ad54838551195cc7c6e","source":{"kind":"arxiv","id":"1311.7679","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1311.7679","created_at":"2026-05-18T03:05:55Z"},{"alias_kind":"arxiv_version","alias_value":"1311.7679v1","created_at":"2026-05-18T03:05:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1311.7679","created_at":"2026-05-18T03:05:55Z"},{"alias_kind":"pith_short_12","alias_value":"XTZIBI3BABP5","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_16","alias_value":"XTZIBI3BABP5O3GX","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_8","alias_value":"XTZIBI3B","created_at":"2026-05-18T12:28:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:XTZIBI3BABP5O3GXGA72465KM3","target":"record","payload":{"canonical_record":{"source":{"id":"1311.7679","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2013-11-29T20:01:10Z","cross_cats_sorted":[],"title_canon_sha256":"cdc48ae2896f2cf664a24bcf7a209551721da575ec41e5d09dbeedd50ef8096b","abstract_canon_sha256":"f54512cf4103c9aa8e59275ee5ec4be50aed1865859371dd3719bf3061a2faac"},"schema_version":"1.0"},"canonical_sha256":"bcf280a361005fd76cd7303fae7baa66e824e91039af1ad54838551195cc7c6e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:05:55.607755Z","signature_b64":"jo22qgR4N1MxY5xq8yMjw7uLxhKWbIY4y4aKfDlZnUqSbQCLvNqq2yIeF+GkXf62biReIAmwRtquB9XeFIBpCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bcf280a361005fd76cd7303fae7baa66e824e91039af1ad54838551195cc7c6e","last_reissued_at":"2026-05-18T03:05:55.607252Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:05:55.607252Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1311.7679","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":"2026-05-18T03:05:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OKuKdkH/c0sWL68rEzbnOKBpj8IVC6THj8IuZKwZb/4yyhoAWmavqEjztZ3g4R2SEeFS5F7RR5pIi+GuPIS2CQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T09:27:28.540737Z"},"content_sha256":"96f41d5b048623f849c59e1b3f35d994c7759af09b5cf5dedfdf376dea01acec","schema_version":"1.0","event_id":"sha256:96f41d5b048623f849c59e1b3f35d994c7759af09b5cf5dedfdf376dea01acec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:XTZIBI3BABP5O3GXGA72465KM3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Bing Xu, Bin Wang, Hanxiao Sun, Liang Pang, Qiang Li, Qiang Yan, Xudong Liu, Yuyu Zhang","submitted_at":"2013-11-29T20:01:10Z","abstract_excerpt":"The ICDM Challenge 2013 is to apply machine learning to the problem of hotel ranking, aiming to maximize purchases according to given hotel characteristics, location attractiveness of hotels, user's aggregated purchase history and competitive online travel agency information for each potential hotel choice. This paper describes the solution of team \"binghsu & MLRush & BrickMover\". We conduct simple feature engineering work and train different models by each individual team member. Afterwards, we use listwise ensemble method to combine each model's output. Besides describing effective model and"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1311.7679","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":"2026-05-18T03:05:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"doMCNiEhb9OIA3y8E6iLA5ZBSt0lV0iuomhWpG/tGB3cr6m16d3Z50m9ML1tFhG9elma6r4utjRPOoe/UA0+Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T09:27:28.541344Z"},"content_sha256":"681a79f6d916b107401065d060f668d4f366582433a41b914d65f72fd73bae65","schema_version":"1.0","event_id":"sha256:681a79f6d916b107401065d060f668d4f366582433a41b914d65f72fd73bae65"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XTZIBI3BABP5O3GXGA72465KM3/bundle.json","state_url":"https://pith.science/pith/XTZIBI3BABP5O3GXGA72465KM3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XTZIBI3BABP5O3GXGA72465KM3/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":"2026-05-28T09:27:28Z","links":{"resolver":"https://pith.science/pith/XTZIBI3BABP5O3GXGA72465KM3","bundle":"https://pith.science/pith/XTZIBI3BABP5O3GXGA72465KM3/bundle.json","state":"https://pith.science/pith/XTZIBI3BABP5O3GXGA72465KM3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XTZIBI3BABP5O3GXGA72465KM3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:XTZIBI3BABP5O3GXGA72465KM3","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":"f54512cf4103c9aa8e59275ee5ec4be50aed1865859371dd3719bf3061a2faac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2013-11-29T20:01:10Z","title_canon_sha256":"cdc48ae2896f2cf664a24bcf7a209551721da575ec41e5d09dbeedd50ef8096b"},"schema_version":"1.0","source":{"id":"1311.7679","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1311.7679","created_at":"2026-05-18T03:05:55Z"},{"alias_kind":"arxiv_version","alias_value":"1311.7679v1","created_at":"2026-05-18T03:05:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1311.7679","created_at":"2026-05-18T03:05:55Z"},{"alias_kind":"pith_short_12","alias_value":"XTZIBI3BABP5","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_16","alias_value":"XTZIBI3BABP5O3GX","created_at":"2026-05-18T12:28:06Z"},{"alias_kind":"pith_short_8","alias_value":"XTZIBI3B","created_at":"2026-05-18T12:28:06Z"}],"graph_snapshots":[{"event_id":"sha256:681a79f6d916b107401065d060f668d4f366582433a41b914d65f72fd73bae65","target":"graph","created_at":"2026-05-18T03:05:55Z","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":"The ICDM Challenge 2013 is to apply machine learning to the problem of hotel ranking, aiming to maximize purchases according to given hotel characteristics, location attractiveness of hotels, user's aggregated purchase history and competitive online travel agency information for each potential hotel choice. This paper describes the solution of team \"binghsu & MLRush & BrickMover\". We conduct simple feature engineering work and train different models by each individual team member. Afterwards, we use listwise ensemble method to combine each model's output. Besides describing effective model and","authors_text":"Bing Xu, Bin Wang, Hanxiao Sun, Liang Pang, Qiang Li, Qiang Yan, Xudong Liu, Yuyu Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2013-11-29T20:01:10Z","title":"Combination of Diverse Ranking Models for Personalized Expedia Hotel Searches"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1311.7679","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":"sha256:96f41d5b048623f849c59e1b3f35d994c7759af09b5cf5dedfdf376dea01acec","target":"record","created_at":"2026-05-18T03:05:55Z","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":"f54512cf4103c9aa8e59275ee5ec4be50aed1865859371dd3719bf3061a2faac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2013-11-29T20:01:10Z","title_canon_sha256":"cdc48ae2896f2cf664a24bcf7a209551721da575ec41e5d09dbeedd50ef8096b"},"schema_version":"1.0","source":{"id":"1311.7679","kind":"arxiv","version":1}},"canonical_sha256":"bcf280a361005fd76cd7303fae7baa66e824e91039af1ad54838551195cc7c6e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bcf280a361005fd76cd7303fae7baa66e824e91039af1ad54838551195cc7c6e","first_computed_at":"2026-05-18T03:05:55.607252Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:05:55.607252Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jo22qgR4N1MxY5xq8yMjw7uLxhKWbIY4y4aKfDlZnUqSbQCLvNqq2yIeF+GkXf62biReIAmwRtquB9XeFIBpCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:05:55.607755Z","signed_message":"canonical_sha256_bytes"},"source_id":"1311.7679","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:96f41d5b048623f849c59e1b3f35d994c7759af09b5cf5dedfdf376dea01acec","sha256:681a79f6d916b107401065d060f668d4f366582433a41b914d65f72fd73bae65"],"state_sha256":"664dcd766e022b9f46039dbd08d28595b25b1ee11bde8b26cec98bcab60e12bc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WKyp2LMyGoDVqjSPVA65byJdddbfdTaOtNEtZD0qCbdt70MOQtBjCseOQf1TmCptc1y+pL/Bi2W5y7wClE2nDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T09:27:28.544095Z","bundle_sha256":"edf8837ca045f565127ac56accb1694dd877ba44fa9faca6a554eaf7f3ec1501"}}