{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:3JIUBEVBOSGIVFW4AWLG2BHKVT","short_pith_number":"pith:3JIUBEVB","schema_version":"1.0","canonical_sha256":"da514092a1748c8a96dc05966d04eaacdbd3f76c985d577a7156ca1bea783aa1","source":{"kind":"arxiv","id":"1906.02329","version":1},"attestation_state":"computed","paper":{"title":"Context Attentive Document Ranking and Query Suggestion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Hongning Wang, Kai-Wei Chang, Wasi Uddin Ahmad","submitted_at":"2019-06-05T22:05:36Z","abstract_excerpt":"We present a context-aware neural ranking model to exploit users' on-task search activities and enhance retrieval performance. In particular, a two-level hierarchical recurrent neural network is introduced to learn search context representation of individual queries, search tasks, and corresponding dependency structure by jointly optimizing two companion retrieval tasks: document ranking and query suggestion. To identify the variable dependency structure between search context and users' ongoing search activities, attention at both levels of recurrent states are introduced. Extensive experimen"},"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":"1906.02329","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-06-05T22:05:36Z","cross_cats_sorted":[],"title_canon_sha256":"c18ac32f9256cfdaea9dfec38c1fdd8426514c27ee875b117a983e4d8800096b","abstract_canon_sha256":"ef961e16dc66157cd75bf61ec3632e34a5e68d80e7a3cbc89a4384b676ed3696"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:01.589994Z","signature_b64":"N4UrQ8Xb3FQ2P1PcVqOmFz6na1PbJzkKQcq7rZfODfu3KI3al3amhkhh3oq54aVGCeAfDLJq/Orob5xIGhAhCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"da514092a1748c8a96dc05966d04eaacdbd3f76c985d577a7156ca1bea783aa1","last_reissued_at":"2026-05-17T23:44:01.589418Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:01.589418Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Context Attentive Document Ranking and Query Suggestion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Hongning Wang, Kai-Wei Chang, Wasi Uddin Ahmad","submitted_at":"2019-06-05T22:05:36Z","abstract_excerpt":"We present a context-aware neural ranking model to exploit users' on-task search activities and enhance retrieval performance. In particular, a two-level hierarchical recurrent neural network is introduced to learn search context representation of individual queries, search tasks, and corresponding dependency structure by jointly optimizing two companion retrieval tasks: document ranking and query suggestion. To identify the variable dependency structure between search context and users' ongoing search activities, attention at both levels of recurrent states are introduced. Extensive experimen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.02329","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1906.02329","created_at":"2026-05-17T23:44:01.589503+00:00"},{"alias_kind":"arxiv_version","alias_value":"1906.02329v1","created_at":"2026-05-17T23:44:01.589503+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.02329","created_at":"2026-05-17T23:44:01.589503+00:00"},{"alias_kind":"pith_short_12","alias_value":"3JIUBEVBOSGI","created_at":"2026-05-18T12:33:07.085635+00:00"},{"alias_kind":"pith_short_16","alias_value":"3JIUBEVBOSGIVFW4","created_at":"2026-05-18T12:33:07.085635+00:00"},{"alias_kind":"pith_short_8","alias_value":"3JIUBEVB","created_at":"2026-05-18T12:33:07.085635+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/3JIUBEVBOSGIVFW4AWLG2BHKVT","json":"https://pith.science/pith/3JIUBEVBOSGIVFW4AWLG2BHKVT.json","graph_json":"https://pith.science/api/pith-number/3JIUBEVBOSGIVFW4AWLG2BHKVT/graph.json","events_json":"https://pith.science/api/pith-number/3JIUBEVBOSGIVFW4AWLG2BHKVT/events.json","paper":"https://pith.science/paper/3JIUBEVB"},"agent_actions":{"view_html":"https://pith.science/pith/3JIUBEVBOSGIVFW4AWLG2BHKVT","download_json":"https://pith.science/pith/3JIUBEVBOSGIVFW4AWLG2BHKVT.json","view_paper":"https://pith.science/paper/3JIUBEVB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1906.02329&json=true","fetch_graph":"https://pith.science/api/pith-number/3JIUBEVBOSGIVFW4AWLG2BHKVT/graph.json","fetch_events":"https://pith.science/api/pith-number/3JIUBEVBOSGIVFW4AWLG2BHKVT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3JIUBEVBOSGIVFW4AWLG2BHKVT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3JIUBEVBOSGIVFW4AWLG2BHKVT/action/storage_attestation","attest_author":"https://pith.science/pith/3JIUBEVBOSGIVFW4AWLG2BHKVT/action/author_attestation","sign_citation":"https://pith.science/pith/3JIUBEVBOSGIVFW4AWLG2BHKVT/action/citation_signature","submit_replication":"https://pith.science/pith/3JIUBEVBOSGIVFW4AWLG2BHKVT/action/replication_record"}},"created_at":"2026-05-17T23:44:01.589503+00:00","updated_at":"2026-05-17T23:44:01.589503+00:00"}