{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:DTGWBYO35KTDUDS4NYB4VW7OWT","short_pith_number":"pith:DTGWBYO3","schema_version":"1.0","canonical_sha256":"1ccd60e1dbeaa63a0e5c6e03cadbeeb4d4c82f1620a3d918039027d52feccfdb","source":{"kind":"arxiv","id":"1804.07958","version":1},"attestation_state":"computed","paper":{"title":"Expert Finding in Community Question Answering: A Review","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.IR","authors_text":"Jie Tang, Juan Bautista Cabot\\`a, Sha Yuan, Yu Zhang","submitted_at":"2018-04-21T12:37:45Z","abstract_excerpt":"The rapid development recently of Community Question Answering (CQA) satisfies users quest for professional and personal knowledge about anything. In CQA, one central issue is to find users with expertise and willingness to answer the given questions. Expert finding in CQA often exhibits very different challenges compared to traditional methods. Sparse data and new features violate fundamental assumptions of traditional recommendation systems. This paper focuses on reviewing and categorizing the current progress on expert finding in CQA. We classify all the existing solutions into four differe"},"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":"1804.07958","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-04-21T12:37:45Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"ac152a831b24361ebdd294b5a2d3b77d8900e401e510f2eb5b3b8d7956a27a0b","abstract_canon_sha256":"6137711fdea9d4bd3c2262f0ee230a95fa95636ed0e975305ebe515b0fe2e696"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:17:50.045961Z","signature_b64":"rHxgwIkFwM2+UryheI2yvi18QttC9D30UY7qNvZjg9lh6jv0+kUaciYyy7KTwJ5KPlHyLBB3ZlKX051xuVU4Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1ccd60e1dbeaa63a0e5c6e03cadbeeb4d4c82f1620a3d918039027d52feccfdb","last_reissued_at":"2026-05-18T00:17:50.045323Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:17:50.045323Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Expert Finding in Community Question Answering: A Review","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.IR","authors_text":"Jie Tang, Juan Bautista Cabot\\`a, Sha Yuan, Yu Zhang","submitted_at":"2018-04-21T12:37:45Z","abstract_excerpt":"The rapid development recently of Community Question Answering (CQA) satisfies users quest for professional and personal knowledge about anything. In CQA, one central issue is to find users with expertise and willingness to answer the given questions. Expert finding in CQA often exhibits very different challenges compared to traditional methods. Sparse data and new features violate fundamental assumptions of traditional recommendation systems. This paper focuses on reviewing and categorizing the current progress on expert finding in CQA. We classify all the existing solutions into four differe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.07958","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":"1804.07958","created_at":"2026-05-18T00:17:50.045413+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.07958v1","created_at":"2026-05-18T00:17:50.045413+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.07958","created_at":"2026-05-18T00:17:50.045413+00:00"},{"alias_kind":"pith_short_12","alias_value":"DTGWBYO35KTD","created_at":"2026-05-18T12:32:19.392346+00:00"},{"alias_kind":"pith_short_16","alias_value":"DTGWBYO35KTDUDS4","created_at":"2026-05-18T12:32:19.392346+00:00"},{"alias_kind":"pith_short_8","alias_value":"DTGWBYO3","created_at":"2026-05-18T12:32:19.392346+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/DTGWBYO35KTDUDS4NYB4VW7OWT","json":"https://pith.science/pith/DTGWBYO35KTDUDS4NYB4VW7OWT.json","graph_json":"https://pith.science/api/pith-number/DTGWBYO35KTDUDS4NYB4VW7OWT/graph.json","events_json":"https://pith.science/api/pith-number/DTGWBYO35KTDUDS4NYB4VW7OWT/events.json","paper":"https://pith.science/paper/DTGWBYO3"},"agent_actions":{"view_html":"https://pith.science/pith/DTGWBYO35KTDUDS4NYB4VW7OWT","download_json":"https://pith.science/pith/DTGWBYO35KTDUDS4NYB4VW7OWT.json","view_paper":"https://pith.science/paper/DTGWBYO3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.07958&json=true","fetch_graph":"https://pith.science/api/pith-number/DTGWBYO35KTDUDS4NYB4VW7OWT/graph.json","fetch_events":"https://pith.science/api/pith-number/DTGWBYO35KTDUDS4NYB4VW7OWT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DTGWBYO35KTDUDS4NYB4VW7OWT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DTGWBYO35KTDUDS4NYB4VW7OWT/action/storage_attestation","attest_author":"https://pith.science/pith/DTGWBYO35KTDUDS4NYB4VW7OWT/action/author_attestation","sign_citation":"https://pith.science/pith/DTGWBYO35KTDUDS4NYB4VW7OWT/action/citation_signature","submit_replication":"https://pith.science/pith/DTGWBYO35KTDUDS4NYB4VW7OWT/action/replication_record"}},"created_at":"2026-05-18T00:17:50.045413+00:00","updated_at":"2026-05-18T00:17:50.045413+00:00"}