{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:GDVE7A7PZHXN3QCNORJOW3IAH6","short_pith_number":"pith:GDVE7A7P","schema_version":"1.0","canonical_sha256":"30ea4f83efc9eeddc04d7452eb6d003fbb8864284ef93b74f42b239cf9813085","source":{"kind":"arxiv","id":"1909.04493","version":1},"attestation_state":"computed","paper":{"title":"Context-aware Deep Model for Entity Recommendation in Search Engine at Alibaba","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG"],"primary_cat":"cs.IR","authors_text":"Nengwei Hua, Ningyu Zhang, Qianghuai Jia","submitted_at":"2019-09-06T07:47:20Z","abstract_excerpt":"Entity recommendation, providing search users with an improved experience via assisting them in finding related entities for a given query, has become an indispensable feature of today's search engines. Existing studies typically only consider the queries with explicit entities. They usually fail to handle complex queries that without entities, such as \"what food is good for cold weather\", because their models could not infer the underlying meaning of the input text. In this work, we believe that contexts convey valuable evidence that could facilitate the semantic modeling of queries, and take"},"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":"1909.04493","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-09-06T07:47:20Z","cross_cats_sorted":["cs.AI","cs.CL","cs.LG"],"title_canon_sha256":"e9cd8f70a049239e87e5e5c2783170764b2fb8879b5fe79941440cf8bcae2026","abstract_canon_sha256":"70140ded753aea04cc11e4cc381b68ac7f7a95bc1b9156e5732a74f03688a177"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:35:40.128454Z","signature_b64":"i+e+xb9BeOkR7k8eWPjwLkBbeacpfnw7q1Nbut2aj8upXz/U5T+TYkVJT+cm5WQ1CaVaHzniZMvi78E/6xlzDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"30ea4f83efc9eeddc04d7452eb6d003fbb8864284ef93b74f42b239cf9813085","last_reissued_at":"2026-07-05T05:35:40.128030Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:35:40.128030Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Context-aware Deep Model for Entity Recommendation in Search Engine at Alibaba","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","cs.LG"],"primary_cat":"cs.IR","authors_text":"Nengwei Hua, Ningyu Zhang, Qianghuai Jia","submitted_at":"2019-09-06T07:47:20Z","abstract_excerpt":"Entity recommendation, providing search users with an improved experience via assisting them in finding related entities for a given query, has become an indispensable feature of today's search engines. Existing studies typically only consider the queries with explicit entities. They usually fail to handle complex queries that without entities, such as \"what food is good for cold weather\", because their models could not infer the underlying meaning of the input text. In this work, we believe that contexts convey valuable evidence that could facilitate the semantic modeling of queries, and take"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.04493","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/1909.04493/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"1909.04493","created_at":"2026-07-05T05:35:40.128086+00:00"},{"alias_kind":"arxiv_version","alias_value":"1909.04493v1","created_at":"2026-07-05T05:35:40.128086+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.04493","created_at":"2026-07-05T05:35:40.128086+00:00"},{"alias_kind":"pith_short_12","alias_value":"GDVE7A7PZHXN","created_at":"2026-07-05T05:35:40.128086+00:00"},{"alias_kind":"pith_short_16","alias_value":"GDVE7A7PZHXN3QCN","created_at":"2026-07-05T05:35:40.128086+00:00"},{"alias_kind":"pith_short_8","alias_value":"GDVE7A7P","created_at":"2026-07-05T05:35:40.128086+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/GDVE7A7PZHXN3QCNORJOW3IAH6","json":"https://pith.science/pith/GDVE7A7PZHXN3QCNORJOW3IAH6.json","graph_json":"https://pith.science/api/pith-number/GDVE7A7PZHXN3QCNORJOW3IAH6/graph.json","events_json":"https://pith.science/api/pith-number/GDVE7A7PZHXN3QCNORJOW3IAH6/events.json","paper":"https://pith.science/paper/GDVE7A7P"},"agent_actions":{"view_html":"https://pith.science/pith/GDVE7A7PZHXN3QCNORJOW3IAH6","download_json":"https://pith.science/pith/GDVE7A7PZHXN3QCNORJOW3IAH6.json","view_paper":"https://pith.science/paper/GDVE7A7P","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1909.04493&json=true","fetch_graph":"https://pith.science/api/pith-number/GDVE7A7PZHXN3QCNORJOW3IAH6/graph.json","fetch_events":"https://pith.science/api/pith-number/GDVE7A7PZHXN3QCNORJOW3IAH6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GDVE7A7PZHXN3QCNORJOW3IAH6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GDVE7A7PZHXN3QCNORJOW3IAH6/action/storage_attestation","attest_author":"https://pith.science/pith/GDVE7A7PZHXN3QCNORJOW3IAH6/action/author_attestation","sign_citation":"https://pith.science/pith/GDVE7A7PZHXN3QCNORJOW3IAH6/action/citation_signature","submit_replication":"https://pith.science/pith/GDVE7A7PZHXN3QCNORJOW3IAH6/action/replication_record"}},"created_at":"2026-07-05T05:35:40.128086+00:00","updated_at":"2026-07-05T05:35:40.128086+00:00"}