{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:QMEMIMTGHIF76Y6OJO2PRKLLLX","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":"2fa4178574756cd94175dbfd9c2864a129c9f200d91206b0998277e38cac59bc","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2021-04-23T18:04:44Z","title_canon_sha256":"6f6dda4499767f4fa1eccb9105d667e3fc430aa94d670d78b442528dd108430f"},"schema_version":"1.0","source":{"id":"2104.11760","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.11760","created_at":"2026-07-05T02:38:34Z"},{"alias_kind":"arxiv_version","alias_value":"2104.11760v2","created_at":"2026-07-05T02:38:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.11760","created_at":"2026-07-05T02:38:34Z"},{"alias_kind":"pith_short_12","alias_value":"QMEMIMTGHIF7","created_at":"2026-07-05T02:38:34Z"},{"alias_kind":"pith_short_16","alias_value":"QMEMIMTGHIF76Y6O","created_at":"2026-07-05T02:38:34Z"},{"alias_kind":"pith_short_8","alias_value":"QMEMIMTG","created_at":"2026-07-05T02:38:34Z"}],"graph_snapshots":[{"event_id":"sha256:a367d3663b12a671d8270ea88a86f7a7fff96f80087a678dc0f4054ceaabb453","target":"graph","created_at":"2026-07-05T02:38:34Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2104.11760/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mapping a search query to a set of relevant categories in the product taxonomy is a significant challenge in e-commerce search for two reasons: 1) Training data exhibits severe class imbalance problem due to biased click behavior, and 2) queries with little customer feedback (e.g., tail queries) are not well-represented in the training set, and cause difficulties for query understanding. To address these problems, we propose a deep learning model, DeepCAT, which learns joint word-category representations to enhance the query understanding process. We believe learning category interactions help","authors_text":"Ali Ahmadvand, Eugene Agichtein, Faizan Javed, Surya Kallumadi","cross_cats":["cs.CL","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2021-04-23T18:04:44Z","title":"DeepCAT: Deep Category Representation for Query Understanding in E-commerce Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.11760","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":"sha256:6a97176b47377a762befa3d0f76405524ce51bae9bf30d25a741a624dc8ea455","target":"record","created_at":"2026-07-05T02:38:34Z","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":"2fa4178574756cd94175dbfd9c2864a129c9f200d91206b0998277e38cac59bc","cross_cats_sorted":["cs.CL","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2021-04-23T18:04:44Z","title_canon_sha256":"6f6dda4499767f4fa1eccb9105d667e3fc430aa94d670d78b442528dd108430f"},"schema_version":"1.0","source":{"id":"2104.11760","kind":"arxiv","version":2}},"canonical_sha256":"8308c432663a0bff63ce4bb4f8a96b5de0fa8981bcd68d58644eff91ff6902fd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8308c432663a0bff63ce4bb4f8a96b5de0fa8981bcd68d58644eff91ff6902fd","first_computed_at":"2026-07-05T02:38:34.355756Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:38:34.355756Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QaUOGtJZy0JT3ZIzfaznfiF3O6NWKsmwUatjIC+bdHlEOdIn+ZVQN1sTT1R+9l0pKU2R6SIkqGZU5JNXg3u3Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:38:34.356253Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.11760","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6a97176b47377a762befa3d0f76405524ce51bae9bf30d25a741a624dc8ea455","sha256:a367d3663b12a671d8270ea88a86f7a7fff96f80087a678dc0f4054ceaabb453"],"state_sha256":"57c4856ea664338b739b3cfda144ef84513951d176fc1564d7ad8609c503644f"}