{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:7CZ4SLXOM77F26E3BCF2LPPKK3","short_pith_number":"pith:7CZ4SLXO","schema_version":"1.0","canonical_sha256":"f8b3c92eee67fe5d789b088ba5bdea56e2a7994c4653be5dcba90796235f1aa9","source":{"kind":"arxiv","id":"2308.15968","version":1},"attestation_state":"computed","paper":{"title":"Denoising Attention for Query-aware User Modeling in Personalized Search","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Elias Bassani, Gabriella Pasi, Pranav Kasela","submitted_at":"2023-08-30T11:45:35Z","abstract_excerpt":"The personalization of search results has gained increasing attention in the past few years, thanks to the development of Neural Networks-based approaches for Information Retrieval and the importance of personalization in many search scenarios. Recent works have proposed to build user models at query time by leveraging the Attention mechanism, which allows weighing the contribution of the user-related information w.r.t. the current query. This approach allows taking into account the diversity of the user's interests by giving more importance to those related to the current search performed by "},"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":"2308.15968","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-08-30T11:45:35Z","cross_cats_sorted":[],"title_canon_sha256":"9caa6b630fbcb6ed2518937013212eb7b525d4e9aaf66dee68dbdb4961b12ac3","abstract_canon_sha256":"a946e5135c45eaed781ea5e3cb44ab6b04ea5028bbf79945e3115a5a1c9206d9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:46:16.164819Z","signature_b64":"YDe8L/uraROfDO66SpboVGyQD/s1JVGg40sl75Ec1rNIRUKycR7T1uUWS+WOILD95Rlrl+TVglFmzsgUyr88CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f8b3c92eee67fe5d789b088ba5bdea56e2a7994c4653be5dcba90796235f1aa9","last_reissued_at":"2026-07-05T06:46:16.164370Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:46:16.164370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Denoising Attention for Query-aware User Modeling in Personalized Search","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Elias Bassani, Gabriella Pasi, Pranav Kasela","submitted_at":"2023-08-30T11:45:35Z","abstract_excerpt":"The personalization of search results has gained increasing attention in the past few years, thanks to the development of Neural Networks-based approaches for Information Retrieval and the importance of personalization in many search scenarios. Recent works have proposed to build user models at query time by leveraging the Attention mechanism, which allows weighing the contribution of the user-related information w.r.t. the current query. This approach allows taking into account the diversity of the user's interests by giving more importance to those related to the current search performed by "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.15968","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/2308.15968/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":"2308.15968","created_at":"2026-07-05T06:46:16.164428+00:00"},{"alias_kind":"arxiv_version","alias_value":"2308.15968v1","created_at":"2026-07-05T06:46:16.164428+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.15968","created_at":"2026-07-05T06:46:16.164428+00:00"},{"alias_kind":"pith_short_12","alias_value":"7CZ4SLXOM77F","created_at":"2026-07-05T06:46:16.164428+00:00"},{"alias_kind":"pith_short_16","alias_value":"7CZ4SLXOM77F26E3","created_at":"2026-07-05T06:46:16.164428+00:00"},{"alias_kind":"pith_short_8","alias_value":"7CZ4SLXO","created_at":"2026-07-05T06:46:16.164428+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/7CZ4SLXOM77F26E3BCF2LPPKK3","json":"https://pith.science/pith/7CZ4SLXOM77F26E3BCF2LPPKK3.json","graph_json":"https://pith.science/api/pith-number/7CZ4SLXOM77F26E3BCF2LPPKK3/graph.json","events_json":"https://pith.science/api/pith-number/7CZ4SLXOM77F26E3BCF2LPPKK3/events.json","paper":"https://pith.science/paper/7CZ4SLXO"},"agent_actions":{"view_html":"https://pith.science/pith/7CZ4SLXOM77F26E3BCF2LPPKK3","download_json":"https://pith.science/pith/7CZ4SLXOM77F26E3BCF2LPPKK3.json","view_paper":"https://pith.science/paper/7CZ4SLXO","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2308.15968&json=true","fetch_graph":"https://pith.science/api/pith-number/7CZ4SLXOM77F26E3BCF2LPPKK3/graph.json","fetch_events":"https://pith.science/api/pith-number/7CZ4SLXOM77F26E3BCF2LPPKK3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7CZ4SLXOM77F26E3BCF2LPPKK3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7CZ4SLXOM77F26E3BCF2LPPKK3/action/storage_attestation","attest_author":"https://pith.science/pith/7CZ4SLXOM77F26E3BCF2LPPKK3/action/author_attestation","sign_citation":"https://pith.science/pith/7CZ4SLXOM77F26E3BCF2LPPKK3/action/citation_signature","submit_replication":"https://pith.science/pith/7CZ4SLXOM77F26E3BCF2LPPKK3/action/replication_record"}},"created_at":"2026-07-05T06:46:16.164428+00:00","updated_at":"2026-07-05T06:46:16.164428+00:00"}