{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:6RVJMRPFP4NHXERFPOAGPXAOGW","short_pith_number":"pith:6RVJMRPF","schema_version":"1.0","canonical_sha256":"f46a9645e57f1a7b92257b8067dc0e358c69ba31ac3ced30b77f6c4f36c93708","source":{"kind":"arxiv","id":"2506.08531","version":1},"attestation_state":"computed","paper":{"title":"TSRec: Enhancing Repeat-Aware Recommendation from a Temporal-Sequential Perspective","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Fan Wu, Shigang Quan, Shui Liu, Zhenzhe Zheng","submitted_at":"2025-06-10T07:50:19Z","abstract_excerpt":"Repeat consumption, such as repurchasing items and relistening songs, is a common scenario in daily life. To model repeat consumption, the repeat-aware recommendation has been proposed to predict which item will be re-interacted based on the user-item interactions. In this paper, we investigate various inherent characteristics to enhance the repeat-aware recommendation. Specifically, we explore these characteristics from two aspects: one is from the temporal aspect where we consider the time interval relationship in the user behavior sequence; the other is from the sequential aspect where we c"},"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":"2506.08531","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2025-06-10T07:50:19Z","cross_cats_sorted":[],"title_canon_sha256":"90d5993f5d638eb4f11d763085b43625d9dbff50b9131943d578200e63bffff6","abstract_canon_sha256":"c540f050cf1079f15c9406d574f3b3aaa3ee097d1d7b5102aa37c59437f46c10"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:18:51.349766Z","signature_b64":"5fM3ijpq4E6ERA1YCEeAg1BOAe8PN6rVcIGlJPDkPh9amEW/F0OOeNktLKkw3EEDUh71j0Mq9jqwvUsKiehOBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f46a9645e57f1a7b92257b8067dc0e358c69ba31ac3ced30b77f6c4f36c93708","last_reissued_at":"2026-07-05T11:18:51.349259Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:18:51.349259Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"TSRec: Enhancing Repeat-Aware Recommendation from a Temporal-Sequential Perspective","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Fan Wu, Shigang Quan, Shui Liu, Zhenzhe Zheng","submitted_at":"2025-06-10T07:50:19Z","abstract_excerpt":"Repeat consumption, such as repurchasing items and relistening songs, is a common scenario in daily life. To model repeat consumption, the repeat-aware recommendation has been proposed to predict which item will be re-interacted based on the user-item interactions. In this paper, we investigate various inherent characteristics to enhance the repeat-aware recommendation. Specifically, we explore these characteristics from two aspects: one is from the temporal aspect where we consider the time interval relationship in the user behavior sequence; the other is from the sequential aspect where we c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.08531","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/2506.08531/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":"2506.08531","created_at":"2026-07-05T11:18:51.349323+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.08531v1","created_at":"2026-07-05T11:18:51.349323+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.08531","created_at":"2026-07-05T11:18:51.349323+00:00"},{"alias_kind":"pith_short_12","alias_value":"6RVJMRPFP4NH","created_at":"2026-07-05T11:18:51.349323+00:00"},{"alias_kind":"pith_short_16","alias_value":"6RVJMRPFP4NHXERF","created_at":"2026-07-05T11:18:51.349323+00:00"},{"alias_kind":"pith_short_8","alias_value":"6RVJMRPF","created_at":"2026-07-05T11:18:51.349323+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/6RVJMRPFP4NHXERFPOAGPXAOGW","json":"https://pith.science/pith/6RVJMRPFP4NHXERFPOAGPXAOGW.json","graph_json":"https://pith.science/api/pith-number/6RVJMRPFP4NHXERFPOAGPXAOGW/graph.json","events_json":"https://pith.science/api/pith-number/6RVJMRPFP4NHXERFPOAGPXAOGW/events.json","paper":"https://pith.science/paper/6RVJMRPF"},"agent_actions":{"view_html":"https://pith.science/pith/6RVJMRPFP4NHXERFPOAGPXAOGW","download_json":"https://pith.science/pith/6RVJMRPFP4NHXERFPOAGPXAOGW.json","view_paper":"https://pith.science/paper/6RVJMRPF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.08531&json=true","fetch_graph":"https://pith.science/api/pith-number/6RVJMRPFP4NHXERFPOAGPXAOGW/graph.json","fetch_events":"https://pith.science/api/pith-number/6RVJMRPFP4NHXERFPOAGPXAOGW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/6RVJMRPFP4NHXERFPOAGPXAOGW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/6RVJMRPFP4NHXERFPOAGPXAOGW/action/storage_attestation","attest_author":"https://pith.science/pith/6RVJMRPFP4NHXERFPOAGPXAOGW/action/author_attestation","sign_citation":"https://pith.science/pith/6RVJMRPFP4NHXERFPOAGPXAOGW/action/citation_signature","submit_replication":"https://pith.science/pith/6RVJMRPFP4NHXERFPOAGPXAOGW/action/replication_record"}},"created_at":"2026-07-05T11:18:51.349323+00:00","updated_at":"2026-07-05T11:18:51.349323+00:00"}