{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:PZO3EZREMIL2UPKLXZBC5VLOEG","short_pith_number":"pith:PZO3EZRE","schema_version":"1.0","canonical_sha256":"7e5db266246217aa3d4bbe422ed56e21ae50927f494ce8b288dbae2b1fc590d0","source":{"kind":"arxiv","id":"2103.16104","version":2},"attestation_state":"computed","paper":{"title":"Session-aware Linear Item-Item Models for Session-based Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Hyunjung Shim, Jinhong Kim, Jongwuk Lee, Joonseok Lee, Minjin Choi","submitted_at":"2021-03-30T06:28:40Z","abstract_excerpt":"Session-based recommendation aims at predicting the next item given a sequence of previous items consumed in the session, e.g., on e-commerce or multimedia streaming services. Specifically, session data exhibits some unique characteristics, i.e., session consistency and sequential dependency over items within the session, repeated item consumption, and session timeliness. In this paper, we propose simple-yet-effective linear models for considering the holistic aspects of the sessions. The comprehensive nature of our models helps improve the quality of session-based recommendation. More importa"},"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":"2103.16104","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2021-03-30T06:28:40Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"233b66a2f3040b7d1ba83325a374fbd62703c15f61e7ed7959c80b8985f0ac13","abstract_canon_sha256":"da264ac22a3d5c447edbfe00f01fc34af3b81fb54f4960be250a796dfaf03677"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:52:15.820436Z","signature_b64":"rQ+r0+/3dR8IEoJ6B9K9LVVjxSXmodixa7sCJaZIKLBW8mU270wo2sW6jr1k0c3IRvnrgiGTu9Zshb6zcIJgAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7e5db266246217aa3d4bbe422ed56e21ae50927f494ce8b288dbae2b1fc590d0","last_reissued_at":"2026-07-05T02:52:15.819969Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:52:15.819969Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Session-aware Linear Item-Item Models for Session-based Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Hyunjung Shim, Jinhong Kim, Jongwuk Lee, Joonseok Lee, Minjin Choi","submitted_at":"2021-03-30T06:28:40Z","abstract_excerpt":"Session-based recommendation aims at predicting the next item given a sequence of previous items consumed in the session, e.g., on e-commerce or multimedia streaming services. Specifically, session data exhibits some unique characteristics, i.e., session consistency and sequential dependency over items within the session, repeated item consumption, and session timeliness. In this paper, we propose simple-yet-effective linear models for considering the holistic aspects of the sessions. The comprehensive nature of our models helps improve the quality of session-based recommendation. More importa"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.16104","kind":"arxiv","version":2},"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/2103.16104/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":"2103.16104","created_at":"2026-07-05T02:52:15.820023+00:00"},{"alias_kind":"arxiv_version","alias_value":"2103.16104v2","created_at":"2026-07-05T02:52:15.820023+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.16104","created_at":"2026-07-05T02:52:15.820023+00:00"},{"alias_kind":"pith_short_12","alias_value":"PZO3EZREMIL2","created_at":"2026-07-05T02:52:15.820023+00:00"},{"alias_kind":"pith_short_16","alias_value":"PZO3EZREMIL2UPKL","created_at":"2026-07-05T02:52:15.820023+00:00"},{"alias_kind":"pith_short_8","alias_value":"PZO3EZRE","created_at":"2026-07-05T02:52:15.820023+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/PZO3EZREMIL2UPKLXZBC5VLOEG","json":"https://pith.science/pith/PZO3EZREMIL2UPKLXZBC5VLOEG.json","graph_json":"https://pith.science/api/pith-number/PZO3EZREMIL2UPKLXZBC5VLOEG/graph.json","events_json":"https://pith.science/api/pith-number/PZO3EZREMIL2UPKLXZBC5VLOEG/events.json","paper":"https://pith.science/paper/PZO3EZRE"},"agent_actions":{"view_html":"https://pith.science/pith/PZO3EZREMIL2UPKLXZBC5VLOEG","download_json":"https://pith.science/pith/PZO3EZREMIL2UPKLXZBC5VLOEG.json","view_paper":"https://pith.science/paper/PZO3EZRE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2103.16104&json=true","fetch_graph":"https://pith.science/api/pith-number/PZO3EZREMIL2UPKLXZBC5VLOEG/graph.json","fetch_events":"https://pith.science/api/pith-number/PZO3EZREMIL2UPKLXZBC5VLOEG/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PZO3EZREMIL2UPKLXZBC5VLOEG/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PZO3EZREMIL2UPKLXZBC5VLOEG/action/storage_attestation","attest_author":"https://pith.science/pith/PZO3EZREMIL2UPKLXZBC5VLOEG/action/author_attestation","sign_citation":"https://pith.science/pith/PZO3EZREMIL2UPKLXZBC5VLOEG/action/citation_signature","submit_replication":"https://pith.science/pith/PZO3EZREMIL2UPKLXZBC5VLOEG/action/replication_record"}},"created_at":"2026-07-05T02:52:15.820023+00:00","updated_at":"2026-07-05T02:52:15.820023+00:00"}