{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TJ2LEACJJJKRW235ICZXYW4FDR","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":"29d34e0449aaba51376aa38b975a3a3d141912144e2f36c5985d79ab6c8f7de2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-05-20T03:47:12Z","title_canon_sha256":"bb063d877c41c1724da8f1fd1f07216ba2190b0a63f51236a4cc32b84a18764c"},"schema_version":"1.0","source":{"id":"2405.11764","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.11764","created_at":"2026-07-05T08:21:55Z"},{"alias_kind":"arxiv_version","alias_value":"2405.11764v2","created_at":"2026-07-05T08:21:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.11764","created_at":"2026-07-05T08:21:55Z"},{"alias_kind":"pith_short_12","alias_value":"TJ2LEACJJJKR","created_at":"2026-07-05T08:21:55Z"},{"alias_kind":"pith_short_16","alias_value":"TJ2LEACJJJKRW235","created_at":"2026-07-05T08:21:55Z"},{"alias_kind":"pith_short_8","alias_value":"TJ2LEACJ","created_at":"2026-07-05T08:21:55Z"}],"graph_snapshots":[{"event_id":"sha256:e40385893ea20ca2aaeb69ec0796302264b31fe5484007cb7d32ff8a0d1ac358","target":"graph","created_at":"2026-07-05T08:21:55Z","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/2405.11764/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recommender systems filter out information that meets user interests. However, users may be tired of the recommendations that are too similar to the content they have been exposed to in a short historical period, which is the so-called user fatigue. Despite the significance for a better user experience, user fatigue is seldom explored by existing recommenders. In fact, there are three main challenges to be addressed for modeling user fatigue, including what features support it, how it influences user interests, and how its explicit signals are obtained. In this paper, we propose to model user ","authors_text":"Chen Gao, Cheng Ling, Kun Gai, Lantao Hu, Nian Li, Peng Jiang, Qingmin Liao, Xin Ban, Yong Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-05-20T03:47:12Z","title":"Modeling User Fatigue for Sequential Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.11764","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:ff354cad4e51924eb0207972c00010eecb8e4dc972d914748db23c5a5df36716","target":"record","created_at":"2026-07-05T08:21:55Z","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":"29d34e0449aaba51376aa38b975a3a3d141912144e2f36c5985d79ab6c8f7de2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-05-20T03:47:12Z","title_canon_sha256":"bb063d877c41c1724da8f1fd1f07216ba2190b0a63f51236a4cc32b84a18764c"},"schema_version":"1.0","source":{"id":"2405.11764","kind":"arxiv","version":2}},"canonical_sha256":"9a74b200494a551b6b7d40b37c5b851c799f37d835aceba78f47a7eae07debf9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a74b200494a551b6b7d40b37c5b851c799f37d835aceba78f47a7eae07debf9","first_computed_at":"2026-07-05T08:21:55.437372Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:21:55.437372Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rplZsLo3FhlrU8eL0pa0JdgLyH35LRGAIzslf13674hD238CwYDpw1t3gUTJd4DBGONHS6DN9DILRjw2AxgeDg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:21:55.437902Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.11764","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff354cad4e51924eb0207972c00010eecb8e4dc972d914748db23c5a5df36716","sha256:e40385893ea20ca2aaeb69ec0796302264b31fe5484007cb7d32ff8a0d1ac358"],"state_sha256":"1f8c96447060e4e520e942e43d5ee6234954367bbd2fde785453c46aa9535cf2"}