{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2020:GBIALYPKYIOTA65VZM5IFDRUNF","short_pith_number":"pith:GBIALYPK","schema_version":"1.0","canonical_sha256":"305005e1eac21d307bb5cb3a828e34696278aee7061403e4023e2e3e06bc86cc","source":{"kind":"arxiv","id":"2006.04520","version":1},"attestation_state":"computed","paper":{"title":"Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.IR","authors_text":"Huan Xu, Mingdong Ou, Nan Li, Yifei Zhao, Yu-Hang Zhou","submitted_at":"2020-06-02T09:02:51Z","abstract_excerpt":"To maximize cumulative user engagement (e.g. cumulative clicks) in sequential recommendation, it is often needed to tradeoff two potentially conflicting objectives, that is, pursuing higher immediate user engagement (e.g., click-through rate) and encouraging user browsing (i.e., more items exposured). Existing works often study these two tasks separately, thus tend to result in sub-optimal results. In this paper, we study this problem from an online optimization perspective, and propose a flexible and practical framework to explicitly tradeoff longer user browsing length and high immediate use"},"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":"2006.04520","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2020-06-02T09:02:51Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"d97b6481ec7b5fdbcebfe1cab6ed2ad9acefbd0e0ea4e64ec56e4d8404417867","abstract_canon_sha256":"0fb3016cc32f74b94ff20079ab8eeb176842992e746d3497267a18785fbdf1e9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:08:39.880244Z","signature_b64":"P94Yc0hVIl3eQe72Uc5OPsD7mvzpH2lUpVAYvTJjW8aWzhf2Hx4lz4UIyWvn+3EYp5bE5jfHTSKPAf6eKy2/CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"305005e1eac21d307bb5cb3a828e34696278aee7061403e4023e2e3e06bc86cc","last_reissued_at":"2026-07-05T01:08:39.879870Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:08:39.879870Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Maximizing Cumulative User Engagement in Sequential Recommendation: An Online Optimization Perspective","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.IR","authors_text":"Huan Xu, Mingdong Ou, Nan Li, Yifei Zhao, Yu-Hang Zhou","submitted_at":"2020-06-02T09:02:51Z","abstract_excerpt":"To maximize cumulative user engagement (e.g. cumulative clicks) in sequential recommendation, it is often needed to tradeoff two potentially conflicting objectives, that is, pursuing higher immediate user engagement (e.g., click-through rate) and encouraging user browsing (i.e., more items exposured). Existing works often study these two tasks separately, thus tend to result in sub-optimal results. In this paper, we study this problem from an online optimization perspective, and propose a flexible and practical framework to explicitly tradeoff longer user browsing length and high immediate use"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.04520","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/2006.04520/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":"2006.04520","created_at":"2026-07-05T01:08:39.879932+00:00"},{"alias_kind":"arxiv_version","alias_value":"2006.04520v1","created_at":"2026-07-05T01:08:39.879932+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.04520","created_at":"2026-07-05T01:08:39.879932+00:00"},{"alias_kind":"pith_short_12","alias_value":"GBIALYPKYIOT","created_at":"2026-07-05T01:08:39.879932+00:00"},{"alias_kind":"pith_short_16","alias_value":"GBIALYPKYIOTA65V","created_at":"2026-07-05T01:08:39.879932+00:00"},{"alias_kind":"pith_short_8","alias_value":"GBIALYPK","created_at":"2026-07-05T01:08:39.879932+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/GBIALYPKYIOTA65VZM5IFDRUNF","json":"https://pith.science/pith/GBIALYPKYIOTA65VZM5IFDRUNF.json","graph_json":"https://pith.science/api/pith-number/GBIALYPKYIOTA65VZM5IFDRUNF/graph.json","events_json":"https://pith.science/api/pith-number/GBIALYPKYIOTA65VZM5IFDRUNF/events.json","paper":"https://pith.science/paper/GBIALYPK"},"agent_actions":{"view_html":"https://pith.science/pith/GBIALYPKYIOTA65VZM5IFDRUNF","download_json":"https://pith.science/pith/GBIALYPKYIOTA65VZM5IFDRUNF.json","view_paper":"https://pith.science/paper/GBIALYPK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2006.04520&json=true","fetch_graph":"https://pith.science/api/pith-number/GBIALYPKYIOTA65VZM5IFDRUNF/graph.json","fetch_events":"https://pith.science/api/pith-number/GBIALYPKYIOTA65VZM5IFDRUNF/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GBIALYPKYIOTA65VZM5IFDRUNF/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GBIALYPKYIOTA65VZM5IFDRUNF/action/storage_attestation","attest_author":"https://pith.science/pith/GBIALYPKYIOTA65VZM5IFDRUNF/action/author_attestation","sign_citation":"https://pith.science/pith/GBIALYPKYIOTA65VZM5IFDRUNF/action/citation_signature","submit_replication":"https://pith.science/pith/GBIALYPKYIOTA65VZM5IFDRUNF/action/replication_record"}},"created_at":"2026-07-05T01:08:39.879932+00:00","updated_at":"2026-07-05T01:08:39.879932+00:00"}