{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:HR6CH43CMODZI6BBUHR5WWHN3R","short_pith_number":"pith:HR6CH43C","schema_version":"1.0","canonical_sha256":"3c7c23f3626387947821a1e3db58eddc5e57f520797857ec4f1701bda0b76f84","source":{"kind":"arxiv","id":"2211.15381","version":2},"attestation_state":"computed","paper":{"title":"Incentive-Aware Recommender Systems in Two-Sided Markets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.IR","authors_text":"Michael I. Jordan, Wenlu Xu, Xiaowu Dai, Yuan Qi","submitted_at":"2022-11-23T22:20:12Z","abstract_excerpt":"Online platforms in the Internet Economy commonly incorporate recommender systems that recommend products (or \"arms\") to users (or \"agents\"). A key challenge in this domain arises from myopic agents who are naturally incentivized to exploit by choosing the optimal arm based on current information, rather than exploring various alternatives to gather information that benefits the collective. We propose a novel recommender system that aligns with agents' incentives while achieving asymptotically optimal performance, as measured by regret in repeated interactions. Our framework models this incent"},"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":"2211.15381","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2022-11-23T22:20:12Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"95396ad9963b50c1ababdd0714c203a542671f15cd5b442e2a8b9f3e7bc5e751","abstract_canon_sha256":"085fc121dd04f7aa62d58110f2036d5980481f555ec5f66958051a85595820ee"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:33:29.310759Z","signature_b64":"mG0ylJw0mLSkBtJiFecvnapRdtTusgbzpNJ2uLowtBUibVb6Q8lJfCI/PJSFLYzyWmKWQYOShOIlAd8UT3ymAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3c7c23f3626387947821a1e3db58eddc5e57f520797857ec4f1701bda0b76f84","last_reissued_at":"2026-07-05T08:33:29.310334Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:33:29.310334Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Incentive-Aware Recommender Systems in Two-Sided Markets","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.IR","authors_text":"Michael I. Jordan, Wenlu Xu, Xiaowu Dai, Yuan Qi","submitted_at":"2022-11-23T22:20:12Z","abstract_excerpt":"Online platforms in the Internet Economy commonly incorporate recommender systems that recommend products (or \"arms\") to users (or \"agents\"). A key challenge in this domain arises from myopic agents who are naturally incentivized to exploit by choosing the optimal arm based on current information, rather than exploring various alternatives to gather information that benefits the collective. We propose a novel recommender system that aligns with agents' incentives while achieving asymptotically optimal performance, as measured by regret in repeated interactions. Our framework models this incent"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.15381","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/2211.15381/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":"2211.15381","created_at":"2026-07-05T08:33:29.310397+00:00"},{"alias_kind":"arxiv_version","alias_value":"2211.15381v2","created_at":"2026-07-05T08:33:29.310397+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.15381","created_at":"2026-07-05T08:33:29.310397+00:00"},{"alias_kind":"pith_short_12","alias_value":"HR6CH43CMODZ","created_at":"2026-07-05T08:33:29.310397+00:00"},{"alias_kind":"pith_short_16","alias_value":"HR6CH43CMODZI6BB","created_at":"2026-07-05T08:33:29.310397+00:00"},{"alias_kind":"pith_short_8","alias_value":"HR6CH43C","created_at":"2026-07-05T08:33:29.310397+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/HR6CH43CMODZI6BBUHR5WWHN3R","json":"https://pith.science/pith/HR6CH43CMODZI6BBUHR5WWHN3R.json","graph_json":"https://pith.science/api/pith-number/HR6CH43CMODZI6BBUHR5WWHN3R/graph.json","events_json":"https://pith.science/api/pith-number/HR6CH43CMODZI6BBUHR5WWHN3R/events.json","paper":"https://pith.science/paper/HR6CH43C"},"agent_actions":{"view_html":"https://pith.science/pith/HR6CH43CMODZI6BBUHR5WWHN3R","download_json":"https://pith.science/pith/HR6CH43CMODZI6BBUHR5WWHN3R.json","view_paper":"https://pith.science/paper/HR6CH43C","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2211.15381&json=true","fetch_graph":"https://pith.science/api/pith-number/HR6CH43CMODZI6BBUHR5WWHN3R/graph.json","fetch_events":"https://pith.science/api/pith-number/HR6CH43CMODZI6BBUHR5WWHN3R/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HR6CH43CMODZI6BBUHR5WWHN3R/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HR6CH43CMODZI6BBUHR5WWHN3R/action/storage_attestation","attest_author":"https://pith.science/pith/HR6CH43CMODZI6BBUHR5WWHN3R/action/author_attestation","sign_citation":"https://pith.science/pith/HR6CH43CMODZI6BBUHR5WWHN3R/action/citation_signature","submit_replication":"https://pith.science/pith/HR6CH43CMODZI6BBUHR5WWHN3R/action/replication_record"}},"created_at":"2026-07-05T08:33:29.310397+00:00","updated_at":"2026-07-05T08:33:29.310397+00:00"}