{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:GLI6MNFYWSCJWJUZTZOIP4CFN7","short_pith_number":"pith:GLI6MNFY","schema_version":"1.0","canonical_sha256":"32d1e634b8b4849b26999e5c87f0456ff0aa189c45c0939095fea4e0b409757f","source":{"kind":"arxiv","id":"2405.12327","version":3},"attestation_state":"computed","paper":{"title":"Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Cheenar Banerjee, Ed H. Chi, Fabio Soldo, Minmin Chen, Samer Chucri, Sriraj Badam, Yuyan Wang","submitted_at":"2024-05-20T18:52:33Z","abstract_excerpt":"It has become increasingly clear that recommender systems that overly focus on short-term engagement prevents users from exploring diverse interests, ultimately hurting long-term user experience. To tackle this challenge, numerous diversification algorithms have been proposed. These algorithms typically rely on measures of item similarity, aiming to maximize the dissimilarity across items in the final set of recommendations. However, in this work, we demonstrate the benefits of going beyond item-level similarities by utilizing higher-level user understanding--specifically, user intents that pe"},"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":"2405.12327","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2024-05-20T18:52:33Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d52d296d7fbeb86d95fe421c47d8ee2dcc32f170052b6a90acd1a90dfc850fe7","abstract_canon_sha256":"39d21ec11430c04285fb308dfb0870bb59dba8e21b93dae3e551e742a61bc19a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:59:15.748625Z","signature_b64":"CYeUvWw/AtxO+QzlcIIq5PTcYj+fcu8K657aM5w3xzBrHxZ5/Ec7egNSD3Fu9ETBCk1HDP0qfNB1614/4/bJDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"32d1e634b8b4849b26999e5c87f0456ff0aa189c45c0939095fea4e0b409757f","last_reissued_at":"2026-07-05T09:59:15.748172Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:59:15.748172Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Cheenar Banerjee, Ed H. Chi, Fabio Soldo, Minmin Chen, Samer Chucri, Sriraj Badam, Yuyan Wang","submitted_at":"2024-05-20T18:52:33Z","abstract_excerpt":"It has become increasingly clear that recommender systems that overly focus on short-term engagement prevents users from exploring diverse interests, ultimately hurting long-term user experience. To tackle this challenge, numerous diversification algorithms have been proposed. These algorithms typically rely on measures of item similarity, aiming to maximize the dissimilarity across items in the final set of recommendations. However, in this work, we demonstrate the benefits of going beyond item-level similarities by utilizing higher-level user understanding--specifically, user intents that pe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.12327","kind":"arxiv","version":3},"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/2405.12327/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":"2405.12327","created_at":"2026-07-05T09:59:15.748233+00:00"},{"alias_kind":"arxiv_version","alias_value":"2405.12327v3","created_at":"2026-07-05T09:59:15.748233+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.12327","created_at":"2026-07-05T09:59:15.748233+00:00"},{"alias_kind":"pith_short_12","alias_value":"GLI6MNFYWSCJ","created_at":"2026-07-05T09:59:15.748233+00:00"},{"alias_kind":"pith_short_16","alias_value":"GLI6MNFYWSCJWJUZ","created_at":"2026-07-05T09:59:15.748233+00:00"},{"alias_kind":"pith_short_8","alias_value":"GLI6MNFY","created_at":"2026-07-05T09:59:15.748233+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/GLI6MNFYWSCJWJUZTZOIP4CFN7","json":"https://pith.science/pith/GLI6MNFYWSCJWJUZTZOIP4CFN7.json","graph_json":"https://pith.science/api/pith-number/GLI6MNFYWSCJWJUZTZOIP4CFN7/graph.json","events_json":"https://pith.science/api/pith-number/GLI6MNFYWSCJWJUZTZOIP4CFN7/events.json","paper":"https://pith.science/paper/GLI6MNFY"},"agent_actions":{"view_html":"https://pith.science/pith/GLI6MNFYWSCJWJUZTZOIP4CFN7","download_json":"https://pith.science/pith/GLI6MNFYWSCJWJUZTZOIP4CFN7.json","view_paper":"https://pith.science/paper/GLI6MNFY","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2405.12327&json=true","fetch_graph":"https://pith.science/api/pith-number/GLI6MNFYWSCJWJUZTZOIP4CFN7/graph.json","fetch_events":"https://pith.science/api/pith-number/GLI6MNFYWSCJWJUZTZOIP4CFN7/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GLI6MNFYWSCJWJUZTZOIP4CFN7/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GLI6MNFYWSCJWJUZTZOIP4CFN7/action/storage_attestation","attest_author":"https://pith.science/pith/GLI6MNFYWSCJWJUZTZOIP4CFN7/action/author_attestation","sign_citation":"https://pith.science/pith/GLI6MNFYWSCJWJUZTZOIP4CFN7/action/citation_signature","submit_replication":"https://pith.science/pith/GLI6MNFYWSCJWJUZTZOIP4CFN7/action/replication_record"}},"created_at":"2026-07-05T09:59:15.748233+00:00","updated_at":"2026-07-05T09:59:15.748233+00:00"}