{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:W2NN7YBV6YFBOQUPHWSE3BMLYQ","short_pith_number":"pith:W2NN7YBV","schema_version":"1.0","canonical_sha256":"b69adfe035f60a17428f3da44d858bc40861ec8a00924b41d060d4fc507ee890","source":{"kind":"arxiv","id":"2107.05204","version":1},"attestation_state":"computed","paper":{"title":"Sliding Spectrum Decomposition for Diversified Recommendation","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Lei Zhang, Ruiwen Xu, Weikun Wang, Yanhua Huang","submitted_at":"2021-07-12T05:41:54Z","abstract_excerpt":"Content feed, a type of product that recommends a sequence of items for users to browse and engage with, has gained tremendous popularity among social media platforms. In this paper, we propose to study the diversity problem in such a scenario from an item sequence perspective using time series analysis techniques. We derive a method called sliding spectrum decomposition (SSD) that captures users' perception of diversity in browsing a long item sequence. We also share our experiences in designing and implementing a suitable item embedding method for accurate similarity measurement under long t"},"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":"2107.05204","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.IR","submitted_at":"2021-07-12T05:41:54Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"44398eddc03c15fac62589ee4353b6492598ddf55bf5a7df94f97748265a23cf","abstract_canon_sha256":"5491eab510cd846bdb09258bb8aa72dcfb7559179902012b090daefabb96c74b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:57:00.631823Z","signature_b64":"JDd0d3pc+ITE3yXS/dzKJXwPHsXRHkJUrFSYjRuIBbBBUqicAHqB7nav07w577DbHgZfEeLc3dY7KANIE5ufBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b69adfe035f60a17428f3da44d858bc40861ec8a00924b41d060d4fc507ee890","last_reissued_at":"2026-07-05T02:57:00.631409Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:57:00.631409Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Sliding Spectrum Decomposition for Diversified Recommendation","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.IR","authors_text":"Lei Zhang, Ruiwen Xu, Weikun Wang, Yanhua Huang","submitted_at":"2021-07-12T05:41:54Z","abstract_excerpt":"Content feed, a type of product that recommends a sequence of items for users to browse and engage with, has gained tremendous popularity among social media platforms. In this paper, we propose to study the diversity problem in such a scenario from an item sequence perspective using time series analysis techniques. We derive a method called sliding spectrum decomposition (SSD) that captures users' perception of diversity in browsing a long item sequence. We also share our experiences in designing and implementing a suitable item embedding method for accurate similarity measurement under long t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.05204","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/2107.05204/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":"2107.05204","created_at":"2026-07-05T02:57:00.631468+00:00"},{"alias_kind":"arxiv_version","alias_value":"2107.05204v1","created_at":"2026-07-05T02:57:00.631468+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.05204","created_at":"2026-07-05T02:57:00.631468+00:00"},{"alias_kind":"pith_short_12","alias_value":"W2NN7YBV6YFB","created_at":"2026-07-05T02:57:00.631468+00:00"},{"alias_kind":"pith_short_16","alias_value":"W2NN7YBV6YFBOQUP","created_at":"2026-07-05T02:57:00.631468+00:00"},{"alias_kind":"pith_short_8","alias_value":"W2NN7YBV","created_at":"2026-07-05T02:57:00.631468+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/W2NN7YBV6YFBOQUPHWSE3BMLYQ","json":"https://pith.science/pith/W2NN7YBV6YFBOQUPHWSE3BMLYQ.json","graph_json":"https://pith.science/api/pith-number/W2NN7YBV6YFBOQUPHWSE3BMLYQ/graph.json","events_json":"https://pith.science/api/pith-number/W2NN7YBV6YFBOQUPHWSE3BMLYQ/events.json","paper":"https://pith.science/paper/W2NN7YBV"},"agent_actions":{"view_html":"https://pith.science/pith/W2NN7YBV6YFBOQUPHWSE3BMLYQ","download_json":"https://pith.science/pith/W2NN7YBV6YFBOQUPHWSE3BMLYQ.json","view_paper":"https://pith.science/paper/W2NN7YBV","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2107.05204&json=true","fetch_graph":"https://pith.science/api/pith-number/W2NN7YBV6YFBOQUPHWSE3BMLYQ/graph.json","fetch_events":"https://pith.science/api/pith-number/W2NN7YBV6YFBOQUPHWSE3BMLYQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/W2NN7YBV6YFBOQUPHWSE3BMLYQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/W2NN7YBV6YFBOQUPHWSE3BMLYQ/action/storage_attestation","attest_author":"https://pith.science/pith/W2NN7YBV6YFBOQUPHWSE3BMLYQ/action/author_attestation","sign_citation":"https://pith.science/pith/W2NN7YBV6YFBOQUPHWSE3BMLYQ/action/citation_signature","submit_replication":"https://pith.science/pith/W2NN7YBV6YFBOQUPHWSE3BMLYQ/action/replication_record"}},"created_at":"2026-07-05T02:57:00.631468+00:00","updated_at":"2026-07-05T02:57:00.631468+00:00"}