{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:4TP2ATI7PI35MMKM4QFGR3XUOV","short_pith_number":"pith:4TP2ATI7","schema_version":"1.0","canonical_sha256":"e4dfa04d1f7a37d6314ce40a68eef4757efb06b15ae7f6a2cee3d19b44088b31","source":{"kind":"arxiv","id":"2208.07531","version":1},"attestation_state":"computed","paper":{"title":"FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.HC","authors_text":"Amanpreet Singh, Daniel S. Weld, Doug Downey, Evie Yu-Yen Cheng, Harmanpreet Kaur, Jonathan Bragg","submitted_at":"2022-08-16T04:30:35Z","abstract_excerpt":"The vast scale and open-ended nature of knowledge graphs (KGs) make exploratory search over them cognitively demanding for users. We introduce a new technique, polymorphic lenses, that improves exploratory search over a KG by obtaining new leverage from the existing preference models that KG-based systems maintain for recommending content. The approach is based on a simple but powerful observation: in a KG, preference models can be re-targeted to recommend not only entities of a single base entity type (e.g., papers in the scientific literature KG, products in an e-commerce KG), but also all o"},"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":"2208.07531","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2022-08-16T04:30:35Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"721533b5d959dd34364bcf3665d5e380314f04d4ba17b778f447f520fd54708c","abstract_canon_sha256":"f99385ddca6a3ff8816b6db9fce82ee9481588709fad648df1fdf3f69340d0de"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:49:05.941457Z","signature_b64":"oO6V8zaGJsB83QC3ECl0g35w5KyEQMtYsAhX3q122q+kEQxT718bMKBJ4l7UDwyy/DMfwUImT8ziuPYnP/NdDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e4dfa04d1f7a37d6314ce40a68eef4757efb06b15ae7f6a2cee3d19b44088b31","last_reissued_at":"2026-07-05T04:49:05.940866Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:49:05.940866Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.HC","authors_text":"Amanpreet Singh, Daniel S. Weld, Doug Downey, Evie Yu-Yen Cheng, Harmanpreet Kaur, Jonathan Bragg","submitted_at":"2022-08-16T04:30:35Z","abstract_excerpt":"The vast scale and open-ended nature of knowledge graphs (KGs) make exploratory search over them cognitively demanding for users. We introduce a new technique, polymorphic lenses, that improves exploratory search over a KG by obtaining new leverage from the existing preference models that KG-based systems maintain for recommending content. The approach is based on a simple but powerful observation: in a KG, preference models can be re-targeted to recommend not only entities of a single base entity type (e.g., papers in the scientific literature KG, products in an e-commerce KG), but also all o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.07531","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/2208.07531/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":"2208.07531","created_at":"2026-07-05T04:49:05.940949+00:00"},{"alias_kind":"arxiv_version","alias_value":"2208.07531v1","created_at":"2026-07-05T04:49:05.940949+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.07531","created_at":"2026-07-05T04:49:05.940949+00:00"},{"alias_kind":"pith_short_12","alias_value":"4TP2ATI7PI35","created_at":"2026-07-05T04:49:05.940949+00:00"},{"alias_kind":"pith_short_16","alias_value":"4TP2ATI7PI35MMKM","created_at":"2026-07-05T04:49:05.940949+00:00"},{"alias_kind":"pith_short_8","alias_value":"4TP2ATI7","created_at":"2026-07-05T04:49:05.940949+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/4TP2ATI7PI35MMKM4QFGR3XUOV","json":"https://pith.science/pith/4TP2ATI7PI35MMKM4QFGR3XUOV.json","graph_json":"https://pith.science/api/pith-number/4TP2ATI7PI35MMKM4QFGR3XUOV/graph.json","events_json":"https://pith.science/api/pith-number/4TP2ATI7PI35MMKM4QFGR3XUOV/events.json","paper":"https://pith.science/paper/4TP2ATI7"},"agent_actions":{"view_html":"https://pith.science/pith/4TP2ATI7PI35MMKM4QFGR3XUOV","download_json":"https://pith.science/pith/4TP2ATI7PI35MMKM4QFGR3XUOV.json","view_paper":"https://pith.science/paper/4TP2ATI7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2208.07531&json=true","fetch_graph":"https://pith.science/api/pith-number/4TP2ATI7PI35MMKM4QFGR3XUOV/graph.json","fetch_events":"https://pith.science/api/pith-number/4TP2ATI7PI35MMKM4QFGR3XUOV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4TP2ATI7PI35MMKM4QFGR3XUOV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4TP2ATI7PI35MMKM4QFGR3XUOV/action/storage_attestation","attest_author":"https://pith.science/pith/4TP2ATI7PI35MMKM4QFGR3XUOV/action/author_attestation","sign_citation":"https://pith.science/pith/4TP2ATI7PI35MMKM4QFGR3XUOV/action/citation_signature","submit_replication":"https://pith.science/pith/4TP2ATI7PI35MMKM4QFGR3XUOV/action/replication_record"}},"created_at":"2026-07-05T04:49:05.940949+00:00","updated_at":"2026-07-05T04:49:05.940949+00:00"}