{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:MKVCEYV7XLRZDLTCQJ23YH3SBB","short_pith_number":"pith:MKVCEYV7","canonical_record":{"source":{"id":"1907.01647","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-07-01T03:52:55Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"89385b730819e11e1e8329b2c19c561c728cdbf33a7fa630333c6a174d73f7eb","abstract_canon_sha256":"d20759ecdb145e6c7bbf30d2950356baee8b2f4af69ed8030efb8b19beeef7cd"},"schema_version":"1.0"},"canonical_sha256":"62aa2262bfbae391ae628275bc1f720862ff2e98041510f0bcc79b8d0aae72ec","source":{"kind":"arxiv","id":"1907.01647","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.01647","created_at":"2026-05-17T23:41:35Z"},{"alias_kind":"arxiv_version","alias_value":"1907.01647v1","created_at":"2026-05-17T23:41:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.01647","created_at":"2026-05-17T23:41:35Z"},{"alias_kind":"pith_short_12","alias_value":"MKVCEYV7XLRZ","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"MKVCEYV7XLRZDLTC","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"MKVCEYV7","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:MKVCEYV7XLRZDLTCQJ23YH3SBB","target":"record","payload":{"canonical_record":{"source":{"id":"1907.01647","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-07-01T03:52:55Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"89385b730819e11e1e8329b2c19c561c728cdbf33a7fa630333c6a174d73f7eb","abstract_canon_sha256":"d20759ecdb145e6c7bbf30d2950356baee8b2f4af69ed8030efb8b19beeef7cd"},"schema_version":"1.0"},"canonical_sha256":"62aa2262bfbae391ae628275bc1f720862ff2e98041510f0bcc79b8d0aae72ec","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:41:35.605269Z","signature_b64":"WnEBLkLqjbP+TOt6mhWW0xQSeNq09OXcUEJT98az1UBTrMFoxvFnS17iHIsOJqrX19qIiadt0wlDgZlfgFqLBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"62aa2262bfbae391ae628275bc1f720862ff2e98041510f0bcc79b8d0aae72ec","last_reissued_at":"2026-05-17T23:41:35.604561Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:41:35.604561Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.01647","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:41:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bV8U2aYPE0tiAggsqNoaS2to3tIugyj/z30cT4FrhT/IL2V/Dow5f9X1+8KiybT27KSRtOB+MWVIFfjcBnlsAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T14:57:03.571940Z"},"content_sha256":"55d33b57da05873bde349c3cbc6f348f47036c8c0ca20fafcefd45c1113e2105","schema_version":"1.0","event_id":"sha256:55d33b57da05873bde349c3cbc6f348f47036c8c0ca20fafcefd45c1113e2105"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:MKVCEYV7XLRZDLTCQJ23YH3SBB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bandit Learning for Diversified Interactive Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.IR","authors_text":"Chunyan Miao, Juyong Zhang, Qiong Wu, Yingtai Xiao, Yong Liu","submitted_at":"2019-07-01T03:52:55Z","abstract_excerpt":"Interactive recommender systems that enable the interactions between users and the recommender system have attracted increasing research attentions. Previous methods mainly focus on optimizing recommendation accuracy. However, they usually ignore the diversity of the recommendation results, thus usually results in unsatisfying user experiences. In this paper, we propose a novel diversified recommendation model, named Diversified Contextual Combinatorial Bandit (DC$^2$B), for interactive recommendation with users' implicit feedback. Specifically, DC$^2$B employs determinantal point process in t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.01647","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":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:41:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lUE84I0KfkVdqyJoPhDH9v6ntZaIIY0SdRvvf6gO6WEFCW/YHk8iZFa9qDc13hfCT3sjcUq8SeiIOIHTQsA5Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T14:57:03.572510Z"},"content_sha256":"1b2f5dd1186bccc49b6e4b71588561ce8e7b264bac02ddf29f8d4f1d8c06cd51","schema_version":"1.0","event_id":"sha256:1b2f5dd1186bccc49b6e4b71588561ce8e7b264bac02ddf29f8d4f1d8c06cd51"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MKVCEYV7XLRZDLTCQJ23YH3SBB/bundle.json","state_url":"https://pith.science/pith/MKVCEYV7XLRZDLTCQJ23YH3SBB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MKVCEYV7XLRZDLTCQJ23YH3SBB/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-28T14:57:03Z","links":{"resolver":"https://pith.science/pith/MKVCEYV7XLRZDLTCQJ23YH3SBB","bundle":"https://pith.science/pith/MKVCEYV7XLRZDLTCQJ23YH3SBB/bundle.json","state":"https://pith.science/pith/MKVCEYV7XLRZDLTCQJ23YH3SBB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MKVCEYV7XLRZDLTCQJ23YH3SBB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:MKVCEYV7XLRZDLTCQJ23YH3SBB","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"d20759ecdb145e6c7bbf30d2950356baee8b2f4af69ed8030efb8b19beeef7cd","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-07-01T03:52:55Z","title_canon_sha256":"89385b730819e11e1e8329b2c19c561c728cdbf33a7fa630333c6a174d73f7eb"},"schema_version":"1.0","source":{"id":"1907.01647","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.01647","created_at":"2026-05-17T23:41:35Z"},{"alias_kind":"arxiv_version","alias_value":"1907.01647v1","created_at":"2026-05-17T23:41:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.01647","created_at":"2026-05-17T23:41:35Z"},{"alias_kind":"pith_short_12","alias_value":"MKVCEYV7XLRZ","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"MKVCEYV7XLRZDLTC","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"MKVCEYV7","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:1b2f5dd1186bccc49b6e4b71588561ce8e7b264bac02ddf29f8d4f1d8c06cd51","target":"graph","created_at":"2026-05-17T23:41:35Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Interactive recommender systems that enable the interactions between users and the recommender system have attracted increasing research attentions. Previous methods mainly focus on optimizing recommendation accuracy. However, they usually ignore the diversity of the recommendation results, thus usually results in unsatisfying user experiences. In this paper, we propose a novel diversified recommendation model, named Diversified Contextual Combinatorial Bandit (DC$^2$B), for interactive recommendation with users' implicit feedback. Specifically, DC$^2$B employs determinantal point process in t","authors_text":"Chunyan Miao, Juyong Zhang, Qiong Wu, Yingtai Xiao, Yong Liu","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-07-01T03:52:55Z","title":"Bandit Learning for Diversified Interactive Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.01647","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:55d33b57da05873bde349c3cbc6f348f47036c8c0ca20fafcefd45c1113e2105","target":"record","created_at":"2026-05-17T23:41:35Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"d20759ecdb145e6c7bbf30d2950356baee8b2f4af69ed8030efb8b19beeef7cd","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-07-01T03:52:55Z","title_canon_sha256":"89385b730819e11e1e8329b2c19c561c728cdbf33a7fa630333c6a174d73f7eb"},"schema_version":"1.0","source":{"id":"1907.01647","kind":"arxiv","version":1}},"canonical_sha256":"62aa2262bfbae391ae628275bc1f720862ff2e98041510f0bcc79b8d0aae72ec","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"62aa2262bfbae391ae628275bc1f720862ff2e98041510f0bcc79b8d0aae72ec","first_computed_at":"2026-05-17T23:41:35.604561Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:41:35.604561Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WnEBLkLqjbP+TOt6mhWW0xQSeNq09OXcUEJT98az1UBTrMFoxvFnS17iHIsOJqrX19qIiadt0wlDgZlfgFqLBw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:41:35.605269Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.01647","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:55d33b57da05873bde349c3cbc6f348f47036c8c0ca20fafcefd45c1113e2105","sha256:1b2f5dd1186bccc49b6e4b71588561ce8e7b264bac02ddf29f8d4f1d8c06cd51"],"state_sha256":"f9db0a829b50ee720a95915c589a9ce3653696c80901641969394af780be1b30"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yxV9TMuB/OKAGzkwrLbNzJidtTA0eeWDJs04O8uXQTDt7/ONB3xSi3PcC/9Qlj/qIG+37HdlF+UYenisT5fSBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T14:57:03.575404Z","bundle_sha256":"331f38e81d3f967a580c6c7d18addb88169d283b747806f5888c28deca2ac5ba"}}