{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:UJH2XO5WQRO47HONW5CSBLUBE3","short_pith_number":"pith:UJH2XO5W","canonical_record":{"source":{"id":"1705.02669","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-05-07T17:46:43Z","cross_cats_sorted":["cs.CL","cs.IR","cs.SI","stat.ML"],"title_canon_sha256":"a0ac304c8ecc0aefbf4a02ed3424d21e0d717ffd39dacfb1f2fd6f72f48640b1","abstract_canon_sha256":"e1d0b62a088bc4b7c442da1efaafc89d4fd65194b7204b9fc2347358cdbd4de1"},"schema_version":"1.0"},"canonical_sha256":"a24fabbbb6845dcf9dcdb74520ae8126d74cba4dae4ffc8f64388155cf6e97e9","source":{"kind":"arxiv","id":"1705.02669","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.02669","created_at":"2026-05-18T00:38:20Z"},{"alias_kind":"arxiv_version","alias_value":"1705.02669v3","created_at":"2026-05-18T00:38:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.02669","created_at":"2026-05-18T00:38:20Z"},{"alias_kind":"pith_short_12","alias_value":"UJH2XO5WQRO4","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"UJH2XO5WQRO47HON","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"UJH2XO5W","created_at":"2026-05-18T12:31:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:UJH2XO5WQRO47HONW5CSBLUBE3","target":"record","payload":{"canonical_record":{"source":{"id":"1705.02669","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-05-07T17:46:43Z","cross_cats_sorted":["cs.CL","cs.IR","cs.SI","stat.ML"],"title_canon_sha256":"a0ac304c8ecc0aefbf4a02ed3424d21e0d717ffd39dacfb1f2fd6f72f48640b1","abstract_canon_sha256":"e1d0b62a088bc4b7c442da1efaafc89d4fd65194b7204b9fc2347358cdbd4de1"},"schema_version":"1.0"},"canonical_sha256":"a24fabbbb6845dcf9dcdb74520ae8126d74cba4dae4ffc8f64388155cf6e97e9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:38:20.662164Z","signature_b64":"EPd0lwIsR8Fwj9bT3/KNI/dy3MsywmNn8/K1UrZCrS56qRBABVOBamtbRXQ3kMy04hyz2K+4XI8mm/AmJpQIAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a24fabbbb6845dcf9dcdb74520ae8126d74cba4dae4ffc8f64388155cf6e97e9","last_reissued_at":"2026-05-18T00:38:20.661477Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:38:20.661477Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.02669","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:38:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t9vSuj1h67uxPzE4/KCasR7iFJman7VznRAXrVIlfTm0J5+bpSOiYAD8bfpmA1OL6/D8aehQrdNzjcB3WvoEBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T11:33:01.270928Z"},"content_sha256":"aaf613f0e271e6afcce3e65df30601964aac57a9109bbacf2f94d99baeb2fe79","schema_version":"1.0","event_id":"sha256:aaf613f0e271e6afcce3e65df30601964aac57a9109bbacf2f94d99baeb2fe79"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:UJH2XO5WQRO47HONW5CSBLUBE3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Item Recommendation with Continuous Experience Evolution of Users using Brownian Motion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.IR","cs.SI","stat.ML"],"primary_cat":"cs.AI","authors_text":"Gerhard Weikum, Stephan Guennemann, Subhabrata Mukherjee","submitted_at":"2017-05-07T17:46:43Z","abstract_excerpt":"Online review communities are dynamic as users join and leave, adopt new vocabulary, and adapt to evolving trends. Recent work has shown that recommender systems benefit from explicit consideration of user experience. However, prior work assumes a fixed number of discrete experience levels, whereas in reality users gain experience and mature continuously over time. This paper presents a new model that captures the continuous evolution of user experience, and the resulting language model in reviews and other posts. Our model is unsupervised and combines principles of Geometric Brownian Motion, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.02669","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":""},"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":"2026-05-18T00:38:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8JtjGkI/G/NwlVV2JG1CEircflX6Q+H45kliOj0WBWkhFy80fc3EhDBrYkNwlXLUEw3D20WVoHp2NCcm9EakCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T11:33:01.271279Z"},"content_sha256":"fa27a4f8d38b9e470e2b84f1e14330a0776876599bd5fe96c257b2634f90a9cd","schema_version":"1.0","event_id":"sha256:fa27a4f8d38b9e470e2b84f1e14330a0776876599bd5fe96c257b2634f90a9cd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UJH2XO5WQRO47HONW5CSBLUBE3/bundle.json","state_url":"https://pith.science/pith/UJH2XO5WQRO47HONW5CSBLUBE3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UJH2XO5WQRO47HONW5CSBLUBE3/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":"2026-05-28T11:33:01Z","links":{"resolver":"https://pith.science/pith/UJH2XO5WQRO47HONW5CSBLUBE3","bundle":"https://pith.science/pith/UJH2XO5WQRO47HONW5CSBLUBE3/bundle.json","state":"https://pith.science/pith/UJH2XO5WQRO47HONW5CSBLUBE3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UJH2XO5WQRO47HONW5CSBLUBE3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:UJH2XO5WQRO47HONW5CSBLUBE3","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":"e1d0b62a088bc4b7c442da1efaafc89d4fd65194b7204b9fc2347358cdbd4de1","cross_cats_sorted":["cs.CL","cs.IR","cs.SI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-05-07T17:46:43Z","title_canon_sha256":"a0ac304c8ecc0aefbf4a02ed3424d21e0d717ffd39dacfb1f2fd6f72f48640b1"},"schema_version":"1.0","source":{"id":"1705.02669","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.02669","created_at":"2026-05-18T00:38:20Z"},{"alias_kind":"arxiv_version","alias_value":"1705.02669v3","created_at":"2026-05-18T00:38:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.02669","created_at":"2026-05-18T00:38:20Z"},{"alias_kind":"pith_short_12","alias_value":"UJH2XO5WQRO4","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"UJH2XO5WQRO47HON","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"UJH2XO5W","created_at":"2026-05-18T12:31:46Z"}],"graph_snapshots":[{"event_id":"sha256:fa27a4f8d38b9e470e2b84f1e14330a0776876599bd5fe96c257b2634f90a9cd","target":"graph","created_at":"2026-05-18T00:38:20Z","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":"Online review communities are dynamic as users join and leave, adopt new vocabulary, and adapt to evolving trends. Recent work has shown that recommender systems benefit from explicit consideration of user experience. However, prior work assumes a fixed number of discrete experience levels, whereas in reality users gain experience and mature continuously over time. This paper presents a new model that captures the continuous evolution of user experience, and the resulting language model in reviews and other posts. Our model is unsupervised and combines principles of Geometric Brownian Motion, ","authors_text":"Gerhard Weikum, Stephan Guennemann, Subhabrata Mukherjee","cross_cats":["cs.CL","cs.IR","cs.SI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-05-07T17:46:43Z","title":"Item Recommendation with Continuous Experience Evolution of Users using Brownian Motion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.02669","kind":"arxiv","version":3},"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:aaf613f0e271e6afcce3e65df30601964aac57a9109bbacf2f94d99baeb2fe79","target":"record","created_at":"2026-05-18T00:38:20Z","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":"e1d0b62a088bc4b7c442da1efaafc89d4fd65194b7204b9fc2347358cdbd4de1","cross_cats_sorted":["cs.CL","cs.IR","cs.SI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-05-07T17:46:43Z","title_canon_sha256":"a0ac304c8ecc0aefbf4a02ed3424d21e0d717ffd39dacfb1f2fd6f72f48640b1"},"schema_version":"1.0","source":{"id":"1705.02669","kind":"arxiv","version":3}},"canonical_sha256":"a24fabbbb6845dcf9dcdb74520ae8126d74cba4dae4ffc8f64388155cf6e97e9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a24fabbbb6845dcf9dcdb74520ae8126d74cba4dae4ffc8f64388155cf6e97e9","first_computed_at":"2026-05-18T00:38:20.661477Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:38:20.661477Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EPd0lwIsR8Fwj9bT3/KNI/dy3MsywmNn8/K1UrZCrS56qRBABVOBamtbRXQ3kMy04hyz2K+4XI8mm/AmJpQIAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:38:20.662164Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.02669","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aaf613f0e271e6afcce3e65df30601964aac57a9109bbacf2f94d99baeb2fe79","sha256:fa27a4f8d38b9e470e2b84f1e14330a0776876599bd5fe96c257b2634f90a9cd"],"state_sha256":"b669fdbe2b7dd554ca2308e8402cb49d95ff0d031c36070c881a59aaeb337f20"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mhLjCnN+H+D8L+x5Nzp0mlmQ53MfL1hJmpL0tREXGWfP5txij6V8aVLLe3rvQ6mhnyYlhAdtyu09JoLp5NLLCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T11:33:01.273351Z","bundle_sha256":"f4b1326e55bf595a900201177fedfcfebe9800539157c931267aac3f989dd9e0"}}