{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:JVDEEKCORM75CGRLO6IWMVO5QC","short_pith_number":"pith:JVDEEKCO","canonical_record":{"source":{"id":"1705.02519","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-05-06T19:22:41Z","cross_cats_sorted":["cs.CL","cs.IR","cs.SI","stat.ML"],"title_canon_sha256":"549499475bf35f9733e56d880d276c5797392011badafe1a2ae4df44dc194dd7","abstract_canon_sha256":"8ec27b24e0ebafd018f44dd868ac0fee74b0901a3d0f6dc351d5a4e40ed5fa63"},"schema_version":"1.0"},"canonical_sha256":"4d4642284e8b3fd11a2b77916655dd8095cd24624d00f46c39de3187199c7a9b","source":{"kind":"arxiv","id":"1705.02519","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.02519","created_at":"2026-05-18T00:44:34Z"},{"alias_kind":"arxiv_version","alias_value":"1705.02519v1","created_at":"2026-05-18T00:44:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.02519","created_at":"2026-05-18T00:44:34Z"},{"alias_kind":"pith_short_12","alias_value":"JVDEEKCORM75","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JVDEEKCORM75CGRL","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JVDEEKCO","created_at":"2026-05-18T12:31:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:JVDEEKCORM75CGRLO6IWMVO5QC","target":"record","payload":{"canonical_record":{"source":{"id":"1705.02519","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-05-06T19:22:41Z","cross_cats_sorted":["cs.CL","cs.IR","cs.SI","stat.ML"],"title_canon_sha256":"549499475bf35f9733e56d880d276c5797392011badafe1a2ae4df44dc194dd7","abstract_canon_sha256":"8ec27b24e0ebafd018f44dd868ac0fee74b0901a3d0f6dc351d5a4e40ed5fa63"},"schema_version":"1.0"},"canonical_sha256":"4d4642284e8b3fd11a2b77916655dd8095cd24624d00f46c39de3187199c7a9b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:44:34.957148Z","signature_b64":"v2C1O/pNqw8T3tFYZwo+J374hJskdBRdZAAK/FLolXj8bZWjER2SlLcrz2NAdaEseIsQ4VRHihB0BFyhqgCKAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4d4642284e8b3fd11a2b77916655dd8095cd24624d00f46c39de3187199c7a9b","last_reissued_at":"2026-05-18T00:44:34.956734Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:44:34.956734Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.02519","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":"2026-05-18T00:44:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8yn7OM0jE7iO5n63Pt4ySOftfnNVwgjA673lzRnPJOvS92xt65Vp7rVBuEeGpXioao1H5hSvsP4XuSpw5qcABg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T09:03:46.368480Z"},"content_sha256":"f0079a5e59ab89df3ecae56277a253fd32cb8fa72da01ac6dd0d43c017e74b4d","schema_version":"1.0","event_id":"sha256:f0079a5e59ab89df3ecae56277a253fd32cb8fa72da01ac6dd0d43c017e74b4d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:JVDEEKCORM75CGRLO6IWMVO5QC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Item Recommendation with Evolving User Preferences and Experience","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, Hemank Lamba, Subhabrata Mukherjee","submitted_at":"2017-05-06T19:22:41Z","abstract_excerpt":"Current recommender systems exploit user and item similarities by collaborative filtering. Some advanced methods also consider the temporal evolution of item ratings as a global background process. However, all prior methods disregard the individual evolution of a user's experience level and how this is expressed in the user's writing in a review community. In this paper, we model the joint evolution of user experience, interest in specific item facets, writing style, and rating behavior. This way we can generate individual recommendations that take into account the user's maturity level (e.g."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.02519","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":"2026-05-18T00:44:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HGVQ0Mp+w2scKSmTypJnPizoyVsizNsUQ+3VVw8N+BN0i2r0qa5n9HRlB8mtUXlOuZUjHAfoxA1/DxkoZmCaAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T09:03:46.368839Z"},"content_sha256":"0cc9bd8bad39ecd2fe20a4a3e20701215f36b323b129106087c4f6132292e976","schema_version":"1.0","event_id":"sha256:0cc9bd8bad39ecd2fe20a4a3e20701215f36b323b129106087c4f6132292e976"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JVDEEKCORM75CGRLO6IWMVO5QC/bundle.json","state_url":"https://pith.science/pith/JVDEEKCORM75CGRLO6IWMVO5QC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JVDEEKCORM75CGRLO6IWMVO5QC/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":"2026-05-28T09:03:46Z","links":{"resolver":"https://pith.science/pith/JVDEEKCORM75CGRLO6IWMVO5QC","bundle":"https://pith.science/pith/JVDEEKCORM75CGRLO6IWMVO5QC/bundle.json","state":"https://pith.science/pith/JVDEEKCORM75CGRLO6IWMVO5QC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JVDEEKCORM75CGRLO6IWMVO5QC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:JVDEEKCORM75CGRLO6IWMVO5QC","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":"8ec27b24e0ebafd018f44dd868ac0fee74b0901a3d0f6dc351d5a4e40ed5fa63","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":"2017-05-06T19:22:41Z","title_canon_sha256":"549499475bf35f9733e56d880d276c5797392011badafe1a2ae4df44dc194dd7"},"schema_version":"1.0","source":{"id":"1705.02519","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.02519","created_at":"2026-05-18T00:44:34Z"},{"alias_kind":"arxiv_version","alias_value":"1705.02519v1","created_at":"2026-05-18T00:44:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.02519","created_at":"2026-05-18T00:44:34Z"},{"alias_kind":"pith_short_12","alias_value":"JVDEEKCORM75","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JVDEEKCORM75CGRL","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JVDEEKCO","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:0cc9bd8bad39ecd2fe20a4a3e20701215f36b323b129106087c4f6132292e976","target":"graph","created_at":"2026-05-18T00:44:34Z","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":"Current recommender systems exploit user and item similarities by collaborative filtering. Some advanced methods also consider the temporal evolution of item ratings as a global background process. However, all prior methods disregard the individual evolution of a user's experience level and how this is expressed in the user's writing in a review community. In this paper, we model the joint evolution of user experience, interest in specific item facets, writing style, and rating behavior. This way we can generate individual recommendations that take into account the user's maturity level (e.g.","authors_text":"Gerhard Weikum, Hemank Lamba, 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":"2017-05-06T19:22:41Z","title":"Item Recommendation with Evolving User Preferences and Experience"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.02519","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:f0079a5e59ab89df3ecae56277a253fd32cb8fa72da01ac6dd0d43c017e74b4d","target":"record","created_at":"2026-05-18T00:44:34Z","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":"8ec27b24e0ebafd018f44dd868ac0fee74b0901a3d0f6dc351d5a4e40ed5fa63","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":"2017-05-06T19:22:41Z","title_canon_sha256":"549499475bf35f9733e56d880d276c5797392011badafe1a2ae4df44dc194dd7"},"schema_version":"1.0","source":{"id":"1705.02519","kind":"arxiv","version":1}},"canonical_sha256":"4d4642284e8b3fd11a2b77916655dd8095cd24624d00f46c39de3187199c7a9b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4d4642284e8b3fd11a2b77916655dd8095cd24624d00f46c39de3187199c7a9b","first_computed_at":"2026-05-18T00:44:34.956734Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:44:34.956734Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v2C1O/pNqw8T3tFYZwo+J374hJskdBRdZAAK/FLolXj8bZWjER2SlLcrz2NAdaEseIsQ4VRHihB0BFyhqgCKAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:44:34.957148Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.02519","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f0079a5e59ab89df3ecae56277a253fd32cb8fa72da01ac6dd0d43c017e74b4d","sha256:0cc9bd8bad39ecd2fe20a4a3e20701215f36b323b129106087c4f6132292e976"],"state_sha256":"5aeed0d3ec29e78db3529cd6774b683f62afd788893bfaaad2a3e8ef0fe7daed"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VUXGaEI1MCntpyi46C4f4aY4Q9byRgaIBQKzrEqc5rrc3p78XsJIKKDXaXeREw5pjoxt7Cc7yVBoaAq3ERdWCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T09:03:46.370925Z","bundle_sha256":"e85d224399b21369e4986b8974034f0561a56e1a2fed08a91b24e058f79a1c9e"}}