{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:G5EUL4CZ2IDDGZ4OA4SRHG5E2Y","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":"62c86ada731459aa86b574892079476294d1fa7ccd69da1e025373321a333259","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2018-02-22T08:23:51Z","title_canon_sha256":"73ea35ef7d83022027a5a05efce4e9d38889a138bdbbaa01ab7114cd3525ab06"},"schema_version":"1.0","source":{"id":"1802.07938","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1802.07938","created_at":"2026-05-18T00:22:48Z"},{"alias_kind":"arxiv_version","alias_value":"1802.07938v1","created_at":"2026-05-18T00:22:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.07938","created_at":"2026-05-18T00:22:48Z"},{"alias_kind":"pith_short_12","alias_value":"G5EUL4CZ2IDD","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_16","alias_value":"G5EUL4CZ2IDDGZ4O","created_at":"2026-05-18T12:32:25Z"},{"alias_kind":"pith_short_8","alias_value":"G5EUL4CZ","created_at":"2026-05-18T12:32:25Z"}],"graph_snapshots":[{"event_id":"sha256:6d16daeae923f49fb54319e0a28c3b39525fa74150cd560c05c1ecfb49ed1fc5","target":"graph","created_at":"2026-05-18T00:22:48Z","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":"Although latent factor models (e.g., matrix factorization) achieve good accuracy in rating prediction, they suffer from several problems including cold-start, non-transparency, and suboptimal recommendation for local users or items. In this paper, we employ textual review information with ratings to tackle these limitations. Firstly, we apply a proposed aspect-aware topic model (ATM) on the review text to model user preferences and item features from different aspects, and estimate the aspect importance of a user towards an item. The aspect importance is then integrated into a novel aspect-awa","authors_text":"Lei Zhu, Mohan Kankanhalli, Ying Ding, Zhiyong Cheng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2018-02-22T08:23:51Z","title":"Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.07938","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:b1c64129e3618a776ee82e1ca9ddac2bc20c7e37a947a6d5402baa945705aa98","target":"record","created_at":"2026-05-18T00:22:48Z","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":"62c86ada731459aa86b574892079476294d1fa7ccd69da1e025373321a333259","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2018-02-22T08:23:51Z","title_canon_sha256":"73ea35ef7d83022027a5a05efce4e9d38889a138bdbbaa01ab7114cd3525ab06"},"schema_version":"1.0","source":{"id":"1802.07938","kind":"arxiv","version":1}},"canonical_sha256":"374945f059d20633678e0725139ba4d6179cf443714a8ce9f69fcbdb31b524df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"374945f059d20633678e0725139ba4d6179cf443714a8ce9f69fcbdb31b524df","first_computed_at":"2026-05-18T00:22:48.571638Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:22:48.571638Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mRaxnPIieZ0auuEazzhaR28dfZZulF6hlQ+FH//du2FwlUAiMC8m481+7ky+LdEI+cA1d8g90hApcvzLh0kzAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:22:48.572039Z","signed_message":"canonical_sha256_bytes"},"source_id":"1802.07938","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b1c64129e3618a776ee82e1ca9ddac2bc20c7e37a947a6d5402baa945705aa98","sha256:6d16daeae923f49fb54319e0a28c3b39525fa74150cd560c05c1ecfb49ed1fc5"],"state_sha256":"e10aea3b17e2a5fb2f7a6c4de8f7e0767e9644dcb4a916339d14050cea825e48"}