{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:GJ3DLMN3JVPTOSR3U7J76VV2PF","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":"ac78245b9caadffc0ab1d21ec5d48b651ce4e9a6a9c8e00cc03860e9420751b6","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2017-09-03T16:19:36Z","title_canon_sha256":"f62175d444a5296f9bf447be385f5f713f1d9fa5e156b26751bdccfab645fd71"},"schema_version":"1.0","source":{"id":"1709.01584","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.01584","created_at":"2026-05-18T00:35:50Z"},{"alias_kind":"arxiv_version","alias_value":"1709.01584v2","created_at":"2026-05-18T00:35:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.01584","created_at":"2026-05-18T00:35:50Z"},{"alias_kind":"pith_short_12","alias_value":"GJ3DLMN3JVPT","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"GJ3DLMN3JVPTOSR3","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"GJ3DLMN3","created_at":"2026-05-18T12:31:18Z"}],"graph_snapshots":[{"event_id":"sha256:027a8e1155bfdb8a1ab75dbb3f079118a619bfbfe6e710e997397aea045341ca","target":"graph","created_at":"2026-05-18T00:35:50Z","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":"Item cold-start is a classical issue in recommender systems that affects anime and manga recommendations as well. This problem can be framed as follows: how to predict whether a user will like a manga that received few ratings from the community? Content-based techniques can alleviate this issue but require extra information, that is usually expensive to gather. In this paper, we use a deep learning technique, Illustration2Vec, to easily extract tag information from the manga and anime posters (e.g., sword, or ponytail). We propose BALSE (Blended Alternate Least Squares with Explanation), a ne","authors_text":"Basile Clement, Florian Yger, Hisashi Kashima, Jill-J\\^enn Vie, K\\'evin Cocchi, Ryan Lahfa, Thomas Chalumeau","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2017-09-03T16:19:36Z","title":"Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.01584","kind":"arxiv","version":2},"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":"sha256:982c870cc362be9c9e019c7652520c2767ff61c112d3a5ed39c35f322664e7f4","target":"record","created_at":"2026-05-18T00:35:50Z","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":"ac78245b9caadffc0ab1d21ec5d48b651ce4e9a6a9c8e00cc03860e9420751b6","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2017-09-03T16:19:36Z","title_canon_sha256":"f62175d444a5296f9bf447be385f5f713f1d9fa5e156b26751bdccfab645fd71"},"schema_version":"1.0","source":{"id":"1709.01584","kind":"arxiv","version":2}},"canonical_sha256":"327635b1bb4d5f374a3ba7d3ff56ba796f8bccc6d0d0b0dc80d4019be3da223c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"327635b1bb4d5f374a3ba7d3ff56ba796f8bccc6d0d0b0dc80d4019be3da223c","first_computed_at":"2026-05-18T00:35:50.840247Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:35:50.840247Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HySKtQ2kxF4PGDNe7bbZrIBqiJXjvPGAkr8gzxXj2W8Jc5SKBGrqlebwgiAvwoM9rhzkFth7W2QP98AcYmztDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:35:50.840833Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.01584","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:982c870cc362be9c9e019c7652520c2767ff61c112d3a5ed39c35f322664e7f4","sha256:027a8e1155bfdb8a1ab75dbb3f079118a619bfbfe6e710e997397aea045341ca"],"state_sha256":"bd88927306538cc101ade7a2ac7062d44036f2b426ae346a67231d3c3839a7d9"}