{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:WWGTFLCAYN6NBXU5UNU4GRIWGP","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":"3fb1ac47f887b6524fac2ae7bc6026ceac582ea95fd46dcd7849f5bd0803bb29","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-14T13:37:03Z","title_canon_sha256":"2e22e183a4009be0774bbd5ce92f2119dbc193c1f35f163e1c826f9305e1695d"},"schema_version":"1.0","source":{"id":"1603.04259","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1603.04259","created_at":"2026-05-18T00:50:22Z"},{"alias_kind":"arxiv_version","alias_value":"1603.04259v3","created_at":"2026-05-18T00:50:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1603.04259","created_at":"2026-05-18T00:50:22Z"},{"alias_kind":"pith_short_12","alias_value":"WWGTFLCAYN6N","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_16","alias_value":"WWGTFLCAYN6NBXU5","created_at":"2026-05-18T12:30:51Z"},{"alias_kind":"pith_short_8","alias_value":"WWGTFLCA","created_at":"2026-05-18T12:30:51Z"}],"graph_snapshots":[{"event_id":"sha256:8f66813948cd27b2df024052ab026cde73f3c7d99f98b2d26170f7f1bb65d77d","target":"graph","created_at":"2026-05-18T00:50:22Z","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":"Many Collaborative Filtering (CF) algorithms are item-based in the sense that they analyze item-item relations in order to produce item similarities. Recently, several works in the field of Natural Language Processing (NLP) suggested to learn a latent representation of words using neural embedding algorithms. Among them, the Skip-gram with Negative Sampling (SGNS), also known as word2vec, was shown to provide state-of-the-art results on various linguistics tasks. In this paper, we show that item-based CF can be cast in the same framework of neural word embedding. Inspired by SGNS, we describe ","authors_text":"Noam Koenigstein, Oren Barkan","cross_cats":["cs.AI","cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-14T13:37:03Z","title":"Item2Vec: Neural Item Embedding for Collaborative Filtering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1603.04259","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:a2c5e7c23e6ed88a858dd2b14844d76e341b4492f69a743bcb6f4b5ccf2cc99e","target":"record","created_at":"2026-05-18T00:50:22Z","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":"3fb1ac47f887b6524fac2ae7bc6026ceac582ea95fd46dcd7849f5bd0803bb29","cross_cats_sorted":["cs.AI","cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-03-14T13:37:03Z","title_canon_sha256":"2e22e183a4009be0774bbd5ce92f2119dbc193c1f35f163e1c826f9305e1695d"},"schema_version":"1.0","source":{"id":"1603.04259","kind":"arxiv","version":3}},"canonical_sha256":"b58d32ac40c37cd0de9da369c3451633d3339448d893255f507088624417a750","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b58d32ac40c37cd0de9da369c3451633d3339448d893255f507088624417a750","first_computed_at":"2026-05-18T00:50:22.604230Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:50:22.604230Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+PQ1jZcmKj0I/4a+XpTUsS1jOYvfXO1GQ2OovYGSLeJvUgfVoPBEHTLw4esLDJ2l9/mGBnDIiS2iX2192ZpmBA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:50:22.604931Z","signed_message":"canonical_sha256_bytes"},"source_id":"1603.04259","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a2c5e7c23e6ed88a858dd2b14844d76e341b4492f69a743bcb6f4b5ccf2cc99e","sha256:8f66813948cd27b2df024052ab026cde73f3c7d99f98b2d26170f7f1bb65d77d"],"state_sha256":"cb780b4d8ae6cdfbc756ce1cb8258017b69930fd3df4d3ca4b5706fb5e24436c"}