{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:XEIF4Y47LPSOFKF5WYKHXT3TQ4","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":"1cc04803b3a508e43557064ad9ee6d2d0f5938266a79274ce4fd2d46e0c7b07c","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-08-13T13:32:50Z","title_canon_sha256":"185a8d7f8398f9f70106f1f86bd760696f39383a9910e529fb78b769ed3250ed"},"schema_version":"1.0","source":{"id":"1908.05609","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.05609","created_at":"2026-07-04T23:56:54Z"},{"alias_kind":"arxiv_version","alias_value":"1908.05609v1","created_at":"2026-07-04T23:56:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.05609","created_at":"2026-07-04T23:56:54Z"},{"alias_kind":"pith_short_12","alias_value":"XEIF4Y47LPSO","created_at":"2026-07-04T23:56:54Z"},{"alias_kind":"pith_short_16","alias_value":"XEIF4Y47LPSOFKF5","created_at":"2026-07-04T23:56:54Z"},{"alias_kind":"pith_short_8","alias_value":"XEIF4Y47","created_at":"2026-07-04T23:56:54Z"}],"graph_snapshots":[{"event_id":"sha256:73a69ce533dc934be910dc61cb03fe27420bb5988d3305a6d67455c708c6f91f","target":"graph","created_at":"2026-07-04T23:56:54Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1908.05609/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"How to make the best decision between the opinions and tastes of your friends and acquaintances? Therefore, recommender systems are used to solve such issues. The common algorithms use a similarity measure to predict active users' tastes over a particular item. According to the cold start and data sparsity problems, these systems cannot predict and suggest particular items to users. In this paper, we introduce a new recommender system is able to find user preferences and based on it, provides the recommendations. Our proposed system called CUPCF is a combination of two similarity measures in c","authors_text":"Mostafa Khalaji, Nilufar Mohammadnejad","cross_cats":["cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-08-13T13:32:50Z","title":"CUPCF: Combining Users Preferences in Collaborative Filtering for Better Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.05609","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":"sha256:66f659bf4bf2abf4249e11ac82e0f205b28b7a8bd73f4725411d3e17d51a9791","target":"record","created_at":"2026-07-04T23:56:54Z","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":"1cc04803b3a508e43557064ad9ee6d2d0f5938266a79274ce4fd2d46e0c7b07c","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-08-13T13:32:50Z","title_canon_sha256":"185a8d7f8398f9f70106f1f86bd760696f39383a9910e529fb78b769ed3250ed"},"schema_version":"1.0","source":{"id":"1908.05609","kind":"arxiv","version":1}},"canonical_sha256":"b9105e639f5be4e2a8bdb6147bcf738711278c018c600382566f823066d2fba3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b9105e639f5be4e2a8bdb6147bcf738711278c018c600382566f823066d2fba3","first_computed_at":"2026-07-04T23:56:54.323864Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:56:54.323864Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"T3OCCWTqrnqnRIo16jDmk1/bIvGmdeKrwNGf3hNAYo9guZgJ3LegZ2NgfYXy1QeWjaZFSTbn+ul7TEBG3j1ECw==","signature_status":"signed_v1","signed_at":"2026-07-04T23:56:54.324312Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.05609","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:66f659bf4bf2abf4249e11ac82e0f205b28b7a8bd73f4725411d3e17d51a9791","sha256:73a69ce533dc934be910dc61cb03fe27420bb5988d3305a6d67455c708c6f91f"],"state_sha256":"d61c3c5405534294e00458dcb0e0b33e0c3b9ab88a346499c85235cab98d4080"}