{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:AA6QF4LB3A6RZGEONTZ2C4BFGE","short_pith_number":"pith:AA6QF4LB","canonical_record":{"source":{"id":"1803.08354","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-03-22T13:47:55Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"7e4eb0a175a7540d8e848f098805b0d15989b4d6a20fae4e604aa14cd71facf8","abstract_canon_sha256":"81db7175b9877761cecdf7e13adb39177f37f07cf792b785777059b1f10859b6"},"schema_version":"1.0"},"canonical_sha256":"003d02f161d83d1c988e6cf3a17025311d7a7ee05477957854005af8a6e60483","source":{"kind":"arxiv","id":"1803.08354","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.08354","created_at":"2026-05-17T23:51:44Z"},{"alias_kind":"arxiv_version","alias_value":"1803.08354v2","created_at":"2026-05-17T23:51:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.08354","created_at":"2026-05-17T23:51:44Z"},{"alias_kind":"pith_short_12","alias_value":"AA6QF4LB3A6R","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"AA6QF4LB3A6RZGEO","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"AA6QF4LB","created_at":"2026-05-18T12:32:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:AA6QF4LB3A6RZGEONTZ2C4BFGE","target":"record","payload":{"canonical_record":{"source":{"id":"1803.08354","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-03-22T13:47:55Z","cross_cats_sorted":["cs.SI"],"title_canon_sha256":"7e4eb0a175a7540d8e848f098805b0d15989b4d6a20fae4e604aa14cd71facf8","abstract_canon_sha256":"81db7175b9877761cecdf7e13adb39177f37f07cf792b785777059b1f10859b6"},"schema_version":"1.0"},"canonical_sha256":"003d02f161d83d1c988e6cf3a17025311d7a7ee05477957854005af8a6e60483","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:44.278150Z","signature_b64":"oR6iJrDH9xA/3g3jcUpGLS58HsKir2cYUB4JsYq3HP/7IbwPMpt/rON6cIy9yWdGx3A29DUcEinUiz6t96E0BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"003d02f161d83d1c988e6cf3a17025311d7a7ee05477957854005af8a6e60483","last_reissued_at":"2026-05-17T23:51:44.277603Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:44.277603Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.08354","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:51:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DxQj3yIIoFhJYBdenZakzu4i9ne3MBbMiw04lYgy9BKqPhAnwyVGdszvJ4zY7alRjHaQcULCYHR7Jnmg5EcAAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T20:48:09.272908Z"},"content_sha256":"4599d8d31e2e26996c6115e11f6c758fcba55f0adc28ed51993037549ae6961c","schema_version":"1.0","event_id":"sha256:4599d8d31e2e26996c6115e11f6c758fcba55f0adc28ed51993037549ae6961c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:AA6QF4LB3A6RZGEONTZ2C4BFGE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Venue Suggestion Using Social-Centric Scores","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.SI"],"primary_cat":"cs.IR","authors_text":"Fabio Crestani, Mohammad Aliannejadi","submitted_at":"2018-03-22T13:47:55Z","abstract_excerpt":"User modeling is a very important task for making relevant suggestions of venues to the users. These suggestions are often based on matching the venues' features with the users' preferences, which can be collected from previously visited locations. In this paper, we present a set of relevance scores for making personalized suggestions of points of interest. These scores model each user by focusing on the different types of information extracted from venues that they have previously visited. In particular, we focus on scores extracted from social information available on location-based social n"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.08354","kind":"arxiv","version":2},"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":"2026-05-17T23:51:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hx7QhbolZzhZplQ9xFfBYmS6hEFjbATSYTO0vOZlLSsSl4UC9yKm0zMiKMYvMkFoKL4H1gltFOxF08PtnhNHCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T20:48:09.273262Z"},"content_sha256":"70caf1dca60303735e30542a8ed2daabd261727b261365ff9af9e2c86b02f35c","schema_version":"1.0","event_id":"sha256:70caf1dca60303735e30542a8ed2daabd261727b261365ff9af9e2c86b02f35c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/AA6QF4LB3A6RZGEONTZ2C4BFGE/bundle.json","state_url":"https://pith.science/pith/AA6QF4LB3A6RZGEONTZ2C4BFGE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/AA6QF4LB3A6RZGEONTZ2C4BFGE/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":"2026-06-02T20:48:09Z","links":{"resolver":"https://pith.science/pith/AA6QF4LB3A6RZGEONTZ2C4BFGE","bundle":"https://pith.science/pith/AA6QF4LB3A6RZGEONTZ2C4BFGE/bundle.json","state":"https://pith.science/pith/AA6QF4LB3A6RZGEONTZ2C4BFGE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/AA6QF4LB3A6RZGEONTZ2C4BFGE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:AA6QF4LB3A6RZGEONTZ2C4BFGE","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":"81db7175b9877761cecdf7e13adb39177f37f07cf792b785777059b1f10859b6","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-03-22T13:47:55Z","title_canon_sha256":"7e4eb0a175a7540d8e848f098805b0d15989b4d6a20fae4e604aa14cd71facf8"},"schema_version":"1.0","source":{"id":"1803.08354","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.08354","created_at":"2026-05-17T23:51:44Z"},{"alias_kind":"arxiv_version","alias_value":"1803.08354v2","created_at":"2026-05-17T23:51:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.08354","created_at":"2026-05-17T23:51:44Z"},{"alias_kind":"pith_short_12","alias_value":"AA6QF4LB3A6R","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"AA6QF4LB3A6RZGEO","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"AA6QF4LB","created_at":"2026-05-18T12:32:13Z"}],"graph_snapshots":[{"event_id":"sha256:70caf1dca60303735e30542a8ed2daabd261727b261365ff9af9e2c86b02f35c","target":"graph","created_at":"2026-05-17T23:51:44Z","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":"User modeling is a very important task for making relevant suggestions of venues to the users. These suggestions are often based on matching the venues' features with the users' preferences, which can be collected from previously visited locations. In this paper, we present a set of relevance scores for making personalized suggestions of points of interest. These scores model each user by focusing on the different types of information extracted from venues that they have previously visited. In particular, we focus on scores extracted from social information available on location-based social n","authors_text":"Fabio Crestani, Mohammad Aliannejadi","cross_cats":["cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-03-22T13:47:55Z","title":"Venue Suggestion Using Social-Centric Scores"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.08354","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":"sha256:4599d8d31e2e26996c6115e11f6c758fcba55f0adc28ed51993037549ae6961c","target":"record","created_at":"2026-05-17T23:51:44Z","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":"81db7175b9877761cecdf7e13adb39177f37f07cf792b785777059b1f10859b6","cross_cats_sorted":["cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-03-22T13:47:55Z","title_canon_sha256":"7e4eb0a175a7540d8e848f098805b0d15989b4d6a20fae4e604aa14cd71facf8"},"schema_version":"1.0","source":{"id":"1803.08354","kind":"arxiv","version":2}},"canonical_sha256":"003d02f161d83d1c988e6cf3a17025311d7a7ee05477957854005af8a6e60483","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"003d02f161d83d1c988e6cf3a17025311d7a7ee05477957854005af8a6e60483","first_computed_at":"2026-05-17T23:51:44.277603Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:51:44.277603Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oR6iJrDH9xA/3g3jcUpGLS58HsKir2cYUB4JsYq3HP/7IbwPMpt/rON6cIy9yWdGx3A29DUcEinUiz6t96E0BQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:51:44.278150Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.08354","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4599d8d31e2e26996c6115e11f6c758fcba55f0adc28ed51993037549ae6961c","sha256:70caf1dca60303735e30542a8ed2daabd261727b261365ff9af9e2c86b02f35c"],"state_sha256":"c95381c9d6596259912552259445c066d9f5aa3494900e9c43061c748ea3d2d8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RAuX6kAMfShD0TnYGtF8e7wecZBVBd5b/bc8k0Ulykrcf0qdiuG8Z2e+UDHATOuNmtTJo0dpr4D0TTfhukCLAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T20:48:09.275386Z","bundle_sha256":"30bd0bea620dc715d328a82ed2809fbd544d5947d4edd1c669b0a514a3168899"}}