{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:6PAEURQU4UMEAFANG4M2QDWDAS","short_pith_number":"pith:6PAEURQU","canonical_record":{"source":{"id":"1606.07828","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2016-06-24T20:15:28Z","cross_cats_sorted":[],"title_canon_sha256":"50de239aad7af666ae584494ac961daf7a881bfa9d69fbec674d98b036c90681","abstract_canon_sha256":"6d5f1f94f6ab09a8eb69fe75f9e4d71d2caab57f88f630ce260b60e440a1ecfb"},"schema_version":"1.0"},"canonical_sha256":"f3c04a4614e51840140d3719a80ec3048389ca71c22e08c7dfa13d0d312a5106","source":{"kind":"arxiv","id":"1606.07828","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.07828","created_at":"2026-05-18T01:11:54Z"},{"alias_kind":"arxiv_version","alias_value":"1606.07828v1","created_at":"2026-05-18T01:11:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.07828","created_at":"2026-05-18T01:11:54Z"},{"alias_kind":"pith_short_12","alias_value":"6PAEURQU4UME","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_16","alias_value":"6PAEURQU4UMEAFAN","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_8","alias_value":"6PAEURQU","created_at":"2026-05-18T12:30:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:6PAEURQU4UMEAFANG4M2QDWDAS","target":"record","payload":{"canonical_record":{"source":{"id":"1606.07828","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2016-06-24T20:15:28Z","cross_cats_sorted":[],"title_canon_sha256":"50de239aad7af666ae584494ac961daf7a881bfa9d69fbec674d98b036c90681","abstract_canon_sha256":"6d5f1f94f6ab09a8eb69fe75f9e4d71d2caab57f88f630ce260b60e440a1ecfb"},"schema_version":"1.0"},"canonical_sha256":"f3c04a4614e51840140d3719a80ec3048389ca71c22e08c7dfa13d0d312a5106","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:11:54.322854Z","signature_b64":"ng25qwdUU5EnRwcq+MghDgBLOsii7H7eKO4ebkwaTMjDwsxD3XxxLhs39ivStPgJBXjafB/1fZCGIgCZNUkSDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f3c04a4614e51840140d3719a80ec3048389ca71c22e08c7dfa13d0d312a5106","last_reissued_at":"2026-05-18T01:11:54.322521Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:11:54.322521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1606.07828","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:11:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tTMO9DooXGx93YZxwTlEetFRuM1r9StdCIwo7EEikilXt6dWaojbTHUIvUFn6Ins3qM8x5Yx6iD9U4TCU1UICQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T07:38:59.403800Z"},"content_sha256":"35de70c2cec7b873facf5a44d64f811f8aec4f05bda10a7a5cd06d2b04986907","schema_version":"1.0","event_id":"sha256:35de70c2cec7b873facf5a44d64f811f8aec4f05bda10a7a5cd06d2b04986907"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:6PAEURQU4UMEAFANG4M2QDWDAS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Modelling User Preferences using Word Embeddings for Context-Aware Venue Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Craig Macdonald, Iadh Ounis, Jarana Manotumruksa","submitted_at":"2016-06-24T20:15:28Z","abstract_excerpt":"Venue recommendation aims to assist users by making personalised suggestions of venues to visit, building upon data available from location-based social networks (LBSNs) such as Foursquare. A particular challenge for this task is context-aware venue recommendation (CAVR), which additionally takes the surrounding context of the user (e.g. the user's location and the time of day) into account in order to provide more relevant venue suggestions. To address the challenges of CAVR, we describe two approaches that exploit word embedding techniques to infer the vector-space representations of venues,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.07828","kind":"arxiv","version":1},"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":"2026-05-18T01:11:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fa9gwVqIod0Z6T44N/uJdMxxyjH8Gs4TJsTUPa7Y6nwJ34e1aZUBJvACrVWE8Tn5mWDGUL4g6A5tqBB+revjBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T07:38:59.404581Z"},"content_sha256":"178c14ca1dc5d9269f05f8aa90e964a2ea38e43817671ec5c9aeb18c3a3ca3cc","schema_version":"1.0","event_id":"sha256:178c14ca1dc5d9269f05f8aa90e964a2ea38e43817671ec5c9aeb18c3a3ca3cc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6PAEURQU4UMEAFANG4M2QDWDAS/bundle.json","state_url":"https://pith.science/pith/6PAEURQU4UMEAFANG4M2QDWDAS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6PAEURQU4UMEAFANG4M2QDWDAS/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":"2026-06-09T07:38:59Z","links":{"resolver":"https://pith.science/pith/6PAEURQU4UMEAFANG4M2QDWDAS","bundle":"https://pith.science/pith/6PAEURQU4UMEAFANG4M2QDWDAS/bundle.json","state":"https://pith.science/pith/6PAEURQU4UMEAFANG4M2QDWDAS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6PAEURQU4UMEAFANG4M2QDWDAS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:6PAEURQU4UMEAFANG4M2QDWDAS","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":"6d5f1f94f6ab09a8eb69fe75f9e4d71d2caab57f88f630ce260b60e440a1ecfb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2016-06-24T20:15:28Z","title_canon_sha256":"50de239aad7af666ae584494ac961daf7a881bfa9d69fbec674d98b036c90681"},"schema_version":"1.0","source":{"id":"1606.07828","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.07828","created_at":"2026-05-18T01:11:54Z"},{"alias_kind":"arxiv_version","alias_value":"1606.07828v1","created_at":"2026-05-18T01:11:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.07828","created_at":"2026-05-18T01:11:54Z"},{"alias_kind":"pith_short_12","alias_value":"6PAEURQU4UME","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_16","alias_value":"6PAEURQU4UMEAFAN","created_at":"2026-05-18T12:30:01Z"},{"alias_kind":"pith_short_8","alias_value":"6PAEURQU","created_at":"2026-05-18T12:30:01Z"}],"graph_snapshots":[{"event_id":"sha256:178c14ca1dc5d9269f05f8aa90e964a2ea38e43817671ec5c9aeb18c3a3ca3cc","target":"graph","created_at":"2026-05-18T01:11:54Z","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"},"paper":{"abstract_excerpt":"Venue recommendation aims to assist users by making personalised suggestions of venues to visit, building upon data available from location-based social networks (LBSNs) such as Foursquare. A particular challenge for this task is context-aware venue recommendation (CAVR), which additionally takes the surrounding context of the user (e.g. the user's location and the time of day) into account in order to provide more relevant venue suggestions. To address the challenges of CAVR, we describe two approaches that exploit word embedding techniques to infer the vector-space representations of venues,","authors_text":"Craig Macdonald, Iadh Ounis, Jarana Manotumruksa","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2016-06-24T20:15:28Z","title":"Modelling User Preferences using Word Embeddings for Context-Aware Venue Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.07828","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":"sha256:35de70c2cec7b873facf5a44d64f811f8aec4f05bda10a7a5cd06d2b04986907","target":"record","created_at":"2026-05-18T01:11:54Z","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":"6d5f1f94f6ab09a8eb69fe75f9e4d71d2caab57f88f630ce260b60e440a1ecfb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2016-06-24T20:15:28Z","title_canon_sha256":"50de239aad7af666ae584494ac961daf7a881bfa9d69fbec674d98b036c90681"},"schema_version":"1.0","source":{"id":"1606.07828","kind":"arxiv","version":1}},"canonical_sha256":"f3c04a4614e51840140d3719a80ec3048389ca71c22e08c7dfa13d0d312a5106","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f3c04a4614e51840140d3719a80ec3048389ca71c22e08c7dfa13d0d312a5106","first_computed_at":"2026-05-18T01:11:54.322521Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:11:54.322521Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ng25qwdUU5EnRwcq+MghDgBLOsii7H7eKO4ebkwaTMjDwsxD3XxxLhs39ivStPgJBXjafB/1fZCGIgCZNUkSDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:11:54.322854Z","signed_message":"canonical_sha256_bytes"},"source_id":"1606.07828","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:35de70c2cec7b873facf5a44d64f811f8aec4f05bda10a7a5cd06d2b04986907","sha256:178c14ca1dc5d9269f05f8aa90e964a2ea38e43817671ec5c9aeb18c3a3ca3cc"],"state_sha256":"86d45192a4e2d0a0f9d8481454a56a7563ef4a515ee55d88a29f98807131e85e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9OGJSogzZPwAZrlhrIVh491RspjB2qAXTtBrxbUXyxzrGoEG0pBtv5LKoY6xJKvhym4KbucDJuX1/jOnIXYiDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T07:38:59.408395Z","bundle_sha256":"effa89a0cadb4d299f9e202591909ac5190f57d1f717cf15df873fbc56691ee8"}}