{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:ZY7J4H3HDTYBAIGQHBEQIRMIG7","short_pith_number":"pith:ZY7J4H3H","canonical_record":{"source":{"id":"1806.05736","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-06-14T20:36:39Z","cross_cats_sorted":[],"title_canon_sha256":"e8591d66c8a91ff1065d6f2f59a4b57b4035f7a1bd5ac14200a6392bbbaa0b12","abstract_canon_sha256":"a13092ef65a4694438d43eb0e805bbc88a7885db67b7b84558292685aa9433a1"},"schema_version":"1.0"},"canonical_sha256":"ce3e9e1f671cf01020d0384904458837d50300d34acd4fd628a3a01fbb20276c","source":{"kind":"arxiv","id":"1806.05736","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.05736","created_at":"2026-05-18T00:13:09Z"},{"alias_kind":"arxiv_version","alias_value":"1806.05736v1","created_at":"2026-05-18T00:13:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.05736","created_at":"2026-05-18T00:13:09Z"},{"alias_kind":"pith_short_12","alias_value":"ZY7J4H3HDTYB","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"ZY7J4H3HDTYBAIGQ","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"ZY7J4H3H","created_at":"2026-05-18T12:33:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:ZY7J4H3HDTYBAIGQHBEQIRMIG7","target":"record","payload":{"canonical_record":{"source":{"id":"1806.05736","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-06-14T20:36:39Z","cross_cats_sorted":[],"title_canon_sha256":"e8591d66c8a91ff1065d6f2f59a4b57b4035f7a1bd5ac14200a6392bbbaa0b12","abstract_canon_sha256":"a13092ef65a4694438d43eb0e805bbc88a7885db67b7b84558292685aa9433a1"},"schema_version":"1.0"},"canonical_sha256":"ce3e9e1f671cf01020d0384904458837d50300d34acd4fd628a3a01fbb20276c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:13:09.594572Z","signature_b64":"Icc7Mq0xY38iyZ/QnMa3ANhHNUUKUbsDkNVGIsNpiIONc74mX/1RVc+iHjhqFeOMAVTX+3uL8VFF6a+GTqWqDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ce3e9e1f671cf01020d0384904458837d50300d34acd4fd628a3a01fbb20276c","last_reissued_at":"2026-05-18T00:13:09.593759Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:13:09.593759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.05736","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":"2026-05-18T00:13:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JID7mTVTOdFwkXCrC4zLmjGzxSaldvnbGE4lzYuxO8N6e53b+hYRU7hlddFSGxIpRKE4/PZQ2bSmRh9V7SpLDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T17:34:07.318227Z"},"content_sha256":"878fbcbcb71945c9767e00b19427deb331c579902b6ea8d017272deb00786afb","schema_version":"1.0","event_id":"sha256:878fbcbcb71945c9767e00b19427deb331c579902b6ea8d017272deb00786afb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:ZY7J4H3HDTYBAIGQHBEQIRMIG7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Personalized Context-Aware Point of Interest Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Fabio Crestani, Mohammad Aliannejadi","submitted_at":"2018-06-14T20:36:39Z","abstract_excerpt":"Personalized recommendation of Points of Interest (POIs) plays a key role in satisfying users on Location-Based Social Networks (LBSNs). In this paper, we propose a probabilistic model to find the mapping between user-annotated tags and locations' taste keywords. Furthermore, we introduce a dataset on locations' contextual appropriateness and demonstrate its usefulness in predicting the contextual relevance of locations. We investigate four approaches to use our proposed mapping for addressing the data sparsity problem: one model to reduce the dimensionality of location taste keywords and thre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.05736","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":"2026-05-18T00:13:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zueCLYyXvZhUMJf+/SjjLLdS068fMdcqLbm8dx+pR7ANzrxCDshOKz+T8WxFfj6gqjczPBXV+UhmLMGD5hHXBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T17:34:07.318810Z"},"content_sha256":"293c865a23415c6cf61003d524cc89c82d250fff69785ff14e7fad534f3a8f42","schema_version":"1.0","event_id":"sha256:293c865a23415c6cf61003d524cc89c82d250fff69785ff14e7fad534f3a8f42"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZY7J4H3HDTYBAIGQHBEQIRMIG7/bundle.json","state_url":"https://pith.science/pith/ZY7J4H3HDTYBAIGQHBEQIRMIG7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZY7J4H3HDTYBAIGQHBEQIRMIG7/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":"2026-06-02T17:34:07Z","links":{"resolver":"https://pith.science/pith/ZY7J4H3HDTYBAIGQHBEQIRMIG7","bundle":"https://pith.science/pith/ZY7J4H3HDTYBAIGQHBEQIRMIG7/bundle.json","state":"https://pith.science/pith/ZY7J4H3HDTYBAIGQHBEQIRMIG7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZY7J4H3HDTYBAIGQHBEQIRMIG7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:ZY7J4H3HDTYBAIGQHBEQIRMIG7","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":"a13092ef65a4694438d43eb0e805bbc88a7885db67b7b84558292685aa9433a1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-06-14T20:36:39Z","title_canon_sha256":"e8591d66c8a91ff1065d6f2f59a4b57b4035f7a1bd5ac14200a6392bbbaa0b12"},"schema_version":"1.0","source":{"id":"1806.05736","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.05736","created_at":"2026-05-18T00:13:09Z"},{"alias_kind":"arxiv_version","alias_value":"1806.05736v1","created_at":"2026-05-18T00:13:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.05736","created_at":"2026-05-18T00:13:09Z"},{"alias_kind":"pith_short_12","alias_value":"ZY7J4H3HDTYB","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_16","alias_value":"ZY7J4H3HDTYBAIGQ","created_at":"2026-05-18T12:33:07Z"},{"alias_kind":"pith_short_8","alias_value":"ZY7J4H3H","created_at":"2026-05-18T12:33:07Z"}],"graph_snapshots":[{"event_id":"sha256:293c865a23415c6cf61003d524cc89c82d250fff69785ff14e7fad534f3a8f42","target":"graph","created_at":"2026-05-18T00:13:09Z","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":"Personalized recommendation of Points of Interest (POIs) plays a key role in satisfying users on Location-Based Social Networks (LBSNs). In this paper, we propose a probabilistic model to find the mapping between user-annotated tags and locations' taste keywords. Furthermore, we introduce a dataset on locations' contextual appropriateness and demonstrate its usefulness in predicting the contextual relevance of locations. We investigate four approaches to use our proposed mapping for addressing the data sparsity problem: one model to reduce the dimensionality of location taste keywords and thre","authors_text":"Fabio Crestani, Mohammad Aliannejadi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-06-14T20:36:39Z","title":"Personalized Context-Aware Point of Interest Recommendation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.05736","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":"sha256:878fbcbcb71945c9767e00b19427deb331c579902b6ea8d017272deb00786afb","target":"record","created_at":"2026-05-18T00:13:09Z","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":"a13092ef65a4694438d43eb0e805bbc88a7885db67b7b84558292685aa9433a1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-06-14T20:36:39Z","title_canon_sha256":"e8591d66c8a91ff1065d6f2f59a4b57b4035f7a1bd5ac14200a6392bbbaa0b12"},"schema_version":"1.0","source":{"id":"1806.05736","kind":"arxiv","version":1}},"canonical_sha256":"ce3e9e1f671cf01020d0384904458837d50300d34acd4fd628a3a01fbb20276c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ce3e9e1f671cf01020d0384904458837d50300d34acd4fd628a3a01fbb20276c","first_computed_at":"2026-05-18T00:13:09.593759Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:13:09.593759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Icc7Mq0xY38iyZ/QnMa3ANhHNUUKUbsDkNVGIsNpiIONc74mX/1RVc+iHjhqFeOMAVTX+3uL8VFF6a+GTqWqDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:13:09.594572Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.05736","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:878fbcbcb71945c9767e00b19427deb331c579902b6ea8d017272deb00786afb","sha256:293c865a23415c6cf61003d524cc89c82d250fff69785ff14e7fad534f3a8f42"],"state_sha256":"45d1b2a4e43b7080e18ce3a78210c025e7ef4e0c864061d451dbea4b33cb9b1f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BPSGO7pYeuvqjzlTMawEqn/MO1SP58tyrPaUsJcoSFB+FW3fzSEXLoc1poaUhgW006lMks2kTKCwWCyOT0egDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T17:34:07.321897Z","bundle_sha256":"b3bf1b00d6ebaa981eafd41ad927cd16b2d2cf1f0a553db2eea8dd6084886e61"}}