{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:CU6F2FIF2JGVM5TAIROLE5ASPM","short_pith_number":"pith:CU6F2FIF","schema_version":"1.0","canonical_sha256":"153c5d1505d24d567660445cb274127b268a54d99fd9da234850fb0c262e760c","source":{"kind":"arxiv","id":"1704.04576","version":1},"attestation_state":"computed","paper":{"title":"NEXT: A Neural Network Framework for Next POI Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.IR","authors_text":"Aixin Sun, Chenliang Li, Dengpan Ye, Xiangyang Luo, Zhiqian Zhang, Zhiyong Wu","submitted_at":"2017-04-15T04:00:53Z","abstract_excerpt":"The task of next POI recommendation has been studied extensively in recent years. However, developing an unified recommendation framework to incorporate multiple factors associated with both POIs and users remains challenging, because of the heterogeneity nature of these information. Further, effective mechanisms to handle cold-start and endow the system with interpretability are also difficult topics. Inspired by the recent success of neural networks in many areas, in this paper, we present a simple but effective neural network framework for next POI recommendation, named NEXT. NEXT is an uni"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1704.04576","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-04-15T04:00:53Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"c307ce6e474512b8dfbd4a6c91cc791e7d4814fe48b6db44b508ce5bfad364dd","abstract_canon_sha256":"e47b0f4bcd8c664593c023283e620885de09009fffc37e9c3685f506f431adc0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:48:12.057971Z","signature_b64":"7yvJAYJUVvXDmheTPG+H4LPz0goQRiEhRJI0blNPonO4BBsPGNNONiuQO/tfU/mIfFBWeDgi4z23DkbbVZ+IBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"153c5d1505d24d567660445cb274127b268a54d99fd9da234850fb0c262e760c","last_reissued_at":"2026-05-17T23:48:12.057262Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:48:12.057262Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"NEXT: A Neural Network Framework for Next POI Recommendation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.IR","authors_text":"Aixin Sun, Chenliang Li, Dengpan Ye, Xiangyang Luo, Zhiqian Zhang, Zhiyong Wu","submitted_at":"2017-04-15T04:00:53Z","abstract_excerpt":"The task of next POI recommendation has been studied extensively in recent years. However, developing an unified recommendation framework to incorporate multiple factors associated with both POIs and users remains challenging, because of the heterogeneity nature of these information. Further, effective mechanisms to handle cold-start and endow the system with interpretability are also difficult topics. Inspired by the recent success of neural networks in many areas, in this paper, we present a simple but effective neural network framework for next POI recommendation, named NEXT. NEXT is an uni"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.04576","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1704.04576","created_at":"2026-05-17T23:48:12.057393+00:00"},{"alias_kind":"arxiv_version","alias_value":"1704.04576v1","created_at":"2026-05-17T23:48:12.057393+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.04576","created_at":"2026-05-17T23:48:12.057393+00:00"},{"alias_kind":"pith_short_12","alias_value":"CU6F2FIF2JGV","created_at":"2026-05-18T12:31:10.602751+00:00"},{"alias_kind":"pith_short_16","alias_value":"CU6F2FIF2JGVM5TA","created_at":"2026-05-18T12:31:10.602751+00:00"},{"alias_kind":"pith_short_8","alias_value":"CU6F2FIF","created_at":"2026-05-18T12:31:10.602751+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CU6F2FIF2JGVM5TAIROLE5ASPM","json":"https://pith.science/pith/CU6F2FIF2JGVM5TAIROLE5ASPM.json","graph_json":"https://pith.science/api/pith-number/CU6F2FIF2JGVM5TAIROLE5ASPM/graph.json","events_json":"https://pith.science/api/pith-number/CU6F2FIF2JGVM5TAIROLE5ASPM/events.json","paper":"https://pith.science/paper/CU6F2FIF"},"agent_actions":{"view_html":"https://pith.science/pith/CU6F2FIF2JGVM5TAIROLE5ASPM","download_json":"https://pith.science/pith/CU6F2FIF2JGVM5TAIROLE5ASPM.json","view_paper":"https://pith.science/paper/CU6F2FIF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1704.04576&json=true","fetch_graph":"https://pith.science/api/pith-number/CU6F2FIF2JGVM5TAIROLE5ASPM/graph.json","fetch_events":"https://pith.science/api/pith-number/CU6F2FIF2JGVM5TAIROLE5ASPM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CU6F2FIF2JGVM5TAIROLE5ASPM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CU6F2FIF2JGVM5TAIROLE5ASPM/action/storage_attestation","attest_author":"https://pith.science/pith/CU6F2FIF2JGVM5TAIROLE5ASPM/action/author_attestation","sign_citation":"https://pith.science/pith/CU6F2FIF2JGVM5TAIROLE5ASPM/action/citation_signature","submit_replication":"https://pith.science/pith/CU6F2FIF2JGVM5TAIROLE5ASPM/action/replication_record"}},"created_at":"2026-05-17T23:48:12.057393+00:00","updated_at":"2026-05-17T23:48:12.057393+00:00"}