{"id":"https://openalex.org/W3190867660","doi":"https://doi.org/10.1145/3531267","title":"Time-aware Path Reasoning on Knowledge Graph for Recommendation","display_name":"Time-aware Path Reasoning on Knowledge Graph for Recommendation","publication_year":2022,"publication_date":"2022-05-06","ids":{"openalex":"https://openalex.org/W3190867660","doi":"https://doi.org/10.1145/3531267","mag":"3190867660"},"language":"en","primary_location":{"id":"doi:10.1145/3531267","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3531267","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2108.02634","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101659916","display_name":"Yuyue Zhao","orcid":"https://orcid.org/0000-0002-5298-0309"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyue Zhao","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-5298-0309","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389037","display_name":"Xiang Wang","orcid":"https://orcid.org/0000-0002-6148-6329"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Wang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6148-6329","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362815","display_name":"Jiawei Chen","orcid":"https://orcid.org/0000-0002-4752-2629"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Chen","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-4752-2629","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066198756","display_name":"Yashen Wang","orcid":"https://orcid.org/0000-0001-9414-4985"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yashen Wang","raw_affiliation_strings":["National Engineering Laboratory for Risk Perception and Prevention (RPP), Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9414-4985","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Risk Perception and Prevention (RPP), Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101645554","display_name":"Wei Tang","orcid":"https://orcid.org/0000-0001-6561-7026"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Tang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-6561-7026","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038668215","display_name":"Xiangnan He","orcid":"https://orcid.org/0000-0001-8472-7992"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangnan He","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-8472-7992","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081885053","display_name":"Haiyong Xie","orcid":"https://orcid.org/0000-0003-2084-2697"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyong Xie","raw_affiliation_strings":["Key Laboratory of Cyberculture Content Cognition and Detection, Ministry of Culture and Tourism, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-2084-2697","affiliations":[{"raw_affiliation_string":"Key Laboratory of Cyberculture Content Cognition and Detection, Ministry of Culture and Tourism, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Hefei, China","institution_ids":["https://openalex.org/I183519381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.0175,"has_fulltext":false,"cited_by_count":69,"citation_normalized_percentile":{"value":0.98173808,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"41","issue":"2","first_page":"1","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.6498798727989197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6474549770355225},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.6055587530136108},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5392763614654541},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3653140664100647},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.358985960483551},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3075391352176666},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.05578210949897766}],"concepts":[{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.6498798727989197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6474549770355225},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.6055587530136108},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5392763614654541},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3653140664100647},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.358985960483551},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3075391352176666},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.05578210949897766}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3531267","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3531267","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2108.02634","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.02634","pdf_url":"https://arxiv.org/pdf/2108.02634","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2108.02634","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2108.02634","pdf_url":"https://arxiv.org/pdf/2108.02634","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1338158165","display_name":null,"funder_award_id":"62102382, U19A2079, U19B2026, 62106243, and U19B2036","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7660544766","display_name":null,"funder_award_id":"SQ2021YFC3300088, 2021ZD011802","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":93,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W146900863","https://openalex.org/W178169250","https://openalex.org/W1546503963","https://openalex.org/W1673310716","https://openalex.org/W1832693441","https://openalex.org/W2019448438","https://openalex.org/W2067191022","https://openalex.org/W2072992969","https://openalex.org/W2078021145","https://openalex.org/W2094524282","https://openalex.org/W2097252841","https://openalex.org/W2097747115","https://openalex.org/W2121863487","https://openalex.org/W2126159342","https://openalex.org/W2127795553","https://openalex.org/W2140310134","https://openalex.org/W2161160262","https://openalex.org/W2166237624","https://openalex.org/W2184957013","https://openalex.org/W2250342289","https://openalex.org/W2283196293","https://openalex.org/W2469952266","https://openalex.org/W2483327705","https://openalex.org/W2494566063","https://openalex.org/W2509893387","https://openalex.org/W2573189311","https://openalex.org/W2734755249","https://openalex.org/W2767724106","https://openalex.org/W2769099080","https://openalex.org/W2772021946","https://openalex.org/W2783272285","https://openalex.org/W2783944588","https://openalex.org/W2784476247","https://openalex.org/W2788376297","https://openalex.org/W2792839191","https://openalex.org/W2798331900","https://openalex.org/W2798385737","https://openalex.org/W2798864014","https://openalex.org/W2884134047","https://openalex.org/W2889344053","https://openalex.org/W2890410208","https://openalex.org/W2899457523","https://openalex.org/W2902040508","https://openalex.org/W2902201493","https://openalex.org/W2937556626","https://openalex.org/W2945623882","https://openalex.org/W2949553967","https://openalex.org/W2950275995","https://openalex.org/W2962886429","https://openalex.org/W2962948632","https://openalex.org/W2963367478","https://openalex.org/W2963869731","https://openalex.org/W2964926209","https://openalex.org/W2966349618","https://openalex.org/W2971196067","https://openalex.org/W2982019227","https://openalex.org/W2984100107","https://openalex.org/W2996931760","https://openalex.org/W3003265726","https://openalex.org/W3029587262","https://openalex.org/W3035170973","https://openalex.org/W3035178789","https://openalex.org/W3038439974","https://openalex.org/W3088203142","https://openalex.org/W3091993229","https://openalex.org/W3093922720","https://openalex.org/W3094497946","https://openalex.org/W3098087397","https://openalex.org/W3098649723","https://openalex.org/W3098923689","https://openalex.org/W3099726771","https://openalex.org/W3100790518","https://openalex.org/W3101422495","https://openalex.org/W3101707147","https://openalex.org/W3104353018","https://openalex.org/W3125285427","https://openalex.org/W3129482887","https://openalex.org/W3153218267","https://openalex.org/W3155919942","https://openalex.org/W3158951232","https://openalex.org/W3190867660","https://openalex.org/W3194849385","https://openalex.org/W3195311662","https://openalex.org/W3208791567","https://openalex.org/W3210519732","https://openalex.org/W3214353465","https://openalex.org/W4221146190","https://openalex.org/W4288057803","https://openalex.org/W4289376009","https://openalex.org/W4297971002","https://openalex.org/W4300672471","https://openalex.org/W4312974690"],"related_works":["https://openalex.org/W4379210901","https://openalex.org/W2955624276","https://openalex.org/W2930325941","https://openalex.org/W4402386886","https://openalex.org/W3093426394","https://openalex.org/W3093644965","https://openalex.org/W3092243156","https://openalex.org/W2082353810","https://openalex.org/W3191833430","https://openalex.org/W4292070284"],"abstract_inverted_index":{"Reasoning":[0],"on":[1,110],"knowledge":[2,86],"graph":[3,87],"(KG)":[4],"has":[5],"been":[6],"studied":[7],"for":[8,53,56,92,104],"explainable":[9,22,134],"recommendation":[10,23,69],"due":[11],"to":[12,66,83,125],"its":[13],"ability":[14],"of":[15,63,133],"providing":[16],"explicit":[17],"explanations.":[18,42,72],"However,":[19],"current":[20],"KG-based":[21],"methods":[24],"unfortunately":[25],"ignore":[26],"the":[27,61,118,131],"temporal":[28,64],"information":[29,65],"(such":[30],"as":[31],"purchase":[32],"time,":[33,35],"recommend":[34],"etc.),":[36],"which":[37,59],"may":[38],"result":[39],"in":[40],"unsuitable":[41],"In":[43],"this":[44],"work,":[45],"we":[46,74,96],"propose":[47],"a":[48,98],"novel":[49,99],"Time-aware":[50],"Path":[51],"reasoning":[52,102],"Recommendation":[54],"(TPRec":[55],"short)":[57],"method,":[58],"leverages":[60],"potential":[62],"offer":[67],"better":[68],"with":[70,88],"plausible":[71],"First,":[73],"present":[75],"an":[76],"efficient":[77],"time-aware":[78,89,100],"interaction":[79],"relation":[80],"extraction":[81],"component":[82],"construct":[84],"collaborative":[85],"interactions":[90],"(TCKG":[91],"short),":[93],"and":[94,129],"then":[95],"introduce":[97],"path":[101],"method":[103],"recommendation.":[105,135],"We":[106],"conduct":[107],"extensive":[108],"experiments":[109],"three":[111],"real-world":[112],"datasets.":[113],"The":[114],"results":[115],"demonstrate":[116],"that":[117],"proposed":[119],"TPRec":[120],"could":[121],"successfully":[122],"employ":[123],"TCKG":[124],"achieve":[126],"substantial":[127],"gains":[128],"improve":[130],"quality":[132]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":21},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}