{"id":"https://openalex.org/W4391103910","doi":"https://doi.org/10.1145/3641277","title":"Geography-aware Heterogeneous Graph Contrastive Learning for Travel Recommendation","display_name":"Geography-aware Heterogeneous Graph Contrastive Learning for Travel Recommendation","publication_year":2024,"publication_date":"2024-01-22","ids":{"openalex":"https://openalex.org/W4391103910","doi":"https://doi.org/10.1145/3641277"},"language":"en","primary_location":{"id":"doi:10.1145/3641277","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3641277","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3641277","source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3641277","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100333481","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-5537-8989"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Nanjing Forestry University, Nanjing, China","Nanjing Forestry University College of Information Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-5537-8989","affiliations":[{"raw_affiliation_string":"Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]},{"raw_affiliation_string":"Nanjing Forestry University College of Information Science and Technology, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jie Cao","orcid":"https://orcid.org/0000-0002-7049-5614"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Cao","raw_affiliation_strings":["Hefei University of Technology, Hefei, China","Hefei University of Technology Research Institute of Big Knowledge, China"],"raw_orcid":"https://orcid.org/0000-0002-7049-5614","affiliations":[{"raw_affiliation_string":"Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"Hefei University of Technology Research Institute of Big Knowledge, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081342921","display_name":"Weichao Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weichao Liang","raw_affiliation_strings":["Southwest Jiaotong University, Chengdu, China","Southwest Jiaotong University School of Computing and Artificial Intelligence, China"],"raw_orcid":"https://orcid.org/0000-0001-8035-5255","affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"Southwest Jiaotong University School of Computing and Artificial Intelligence, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039671101","display_name":"Qiaolin Ye","orcid":"https://orcid.org/0000-0002-8793-8610"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaolin Ye","raw_affiliation_strings":["Nanjing Forestry University, Nanjing, China","Nanjing Forestry University College of Information Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-8793-8610","affiliations":[{"raw_affiliation_string":"Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]},{"raw_affiliation_string":"Nanjing Forestry University College of Information Science and Technology, China","institution_ids":["https://openalex.org/I167027274"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100333481"],"corresponding_institution_ids":["https://openalex.org/I167027274"],"apc_list":null,"apc_paid":null,"fwci":2.984,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.91648262,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":"3","first_page":"1","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9944000244140625,"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/T10028","display_name":"Topic Modeling","score":0.9369999766349792,"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/computer-science","display_name":"Computer science","score":0.7726898193359375},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6370643377304077},{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.5919593572616577},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.5635417103767395},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4857533276081085},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46187734603881836},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4327503740787506},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.42404720187187195},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.41152769327163696},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.331983357667923},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32688701152801514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3018604516983032},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16704437136650085},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11574092507362366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7726898193359375},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6370643377304077},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.5919593572616577},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.5635417103767395},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4857533276081085},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46187734603881836},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4327503740787506},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.42404720187187195},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.41152769327163696},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.331983357667923},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32688701152801514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3018604516983032},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16704437136650085},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11574092507362366},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3641277","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3641277","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3641277","source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3641277","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3641277","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3641277","source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[{"id":"https://openalex.org/G7909615692","display_name":null,"funder_award_id":"23KJB520013","funder_id":"https://openalex.org/F4320335440","funder_display_name":"Natural Science Research of Jiangsu Higher Education Institutions of China"},{"id":"https://openalex.org/G848726259","display_name":null,"funder_award_id":"72301144","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320335440","display_name":"Natural Science Research of Jiangsu Higher Education Institutions of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391103910.pdf","grobid_xml":"https://content.openalex.org/works/W4391103910.grobid-xml"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W2042281163","https://openalex.org/W2069065514","https://openalex.org/W2295739661","https://openalex.org/W2381755473","https://openalex.org/W2531563875","https://openalex.org/W2604662567","https://openalex.org/W2756356188","https://openalex.org/W2899457523","https://openalex.org/W2945827670","https://openalex.org/W2951626319","https://openalex.org/W2986515219","https://openalex.org/W3011518473","https://openalex.org/W3045200674","https://openalex.org/W3080292238","https://openalex.org/W3094560411","https://openalex.org/W3094605801","https://openalex.org/W3100278010","https://openalex.org/W3101707147","https://openalex.org/W3108202858","https://openalex.org/W3116626500","https://openalex.org/W3123909522","https://openalex.org/W3153325943","https://openalex.org/W3153496855","https://openalex.org/W3178328486","https://openalex.org/W3187706988","https://openalex.org/W3190020314","https://openalex.org/W3190794503","https://openalex.org/W3193016584","https://openalex.org/W3204479763","https://openalex.org/W3206310679","https://openalex.org/W3217015614","https://openalex.org/W3217176841","https://openalex.org/W4206965199","https://openalex.org/W4221155633","https://openalex.org/W4225889707","https://openalex.org/W4244854391","https://openalex.org/W4251597219","https://openalex.org/W4281747803","https://openalex.org/W4284666445","https://openalex.org/W4284687944","https://openalex.org/W4290877962","https://openalex.org/W4312500648","https://openalex.org/W4321480057","https://openalex.org/W4385614271"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W3092950680","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W3197542405","https://openalex.org/W2418190244","https://openalex.org/W4238861846","https://openalex.org/W3125580266","https://openalex.org/W4285218279"],"abstract_inverted_index":{"Recommendation":[0],"system":[1,125],"concentrates":[2],"on":[3,182,213],"quickly":[4],"matching":[5],"products":[6,47,74],"to":[7,62,85,166,226],"consumer\u2019s":[8],"needs,":[9],"which":[10,83],"plays":[11],"a":[12,27,96,127,209,214],"major":[13],"role":[14],"in":[15,30,89],"improving":[16],"user":[17,137,155],"experiences":[18],"and":[19,33,58,67,71,134,141,156,173,199,217],"increase":[20],"conversion":[21],"rate.":[22],"Travel":[23],"recommendation":[24],"has":[25],"become":[26],"hot":[28],"topic":[29],"both":[31],"industry":[32],"academia":[34],"with":[35,131],"the":[36,39,43,63,122,168,184,191,203,218,227],"development":[37],"of":[38,45,51,65,149,193,205,211],"tourism":[40],"industry.":[41],"Nevertheless,":[42],"selection":[44],"travel":[46,73,117,123,157],"entails":[48],"careful":[49],"consideration":[50],"various":[52],"geographical":[53,132,195],"factors,":[54,196],"such":[55],"as":[56,126,224],"departure":[57,198],"destination.":[59,200],"Meanwhile,":[60],"due":[61],"limitation":[64],"finance":[66],"time,":[68],"users":[69],"browse":[70],"purchase":[72],"less":[75],"frequently":[76],"than":[77],"they":[78],"do":[79],"for":[80,102,115,153],"traditional":[81],"products,":[82],"leads":[84],"data":[86],"sparsity":[87],"problem":[88],"representation":[90,159],"learning.":[91,160],"To":[92],"solve":[93],"these":[94],"challenges,":[95],"novel":[97],"model":[98,121],"named":[99],"GHGCL":[100,206],"(short":[101],"G":[103,107],"eography-aware":[104],"H":[105],"eterogeneous":[106],"raph":[108],"C":[109],"ontrastive":[110],"L":[111],"earning)":[112],"is":[113],"proposed":[114],"recommending":[116],"products.":[118],"Concretely,":[119],"we":[120,145],"recommender":[124],"heterogeneous":[128],"information":[129,133],"network":[130,171],"capture":[135],"diverse":[136],"preferences":[138],"from":[139,190],"local":[140],"high-order":[142],"structures.":[143],"Especially,":[144],"design":[146],"two":[147],"kinds":[148],"contrastive":[150,163,179],"learning":[151,164,180],"tasks":[152],"better":[154],"product":[158],"The":[161,177],"multi-view":[162],"aims":[165],"bridge":[167],"gap":[169],"between":[170,187],"schema":[172],"meta-path":[174,178],"view":[175],"representations.":[176],"focuses":[181],"modeling":[183],"coarse-grained":[185],"commonality":[186],"different":[188,194],"meta-paths":[189],"perspective":[192],"i.e.,":[197],"We":[201],"assess":[202],"performance":[204],"by":[207],"performing":[208],"series":[210],"experiments":[212],"real-world":[215],"dataset,":[216],"results":[219],"clearly":[220],"verify":[221],"its":[222],"superiority":[223],"compared":[225],"baseline":[228],"methods.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}