{"id":"https://openalex.org/W4404207701","doi":"https://doi.org/10.1007/s40747-024-01611-z","title":"Travel route recommendation with a trajectory learning model","display_name":"Travel route recommendation with a trajectory learning model","publication_year":2024,"publication_date":"2024-11-09","ids":{"openalex":"https://openalex.org/W4404207701","doi":"https://doi.org/10.1007/s40747-024-01611-z"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01611-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01611-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01611-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01611-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101200222","display_name":"Xiangping Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangping Wu","raw_affiliation_strings":["College of Information Engineering, China Jiliang University, Hangzhou, 310018, China","Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, Jiliang University, Hangzhou, 310018, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, China Jiliang University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I55538621"]},{"raw_affiliation_string":"Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, Jiliang University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459168","display_name":"Zheng Zhang","orcid":"https://orcid.org/0000-0003-1470-6998"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Zhang","raw_affiliation_strings":["College of Information Engineering, China Jiliang University, Hangzhou, 310018, China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, China Jiliang University, Hangzhou, 310018, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092007941","display_name":"Wangjun Wan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wangjun Wan","raw_affiliation_strings":["Technology Center of Hangzhou Customs District, Hangzhou, 311202, China"],"affiliations":[{"raw_affiliation_string":"Technology Center of Hangzhou Customs District, Hangzhou, 311202, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101200222"],"corresponding_institution_ids":["https://openalex.org/I55538621"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":1.7795,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86390345,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9919999837875366,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7677266001701355},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.7514134645462036},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5169476866722107},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4095696806907654},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10716071724891663}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7677266001701355},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.7514134645462036},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5169476866722107},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4095696806907654},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10716071724891663},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01611-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01611-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01611-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:28b3a0921e754212adc6a4a70564b209","is_oa":true,"landing_page_url":"https://doaj.org/article/28b3a0921e754212adc6a4a70564b209","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-13 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01611-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01611-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01611-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex &amp; Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404207701.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1646403467","https://openalex.org/W2017694061","https://openalex.org/W2061651455","https://openalex.org/W2078896366","https://openalex.org/W2082418604","https://openalex.org/W2118023920","https://openalex.org/W2155856926","https://openalex.org/W2166474905","https://openalex.org/W2353775045","https://openalex.org/W2741460999","https://openalex.org/W2768256553","https://openalex.org/W2783028794","https://openalex.org/W2787128344","https://openalex.org/W2788114581","https://openalex.org/W2799180173","https://openalex.org/W2944851425","https://openalex.org/W2947764539","https://openalex.org/W2952785130","https://openalex.org/W2972599895","https://openalex.org/W3032453802","https://openalex.org/W3088927520","https://openalex.org/W3214908026","https://openalex.org/W3216496323","https://openalex.org/W4210769086","https://openalex.org/W4220892504","https://openalex.org/W4220957759","https://openalex.org/W4286751199","https://openalex.org/W4309636909","https://openalex.org/W4320004505","https://openalex.org/W4383531746","https://openalex.org/W4388105896","https://openalex.org/W4389356776","https://openalex.org/W6604896550"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4323768008"],"abstract_inverted_index":{"This":[0],"study":[1],"addresses":[2],"a":[3,23,27,31,34,52,110,164,200],"critical":[4],"issue":[5],"in":[6,43,132,226,240],"location-based":[7],"services:":[8],"travel":[9],"route":[10,21,49,56,79,129,241],"recommendation.":[11,242],"It":[12],"leverages":[13],"historical":[14],"trajectory":[15,45],"data":[16,46],"to":[17,30,72,85,169,194,206],"predict":[18,195],"the":[19,40,75,92,125,151,157,175,196,234],"actual":[20],"on":[22,119,215],"road":[24,87,142,158,176],"network":[25,88,143],"from":[26,174],"starting":[28],"point":[29],"destination,":[32],"given":[33],"specific":[35],"departure":[36],"time.":[37],"However,":[38],"capturing":[39],"latent":[41],"patterns":[42],"complex":[44,133],"for":[47,114],"accurate":[48],"planning":[50],"presents":[51],"significant":[53],"challenge.":[54],"Existing":[55],"recommendation":[57,101],"methods":[58,225],"commonly":[59],"face":[60],"two":[61],"major":[62],"problems:":[63],"first,":[64],"inadequate":[65],"integration":[66],"of":[67,95,127,156,172,238],"multi-source":[68,137],"data,":[69],"which":[70,90],"fails":[71],"fully":[73],"consider":[74],"potential":[76],"factors":[77],"affecting":[78],"choice;":[80],"and":[81,98,149,153,183,208,236],"second,":[82],"limited":[83],"capability":[84],"capture":[86],"characteristics,":[89],"restricts":[91],"effective":[93],"application":[94],"node":[96],"features":[97,171,180],"negatively":[99],"impacts":[100],"accuracy.":[102],"To":[103],"address":[104],"these":[105],"issues,":[106],"this":[107,189],"research":[108],"introduces":[109],"Trajectory":[111],"Learning":[112],"Model":[113],"Route":[115],"Recommendation":[116],"(TLMR)":[117],"based":[118],"deep":[120],"learning":[121],"techniques.":[122],"TLMR":[123,145,161,222,239],"enhances":[124],"understanding":[126],"user":[128],"choice":[130],"behavior":[131],"environments":[134],"by":[135,140],"integrating":[136],"data.":[138],"Moreover,":[139],"incorporating":[141,178],"features,":[144],"more":[146],"effectively":[147],"captures":[148],"utilizes":[150],"structural":[152],"dynamic":[154],"information":[155,190],"network.":[159],"Specifically,":[160],"first":[162],"employs":[163],"Position-aware":[165],"Graph":[166],"Neural":[167],"Network":[168],"learn":[170],"intersections":[173],"network,":[177],"context":[179],"like":[181],"weather":[182],"traffic":[184],"conditions.":[185],"Then,":[186],"it":[187],"integrates":[188],"through":[191],"neural":[192],"networks":[193],"next":[197],"intersection.":[198],"Finally,":[199],"beam":[201],"search":[202],"algorithm":[203],"is":[204],"applied":[205],"generate":[207],"recommend":[209],"multiple":[210],"candidate":[211],"routes.":[212],"Extensive":[213],"experiments":[214],"four":[216,227],"large":[217],"real-world":[218],"datasets":[219],"demonstrate":[220],"that":[221],"outperforms":[223],"existing":[224],"key":[228],"performance":[229],"metrics.":[230],"These":[231],"results":[232],"prove":[233],"effectiveness":[235],"superiority":[237]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}
