{"id":"https://openalex.org/W3201674842","doi":"https://doi.org/10.1109/tits.2021.3113661","title":"Who Will Travel With Me? Personalized Ranking Using Attributed Network Embedding for Pooling","display_name":"Who Will Travel With Me? Personalized Ranking Using Attributed Network Embedding for Pooling","publication_year":2021,"publication_date":"2021-09-27","ids":{"openalex":"https://openalex.org/W3201674842","doi":"https://doi.org/10.1109/tits.2021.3113661","mag":"3201674842"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2021.3113661","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tits.2021.3113661","pdf_url":"https://ieeexplore.ieee.org/ielx7/6979/9853713/09548709.pdf","source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/6979/9853713/09548709.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064826355","display_name":"Lei Tang","orcid":"https://orcid.org/0000-0001-5465-610X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lei Tang","raw_affiliation_strings":["School of Information Engineering, Chang’an University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang’an University, Xi’an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033864788","display_name":"Chuanren Liu","orcid":"https://orcid.org/0000-0001-9030-8495"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zihang Liu","raw_affiliation_strings":["School of Information Engineering, Chang’an University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang’an University, Xi’an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053971403","display_name":"Rongguo Zhang","orcid":"https://orcid.org/0000-0001-6566-8843"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rongguo Zhang","raw_affiliation_strings":["School of Information Engineering, Chang’an University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang’an University, Xi’an, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058411526","display_name":"Zongtao Duan","orcid":"https://orcid.org/0000-0002-9920-7751"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zongtao Duan","raw_affiliation_strings":["School of Information Engineering, Chang’an University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Chang’an University, Xi’an, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045029098","display_name":"Yunji Liang","orcid":"https://orcid.org/0000-0002-8381-8187"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunji Liang","raw_affiliation_strings":["School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5064826355"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2553,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70767074,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"23","issue":"8","first_page":"12311","last_page":"12327"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11942","display_name":"Transportation and Mobility Innovations","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9865999817848206,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7537221908569336},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6087803244590759},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.53800368309021},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5024011135101318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3924655318260193}],"concepts":[{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7537221908569336},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6087803244590759},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.53800368309021},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5024011135101318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3924655318260193}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2021.3113661","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tits.2021.3113661","pdf_url":"https://ieeexplore.ieee.org/ielx7/6979/9853713/09548709.pdf","source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1109/tits.2021.3113661","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tits.2021.3113661","pdf_url":"https://ieeexplore.ieee.org/ielx7/6979/9853713/09548709.pdf","source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Transportation Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6817690905","display_name":null,"funder_award_id":"2019ZDLGY03-09-01","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G7295317457","display_name":null,"funder_award_id":"2019ZDLGY17-08","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"}],"funders":[{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3201674842.pdf","grobid_xml":"https://content.openalex.org/works/W3201674842.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W103340358","https://openalex.org/W584442280","https://openalex.org/W630171999","https://openalex.org/W855132903","https://openalex.org/W1489720431","https://openalex.org/W1522301498","https://openalex.org/W1993912146","https://openalex.org/W2013416264","https://openalex.org/W2019039172","https://openalex.org/W2024988577","https://openalex.org/W2031128290","https://openalex.org/W2047281923","https://openalex.org/W2074623619","https://openalex.org/W2087755929","https://openalex.org/W2156767060","https://openalex.org/W2163599294","https://openalex.org/W2166400748","https://openalex.org/W2343373727","https://openalex.org/W2346450482","https://openalex.org/W2346577885","https://openalex.org/W2521813772","https://openalex.org/W2522004770","https://openalex.org/W2596766982","https://openalex.org/W2597251875","https://openalex.org/W2608945549","https://openalex.org/W2626127376","https://openalex.org/W2716747561","https://openalex.org/W2726526348","https://openalex.org/W2735739238","https://openalex.org/W2742211145","https://openalex.org/W2760815050","https://openalex.org/W2769480762","https://openalex.org/W2770092988","https://openalex.org/W2774397528","https://openalex.org/W2784203924","https://openalex.org/W2803156588","https://openalex.org/W2808361044","https://openalex.org/W2872332010","https://openalex.org/W2890613070","https://openalex.org/W2895737485","https://openalex.org/W2902389162","https://openalex.org/W2904832339","https://openalex.org/W2913312729","https://openalex.org/W2913535562","https://openalex.org/W2930969457","https://openalex.org/W2941717673","https://openalex.org/W2945266622","https://openalex.org/W2950723285","https://openalex.org/W2952281591","https://openalex.org/W2964022985","https://openalex.org/W2964192401","https://openalex.org/W2972269448","https://openalex.org/W2981168838","https://openalex.org/W2997969180","https://openalex.org/W3014137702","https://openalex.org/W3125549756","https://openalex.org/W3153417592","https://openalex.org/W4237294034","https://openalex.org/W4251443860","https://openalex.org/W6600376888","https://openalex.org/W6620283132","https://openalex.org/W6631190155","https://openalex.org/W6682691769","https://openalex.org/W6718367848","https://openalex.org/W6742405896","https://openalex.org/W6765933051","https://openalex.org/W6825526270"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898"],"abstract_inverted_index":{"In":[0,110],"ride":[1],"matching,":[2],"the":[3,34,119,127,159,171,175,179,193,197,211,262,295,312,319],"search":[4],"results":[5,258,304],"can":[6,146,266,309],"be":[7,147],"personalized":[8,41,123,307],"for":[9,36,56,78,118,224,289],"a":[10,14,73,79,88,134,183,189,207,234,249],"particular":[11],"driver.":[12],"Given":[13],"query":[15],"with":[16,63,72,143,158,188,210,261],"trip":[17,155,321],"plans,":[18],"it":[19,98],"is":[20,69,87,129],"advantageous":[21],"to":[22,33,130,132,169],"rank":[23,170,222,277],"potential":[24,137],"riders":[25,60,138,172,223],"in":[26,91,162,178,182,206,244,254,274,280],"terms":[27,92],"of":[28,76,93,121,136,192,199,314],"who":[29,139],"are":[30,50,53,61],"most":[31],"appealing":[32],"driver":[35],"increasing":[37],"occupancy":[38],"rates.":[39],"While":[40],"ranking":[42,308],"approaches":[43],"such":[44,101],"as":[45,102],"collaborative":[46],"filtering":[47],"and":[48,66,145,214,218,221,237,317,323],"factorization":[49],"available,":[51],"they":[52],"not":[54],"suitable":[55],"pooling":[57,290,301],"because":[58],"candidate":[59,90],"associated":[62,215],"different":[64],"preferences,":[65],"their":[67,151],"travel":[68],"sparsely":[70],"distributed":[71,190],"long":[74],"tail":[75],"users":[77],"few":[80],"popular":[81],"destinations.":[82],"The":[83],"user":[84,105,115,204],"embedding":[85,116],"method":[86,241,297],"good":[89],"alleviating":[94],"data":[95],"sparsity,":[96],"but":[97],"has":[99],"issues":[100],"difficulty":[103],"encoding":[104],"preferences":[106,160],"from":[107,252],"rich":[108],"information.":[109],"this":[111,164],"study,":[112],"we":[113,265,293],"explore":[114],"techniques":[117],"purposes":[120],"short-term":[122],"rider":[124],"ranking,":[125],"where":[126],"aim":[128],"present":[131],"drivers":[133,225],"set":[135],"share":[140],"similar":[141],"itineraries":[142,181],"them":[144],"picked":[148],"up":[149],"on":[150,174,227,248,298],"current":[152,287],"route.":[153],"Considering":[154],"requests,":[156],"along":[157],"issued":[161],"advance,":[163],"study":[165],"uses":[166],"attribute":[167,229],"representations":[168],"based":[173],"higher-order":[176],"similarities":[177],"participants\u2019":[180],"three-step":[184],"manner:":[185],"(i)":[186],"start":[187],"representation":[191],"riders\u2019":[194],"preference":[195],"regarding":[196],"cost":[198],"extra":[200],"distance,":[201],"(ii)":[202],"generate":[203],"embeddings":[205],"heterogeneous":[208],"network":[209],"meeting":[212],"points":[213],"waiting":[216,324],"times,":[217],"(iii)":[219],"match":[220],"depending":[226],"an":[228,245],"fusion":[230],"operation":[231],"by":[232],"adopting":[233],"personal":[235],"route":[236],"schedule.":[238],"Our":[239],"proposed":[240,296],"performs":[242],"well":[243],"offline":[246],"estimation":[247],"huge":[250],"dataset":[251],"DiDi":[253],"Chengdu,":[255],"China.":[256],"Experimental":[257],"indicate":[259],"that":[260,306],"learned":[263],"embeddings,":[264],"obtain":[267],"statistically":[268],"significant":[269],"advancements":[270],"(e.g.,":[271],"4.6\u201329.5%":[272],"increase":[273],"mean":[275],"reciprocal":[276],"(MRR);":[278],"2.8\u201317.4%":[279],"normalized":[281],"discounted":[282],"cumulative":[283],"gain":[284],"(nDCG))":[285],"over":[286],"methods":[288],"ranking.":[291],"Furthermore,":[292],"implement":[294],"our":[299],"simulated":[300],"system.":[302],"These":[303],"validate":[305],"undoubtedly":[310],"boost":[311],"number":[313],"trips":[315],"served,":[316],"reduce":[318],"total":[320],"distance":[322],"time.":[325]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}