{"id":"https://openalex.org/W3170739265","doi":"https://doi.org/10.1145/3447548.3467178","title":"User Consumption Intention Prediction in Meituan","display_name":"User Consumption Intention Prediction in Meituan","publication_year":2021,"publication_date":"2021-08-13","ids":{"openalex":"https://openalex.org/W3170739265","doi":"https://doi.org/10.1145/3447548.3467178","mag":"3170739265"},"language":"en","primary_location":{"id":"doi:10.1145/3447548.3467178","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066530003","display_name":"Yukun Ping","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yukun Ping","raw_affiliation_strings":["Tsinghua University & Meituan Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University & Meituan Inc., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078622343","display_name":"Chen Gao","orcid":"https://orcid.org/0000-0002-7561-5646"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Gao","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089339915","display_name":"Taichi Liu","orcid":"https://orcid.org/0009-0007-0273-4648"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taichi Liu","raw_affiliation_strings":["Tsinghua University & Meituan Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University & Meituan Inc., Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055185871","display_name":"Xiaoyi Du","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoyi Du","raw_affiliation_strings":["Meituan Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014828450","display_name":"Hengliang Luo","orcid":"https://orcid.org/0000-0001-8597-8873"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hengliang Luo","raw_affiliation_strings":["Meituan Inc., Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meituan Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044100655","display_name":"Depeng Jin","orcid":"https://orcid.org/0000-0003-0419-5514"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Depeng Jin","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355277","display_name":"Yong Li","orcid":"https://orcid.org/0000-0001-5617-1659"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5066530003"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":4.5501,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.94914471,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3472","last_page":"3482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9976000189781189,"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/T11478","display_name":"Caching and Content Delivery","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7908816337585449},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.6597638130187988},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6020593047142029},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5673713684082031},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5496821403503418},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.48812350630760193},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4289410710334778},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4251730442047119},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41064226627349854},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4033876061439514},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36058294773101807},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08727103471755981}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7908816337585449},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.6597638130187988},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6020593047142029},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5673713684082031},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5496821403503418},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.48812350630760193},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4289410710334778},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4251730442047119},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41064226627349854},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4033876061439514},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36058294773101807},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08727103471755981},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447548.3467178","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2023205960","https://openalex.org/W2054141820","https://openalex.org/W2061873838","https://openalex.org/W2145979309","https://openalex.org/W2187089797","https://openalex.org/W2295598076","https://openalex.org/W2575006718","https://openalex.org/W2604230684","https://openalex.org/W2605350416","https://openalex.org/W2788376297","https://openalex.org/W2808668898","https://openalex.org/W2911286998","https://openalex.org/W2949547296","https://openalex.org/W2951001079","https://openalex.org/W2963707260","https://openalex.org/W2965857891","https://openalex.org/W2970398671","https://openalex.org/W2997310152","https://openalex.org/W3034418242","https://openalex.org/W3034471508","https://openalex.org/W3035287707","https://openalex.org/W3035642447","https://openalex.org/W3036491571","https://openalex.org/W3044311607","https://openalex.org/W3081362488","https://openalex.org/W3083166789","https://openalex.org/W3094210847","https://openalex.org/W3100324210","https://openalex.org/W3102476541","https://openalex.org/W3106063097","https://openalex.org/W3156622960","https://openalex.org/W3159096087"],"related_works":["https://openalex.org/W11484169","https://openalex.org/W12052983","https://openalex.org/W6362254","https://openalex.org/W5459358","https://openalex.org/W12384112","https://openalex.org/W9472835","https://openalex.org/W24270","https://openalex.org/W10183233","https://openalex.org/W13303079","https://openalex.org/W1319706"],"abstract_inverted_index":{"For":[0],"online":[1,165],"life":[2],"service":[3],"platforms,":[4],"such":[5],"as":[6,11],"Meituan,":[7,71],"user":[8,32,60,111,139],"consumption":[9,17,33,41,43,98,106],"intention,":[10],"the":[12,87,92,115,121,154,173],"internal":[13],"driving":[14],"force":[15],"of":[16,78,94,170,175],"behaviors,":[18,42],"plays":[19],"a":[20,74,128],"significant":[21],"role":[22],"in":[23,70],"understanding":[24],"and":[25,29,47,63,83,97,104,142,159,164],"predicting":[26],"users'":[27],"demand":[28],"purchase.":[30],"However,":[31],"intention":[34,44,81,132],"prediction":[35,133,151],"is":[36,45,56],"quite":[37],"challenging.":[38],"Different":[39],"from":[40],"implicit":[46],"always":[48],"not":[49],"reflected":[50],"by":[51,58,157],"behavioral":[52],"data.":[53,113],"Moreover,":[54],"it":[55],"affected":[57],"both":[59],"intrinsic":[61,140],"preference":[62,141],"spatio-temporal":[64,143],"context.":[65,144],"To":[66],"overcome":[67],"these":[68],"challenges,":[69],"we":[72,90,126],"design":[73,127],"real-world":[75],"system":[76],"consisting":[77],"two":[79,162],"stages,":[80],"detection":[82],"prediction.":[84],"Specifically,":[85],"at":[86],"intention-detection":[88],"stage,":[89,117],"combine":[91],"knowledge":[93],"human":[95],"experts":[96],"information":[99],"to":[100,118],"obtain":[101],"explicit":[102],"intentions":[103,108],"match":[105],"with":[107],"based":[109],"on":[110,168],"review":[112],"At":[114],"intention-prediction":[116],"collectively":[119],"exploit":[120],"rich":[122],"heterogeneous":[123],"influencing":[124],"factors,":[125],"graph":[129],"neural":[130],"network-based":[131],"model":[134,152],"GRIP,":[135],"which":[136],"can":[137],"capture":[138],"Extensive":[145],"offline":[146],"evaluations":[147],"demonstrate":[148],"that":[149],"our":[150,176],"outperforms":[153],"best":[155],"baseline":[156],"10.26%":[158],"33.28%":[160],"for":[161],"metrics":[163],"A/B":[166],"tests":[167],"millions":[169],"users":[171],"validate":[172],"effectiveness":[174],"system.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-10T00:00:00"}