{"id":"https://openalex.org/W4385474375","doi":"https://doi.org/10.1145/3580305.3599874","title":"NEON: Living Needs Prediction System in Meituan","display_name":"NEON: Living Needs Prediction System in Meituan","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385474375","doi":"https://doi.org/10.1145/3580305.3599874"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599874","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599874","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599874","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599874","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045832099","display_name":"Xiaochong Lan","orcid":"https://orcid.org/0000-0001-8960-4246"},"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":"Xiaochong Lan","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8960-4246","affiliations":[{"raw_affiliation_string":"Tsinghua University, 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":"https://orcid.org/0000-0002-7561-5646","affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064507822","display_name":"Shiqi Wen","orcid":"https://orcid.org/0009-0008-1645-5241"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqi Wen","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-1645-5241","affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101769330","display_name":"Xiuqi Chen","orcid":"https://orcid.org/0009-0002-8239-6493"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuqi Chen","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-8239-6493","affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103168824","display_name":"Yingge Che","orcid":"https://orcid.org/0009-0009-7007-4527"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingge Che","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-7007-4527","affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039185886","display_name":"Han Zhang","orcid":"https://orcid.org/0009-0002-6660-3691"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Zhang","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-6660-3691","affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035435206","display_name":"Huazhou Wei","orcid":"https://orcid.org/0009-0003-6009-5646"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huazhou Wei","raw_affiliation_strings":["Meituan, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-6009-5646","affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014828450","display_name":"Hengliang Luo","orcid":"https://orcid.org/0000-0001-8597-8873"},"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":"Hengliang Luo","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8597-8873","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":"https://orcid.org/0000-0001-5617-1659","affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5045832099"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.3453,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.84954818,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5292","last_page":"5302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9987999796867371,"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":0.9987999796867371,"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":0.9973000288009644,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9864000082015991,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.7452433705329895},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.678591787815094},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6330740451812744},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5992554426193237},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.5231334567070007},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45554178953170776},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.42850568890571594},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4212818741798401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39795395731925964},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09582504630088806}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7452433705329895},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.678591787815094},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6330740451812744},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5992554426193237},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5231334567070007},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45554178953170776},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.42850568890571594},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4212818741798401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39795395731925964},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09582504630088806},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3580305.3599874","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599874","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599874","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2307.16644","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.16644","pdf_url":"https://arxiv.org/pdf/2307.16644","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3580305.3599874","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580305.3599874","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580305.3599874","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/12"}],"awards":[{"id":"https://openalex.org/G3710896277","display_name":null,"funder_award_id":"61971267","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3734416573","display_name":null,"funder_award_id":"61972223","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4848699858","display_name":null,"funder_award_id":"62272262, 61971267, 61972223","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8229519694","display_name":null,"funder_award_id":"2022YFB3104702","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8910773033","display_name":null,"funder_award_id":"2022YFB3104702","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/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"},{"id":"https://openalex.org/F4320329777","display_name":"Beijing National Research Center For Information Science And Technology","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385474375.pdf","grobid_xml":"https://content.openalex.org/works/W4385474375.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W4439945","https://openalex.org/W312245022","https://openalex.org/W638244329","https://openalex.org/W1836465849","https://openalex.org/W2005067049","https://openalex.org/W2059838371","https://openalex.org/W2114062456","https://openalex.org/W2117587045","https://openalex.org/W2144335970","https://openalex.org/W2144685566","https://openalex.org/W2156387975","https://openalex.org/W2408538552","https://openalex.org/W2475334473","https://openalex.org/W2497335829","https://openalex.org/W2581191963","https://openalex.org/W2610255561","https://openalex.org/W2723293840","https://openalex.org/W2799125281","https://openalex.org/W2809290718","https://openalex.org/W2887853521","https://openalex.org/W2898696889","https://openalex.org/W2914763776","https://openalex.org/W2921144914","https://openalex.org/W2923074951","https://openalex.org/W2923129012","https://openalex.org/W2939264787","https://openalex.org/W2946577091","https://openalex.org/W2953641635","https://openalex.org/W2962989965","https://openalex.org/W2964015378","https://openalex.org/W2964182926","https://openalex.org/W2978376430","https://openalex.org/W2996833046","https://openalex.org/W2997311100","https://openalex.org/W3004524957","https://openalex.org/W3013549089","https://openalex.org/W3035596828","https://openalex.org/W3044719873","https://openalex.org/W3081190557","https://openalex.org/W3083166789","https://openalex.org/W3087931390","https://openalex.org/W4292102687"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W4224009465","https://openalex.org/W2256933480","https://openalex.org/W4306674287","https://openalex.org/W3196817267"],"abstract_inverted_index":{"Living":[0],"needs":[1,6,37,72,99],"refer":[2],"to":[3,27,76,253],"the":[4,33,56,71,86,105,134,157,166,183,194,203,235,279],"various":[5,48],"in":[7,165,259,268],"human's":[8],"daily":[9],"lives":[10],"for":[11,144,151,159],"survival":[12],"and":[13,46,63,79,100,130,147,230,275],"well-being,":[14],"including":[15],"food,":[16],"housing,":[17],"entertainment,":[18],"etc.":[19],"At":[20],"life":[21],"service":[22,28],"platforms":[23],"that":[24,175,212],"connect":[25],"users":[26,45],"providers,":[29],"such":[30,51],"as":[31,41,52,156],"Meituan,":[32],"problem":[34,57],"of":[35,116,123,180,197,205,283],"living":[36,98,117,220],"prediction":[38,191,200,238],"is":[39,64,91],"fundamental":[40],"it":[42,233],"helps":[43],"understand":[44],"boost":[47],"downstream":[49,237],"applications":[50],"personalized":[53],"recommendation.":[54,262],"However,":[55],"has":[58],"not":[59],"been":[60],"well":[61],"explored":[62],"faced":[65],"with":[66],"two":[67,110,161,178],"critical":[68],"challenges.":[69],"First,":[70],"are":[73],"naturally":[74],"connected":[75],"specific":[77],"locations":[78],"times,":[80],"suffering":[81],"from":[82,85],"complex":[83],"impacts":[84],"spatiotemporal":[87,145,206],"context.":[88,207],"Second,":[89],"there":[90],"a":[92,114,172,189,246,254],"significant":[93],"gap":[94],"between":[95],"users'":[96,219],"actual":[97],"their":[101],"historical":[102],"records":[103],"on":[104],"platform.":[106],"To":[107],"address":[108],"these":[109],"challenges,":[111,162],"we":[112,138,170,187,223],"design":[113,188],"system":[115,215,251],"NEeds":[118],"predictiON":[119],"named":[120],"NEON,":[121],"consisting":[122],"three":[124,236],"phases:":[125],"feature":[126,128,135,167],"mining,":[127],"fusion":[129,168],"multi-task":[131],"prediction.":[132],"In":[133],"mining":[136],"phase,":[137,169,192],"carefully":[139],"extract":[140],"individual-level":[141],"user":[142,184,271],"features":[143,150,181],"modeling,":[146],"aggregated-level":[148],"behavioral":[149],"enriching":[152],"data,":[153],"which":[154],"serve":[155],"basis":[158],"addressing":[160],"respectively.":[163],"Further,":[164],"propose":[171],"neural":[173],"network":[174],"effectively":[176,217],"fuses":[177],"parts":[179],"into":[182,226],"representation.":[185],"Moreover,":[186],"multitask":[190],"where":[193],"auxiliary":[195],"task":[196],"needs-meeting":[198,273],"way":[199],"can":[201,216],"enhance":[202],"modeling":[204],"Extensive":[208],"offline":[209],"evaluations":[210],"verify":[211],"our":[213,250],"NEON":[214,225],"predict":[218],"needs.":[221],"Furthermore,":[222],"deploy":[224],"Meituan's":[227],"algorithm":[228],"engine":[229],"evaluate":[231],"how":[232],"enhances":[234],"applications,":[239],"via":[240],"large-scale":[241],"online":[242],"A/B":[243],"testing.":[244],"As":[245],"representative":[247],"result,":[248],"deploying":[249],"leads":[252],"1.886%":[255],"increase":[256],"w.r.t.":[257],"CTCVR":[258],"Meituan":[260],"homepage":[261],"The":[263],"results":[264],"demonstrate":[265],"NEON's":[266],"effectiveness":[267],"predicting":[269],"fine-grained":[270],"needs,":[272,277],"way,":[274],"potential":[276],"highlighting":[278],"immense":[280],"application":[281],"value":[282],"NEON.":[284]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}