{"id":"https://openalex.org/W4365451471","doi":"https://doi.org/10.1145/3592610","title":"OPTI: Order Preparation Time Inference for On-demand Delivery","display_name":"OPTI: Order Preparation Time Inference for On-demand Delivery","publication_year":2023,"publication_date":"2023-04-13","ids":{"openalex":"https://openalex.org/W4365451471","doi":"https://doi.org/10.1145/3592610"},"language":"en","primary_location":{"id":"doi:10.1145/3592610","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3592610","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"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 Sensor Networks","raw_type":"journal-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/A5002879586","display_name":"Zhigang Dai","orcid":"https://orcid.org/0000-0002-8616-0202"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhigang Dai","raw_affiliation_strings":["Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103201154","display_name":"Wenjun Lyu","orcid":"https://orcid.org/0000-0002-2954-3901"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Wenjun Lyu","raw_affiliation_strings":["Rutgers University"],"affiliations":[{"raw_affiliation_string":"Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037684756","display_name":"Yi Ding","orcid":"https://orcid.org/0000-0002-1226-341X"},"institutions":[{"id":"https://openalex.org/I2800403580","display_name":"University of Minnesota System","ror":"https://ror.org/03grvy078","country_code":"US","type":"education","lineage":["https://openalex.org/I2800403580"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yi Ding","raw_affiliation_strings":["University of Minnesota"],"affiliations":[{"raw_affiliation_string":"University of Minnesota","institution_ids":["https://openalex.org/I2800403580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101863006","display_name":"Yiwei Song","orcid":"https://orcid.org/0009-0001-0747-364X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwei Song","raw_affiliation_strings":["Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082653046","display_name":"Yunhuai Liu","orcid":"https://orcid.org/0000-0002-1180-8078"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhuai Liu","raw_affiliation_strings":["Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002879586"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.6176,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64774482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"19","issue":"4","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9970999956130981,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.827768087387085},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7930364608764648},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.5691811442375183},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5088074803352356},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4619143009185791},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.42949527502059937},{"id":"https://openalex.org/keywords/on-demand","display_name":"On demand","score":0.4169125556945801},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3721831440925598},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.35231560468673706},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31400105357170105},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1311664879322052}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.827768087387085},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7930364608764648},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.5691811442375183},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5088074803352356},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4619143009185791},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.42949527502059937},{"id":"https://openalex.org/C2983523559","wikidata":"https://www.wikidata.org/wiki/Q410657","display_name":"On demand","level":2,"score":0.4169125556945801},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3721831440925598},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.35231560468673706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31400105357170105},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1311664879322052},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3592610","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3592610","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"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 Sensor Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G5586349053","display_name":null,"funder_award_id":"61925202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6428032641","display_name":null,"funder_award_id":"2018YFB2100300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W343636949","https://openalex.org/W1556464171","https://openalex.org/W2036950623","https://openalex.org/W2049712317","https://openalex.org/W2053013484","https://openalex.org/W2135046866","https://openalex.org/W2217061759","https://openalex.org/W2522004770","https://openalex.org/W2768348081","https://openalex.org/W2808462996","https://openalex.org/W2809128166","https://openalex.org/W2809623940","https://openalex.org/W2910952060","https://openalex.org/W2911366381","https://openalex.org/W2911826336","https://openalex.org/W2914841612","https://openalex.org/W2944299967","https://openalex.org/W2975802312","https://openalex.org/W2998508934","https://openalex.org/W3080227975","https://openalex.org/W4210997624","https://openalex.org/W4239859962","https://openalex.org/W4365800115"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"On-demand":[0],"delivery":[1,67,84],"has":[2],"become":[3],"an":[4,133],"increasingly":[5],"popular":[6],"urban":[7],"service":[8],"in":[9,65],"recent":[10],"years":[11],"as":[12,39],"it":[13],"facilitates":[14],"citizens\u2019":[15],"daily":[16],"lives":[17],"significantly.":[18],"In":[19],"the":[20,23,82,87,93,99,105,117,123,149,156,168,182,192],"fulfillment":[21,44],"cycle,":[22],"order":[24,41,106,124,134,158],"preparation":[25,107,125,135,159],"time":[26,45,91,102,121,136,153,160,170,173],"estimation":[27],"is":[28,49,97],"extremely":[29],"important":[30],"and":[31,43,122,161],"can":[32,180],"be":[33],"used":[34],"for":[35],"many":[36],"applications,":[37],"such":[38],"improving":[40],"dispatching":[42],"estimation.":[46],"Existing":[47],"work":[48],"generally":[50],"based":[51,73,147],"on":[52,74,148],"high-cost":[53],"physical":[54],"devices":[55],"or":[56],"large-scale":[57],"labeled":[58],"training":[59],"data,":[60],"which":[61,109,140],"are":[62],"not":[63],"feasible":[64],"on-demand":[66,83],"services.":[68],"We":[69],"solve":[70,128],"this":[71,129],"problem":[72],"already":[75],"collected":[76],"different":[77],"kinds":[78],"of":[79,184],"data":[80],"from":[81],"platform,":[85],"e.g.,":[86],"courier\u2019s":[88],"reported":[89,101,119,151],"arrival":[90,120,152],"to":[92,111,154,166,171,188,191],"merchant.":[94],"Our":[95],"intuition":[96],"that":[98,178],"couriers\u2019":[100,118,150],"implicitly":[103],"reflects":[104],"time,":[108],"leads":[110],"a":[112,143],"challenge:":[113],"complicated":[114],"correlations":[115],"between":[116],"time.":[126],"To":[127],"challenge,":[130],"we":[131],"design":[132],"inference":[137,185],"framework":[138],"OPTI,":[139],"first":[141],"constructs":[142],"self-supervised":[144],"classification":[145],"task":[146],"infer":[155],"coarse-grained":[157,169],"then":[162],"exploits":[163],"semi-supervised":[164],"learning":[165],"transfer":[167],"fine-grained":[172],"inference.":[174],"Experimental":[175],"results":[176],"show":[177],"OPTI":[179],"improve":[181],"accuracy":[183],"by":[186],"5%":[187],"17%":[189],"compared":[190],"state-of-the-art":[193],"solutions.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}