{"id":"https://openalex.org/W4403220268","doi":"https://doi.org/10.1145/3640457.3688165","title":"Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce","display_name":"Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce","publication_year":2024,"publication_date":"2024-10-08","ids":{"openalex":"https://openalex.org/W4403220268","doi":"https://doi.org/10.1145/3640457.3688165"},"language":"en","primary_location":{"id":"doi:10.1145/3640457.3688165","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688165","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688165","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688165","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101336430","display_name":"Yuan Wang","orcid":"https://orcid.org/0000-0002-3630-9179"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Wang","raw_affiliation_strings":["Alibaba Group, China"],"raw_orcid":"https://orcid.org/0000-0002-3630-9179","affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100390297","display_name":"Zhiyu Li","orcid":"https://orcid.org/0000-0002-8187-4177"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyu Li","raw_affiliation_strings":["Alibaba Group, China"],"raw_orcid":"https://orcid.org/0000-0002-8187-4177","affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103144692","display_name":"Changshuo Zhang","orcid":"https://orcid.org/0009-0001-8481-9421"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changshuo Zhang","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, China"],"raw_orcid":"https://orcid.org/0009-0001-8481-9421","affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073327702","display_name":"Sirui Chen","orcid":"https://orcid.org/0000-0001-7740-508X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sirui Chen","raw_affiliation_strings":["School of Information, Renmin University of China, China"],"raw_orcid":"https://orcid.org/0000-0001-7740-508X","affiliations":[{"raw_affiliation_string":"School of Information, Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320847","display_name":"Xiao Zhang","orcid":"https://orcid.org/0000-0001-7397-5632"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Zhang","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, China"],"raw_orcid":"https://orcid.org/0000-0001-7397-5632","affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020766468","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0001-7170-111X"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Xu","raw_affiliation_strings":["Gaoling School of Artificial Intelligence, Renmin University of China, China"],"raw_orcid":"https://orcid.org/0000-0001-7170-111X","affiliations":[{"raw_affiliation_string":"Gaoling School of Artificial Intelligence, Renmin University of China, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100763939","display_name":"Quan Lin","orcid":"https://orcid.org/0009-0002-7149-5525"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Lin","raw_affiliation_strings":["Alibaba Group, China"],"raw_orcid":"https://orcid.org/0009-0002-7149-5525","affiliations":[{"raw_affiliation_string":"Alibaba Group, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2987,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82674068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"896","last_page":"901"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9926000237464905,"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/computer-science","display_name":"Computer science","score":0.7713685035705566},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6957988739013672},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3529855012893677},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3020029664039612}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7713685035705566},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6957988739013672},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3529855012893677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3020029664039612}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3640457.3688165","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688165","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688165","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3640457.3688165","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3640457.3688165","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3640457.3688165","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1840373507","display_name":null,"funder_award_id":"62376275","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6620384876","display_name":null,"funder_award_id":"62377044","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/F4320322499","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403220268.pdf","grobid_xml":"https://content.openalex.org/works/W4403220268.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1570963478","https://openalex.org/W2337233909","https://openalex.org/W2513180554","https://openalex.org/W2514091133","https://openalex.org/W2560674852","https://openalex.org/W2596585349","https://openalex.org/W2739826497","https://openalex.org/W2739916191","https://openalex.org/W2746553466","https://openalex.org/W2796727080","https://openalex.org/W2903088943","https://openalex.org/W2913668833","https://openalex.org/W2946327583","https://openalex.org/W2964247748","https://openalex.org/W2965893800","https://openalex.org/W2973171206","https://openalex.org/W2975938167","https://openalex.org/W3034950638","https://openalex.org/W3035590471","https://openalex.org/W3101997094","https://openalex.org/W3116566929","https://openalex.org/W3155690528","https://openalex.org/W3155850838","https://openalex.org/W3156002164","https://openalex.org/W3183218305","https://openalex.org/W4226433344","https://openalex.org/W4284677642","https://openalex.org/W4380136520","https://openalex.org/W4400525872"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Recommender":[0],"systems":[1,231],"have":[2],"been":[3],"widely":[4],"used":[5],"in":[6,17,53,82],"e-commerce,":[7],"and":[8,25,140,160,169,196,237,245],"re-ranking":[9,98,252],"models":[10],"are":[11],"playing":[12],"an":[13,104,135],"increasingly":[14],"significant":[15],"role":[16],"the":[18,22,27,40,46,49,59,113,125,146,154,164,172,177,181,186,198,203,206],"domain,":[19],"which":[20,65,100,190],"leverages":[21],"inter-item":[23],"influence":[24],"determines":[26],"final":[28],"recommendation":[29,151,239],"lists.":[30],"Online":[31],"learning":[32,95,200,220,230],"methods":[33,96],"keep":[34],"updating":[35],"a":[36,80,90,120,142,150,184,215,234],"deployed":[37],"model":[38,83,122,131,143,208],"with":[39],"latest":[41],"available":[42],"samples":[43],"to":[44,79,123,129,168,171,175,192,217,232],"capture":[45,176],"shifting":[47],"of":[48,61,93,115,180,205],"underlying":[50],"data":[51],"distribution":[52],"e-commerce.":[54],"However,":[55],"they":[56],"depend":[57],"on":[58,145],"availability":[60],"real":[62],"user":[63,116],"feedback,":[64],"may":[66,209],"be":[67,210,224],"delayed":[68],"by":[69,118],"hours":[70],"or":[71],"even":[72],"days,":[73],"such":[74],"as":[75,214],"item":[76],"purchases,":[77],"leading":[78],"lag":[81],"enhancement.":[84],"In":[85],"this":[86],"paper,":[87],"we":[88,101],"propose":[89],"novel":[91],"extension":[92],"online":[94,136,199,219,229],"for":[97,106,153],"modeling,":[99],"term":[102],"LAST,":[103],"acronym":[105],"Learning":[107],"At":[108],"Serving":[109],"Time.":[110],"It":[111,162],"circumvents":[112],"requirement":[114],"feedback":[117],"using":[119],"surrogate":[121,207],"provide":[124],"instructional":[126],"signal":[127],"needed":[128],"steer":[130],"improvement.":[132],"Upon":[133],"receiving":[134],"request,":[137,185],"LAST":[138,222,249],"finds":[139],"applies":[141],"modification":[144,157,165,187],"fly":[147],"before":[148],"generating":[149],"result":[152],"request.":[155,182],"The":[156],"is":[158,166,188],"request-specific":[159],"transient.":[161],"means":[163],"tailored":[167],"only":[170],"current":[173],"request":[174],"specific":[178],"context":[179],"After":[183],"discarded,":[189],"helps":[191],"prevent":[193],"error":[194],"propagation":[195],"stabilizes":[197],"procedure":[201],"since":[202],"predictions":[204],"inaccurate.":[211],"Most":[212],"importantly,":[213],"complement":[216],"feedback-based":[218],"methods,":[221],"can":[223],"seamlessly":[225],"integrated":[226],"into":[227],"existing":[228],"create":[233],"more":[235],"adaptive":[236],"responsive":[238],"experience.":[240],"Comprehensive":[241],"experiments,":[242],"both":[243],"offline":[244],"online,":[246],"affirm":[247],"that":[248],"outperforms":[250],"state-of-the-art":[251],"models.":[253]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}