{"id":"https://openalex.org/W7167935926","doi":"https://doi.org/10.1145/3805712.3808479","title":"Bridging the Gap: Generative Retrieval via Query-to-Multi-Span Framework for Effective E-commerce Search","display_name":"Bridging the Gap: Generative Retrieval via Query-to-Multi-Span Framework for Effective E-commerce Search","publication_year":2026,"publication_date":"2026-07-10","ids":{"openalex":"https://openalex.org/W7167935926","doi":"https://doi.org/10.1145/3805712.3808479"},"language":null,"primary_location":{"id":"doi:10.1145/3805712.3808479","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808479","pdf_url":null,"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 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805712.3808479","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075244395","display_name":"Huimu Wang","orcid":"https://orcid.org/0000-0001-7115-8831"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimu Wang","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7115-8831","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101886756","display_name":"Yiming Qiu","orcid":"https://orcid.org/0000-0002-5900-4773"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Qiu","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5900-4773","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140394868","display_name":"Xingzhi Yao","orcid":"https://orcid.org/0009-0007-2124-9189"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingzhi Yao","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0007-2124-9189","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042012742","display_name":"Guangtao Nie","orcid":"https://orcid.org/0000-0002-1343-3169"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangtao Nie","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1343-3169","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140416100","display_name":"Zuxu Chen","orcid":"https://orcid.org/0009-0001-4157-0064"},"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":"Zuxu Chen","raw_affiliation_strings":["Tsinghua University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0001-4157-0064","affiliations":[{"raw_affiliation_string":"Tsinghua University, Shenzhen, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140452343","display_name":"Zhenlin He","orcid":"https://orcid.org/0009-0000-2397-1713"},"institutions":[{"id":"https://openalex.org/I4210156095","display_name":"Aero Engine Corporation of China (China)","ror":"https://ror.org/04pe7qe08","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210156095"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenlin He","raw_affiliation_strings":["Shangshi Aero Engine Co., Ltd, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0000-2397-1713","affiliations":[{"raw_affiliation_string":"Shangshi Aero Engine Co., Ltd, Shanghai, China","institution_ids":["https://openalex.org/I4210156095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100714543","display_name":"Songlin Wang","orcid":"https://orcid.org/0000-0003-0102-9123"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songlin Wang","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0102-9123","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045596194","display_name":"Guoyu Tang","orcid":"https://orcid.org/0009-0003-9586-4652"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyu Tang","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0003-9586-4652","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063258475","display_name":"Sulong Xu","orcid":"https://orcid.org/0000-0003-0345-334X"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sulong Xu","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0345-334X","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026923345","display_name":"Jingwei Zhuo","orcid":"https://orcid.org/0000-0001-8135-1061"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingwei Zhuo","raw_affiliation_strings":["JD.com, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8135-1061","affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103325609","display_name":"Mingming Li","orcid":"https://orcid.org/0000-0002-3347-0450"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingming Li","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3347-0450","affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4960","last_page":"4964"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.6482999920845032,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.6482999920845032,"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/T10028","display_name":"Topic Modeling","score":0.0835999995470047,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.039400000125169754,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7548999786376953},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.6121000051498413},{"id":"https://openalex.org/keywords/identifier","display_name":"Identifier","score":0.5371000170707703},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.52920001745224},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47279998660087585},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.45329999923706055},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4523000121116638},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4345000088214874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836999893188477},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7548999786376953},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.6121000051498413},{"id":"https://openalex.org/C154504017","wikidata":"https://www.wikidata.org/wiki/Q853614","display_name":"Identifier","level":2,"score":0.5371000170707703},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.52920001745224},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4975000023841858},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47279998660087585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47040000557899475},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45329999923706055},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4523000121116638},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4345000088214874},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.42010000348091125},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40860000252723694},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3659999966621399},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3476000130176544},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.30730000138282776},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.29589998722076416},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.2872999906539917},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.2757999897003174},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.26190000772476196}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3805712.3808479","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808479","pdf_url":null,"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 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3805712.3808479","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808479","pdf_url":null,"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 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W3021397474","https://openalex.org/W3156237268","https://openalex.org/W3168875417","https://openalex.org/W3205509771","https://openalex.org/W4306317315","https://openalex.org/W4361231059","https://openalex.org/W4384774397","https://openalex.org/W4400525588","https://openalex.org/W4400529391","https://openalex.org/W7133190757","https://openalex.org/W7133197669","https://openalex.org/W7133208784"],"related_works":[],"abstract_inverted_index":{"Generative":[0],"retrieval":[1,4,62,134],"formulates":[2],"document":[3],"as":[5],"an":[6],"identifier":[7],"generation":[8],"task.":[9],"While":[10],"prevailing":[11],"methods":[12],"increasingly":[13],"adopt":[14],"Semantic":[15],"IDs":[16],"(SIDs),":[17],"their":[18],"opaque":[19,71],"nature":[20],"and":[21,29,99,127,136],"rigid":[22],"mappings":[23],"struggle":[24],"with":[25,93,119],"the":[26,79,90],"dynamic":[27],"inventory":[28],"strict":[30],"interpretability":[31],"requirements":[32],"of":[33,68],"E-commerce":[34],"search.":[35],"Furthermore,":[36],"generating":[37,82],"accurate":[38],"targets":[39],"from":[40,86],"brief":[41],"queries":[42],"against":[43],"noisy,":[44],"loosely":[45],"structured":[46],"item":[47,111],"titles":[48],"remains":[49],"a":[50,59,101,149],"practical":[51],"challenge.":[52],"To":[53],"address":[54],"these":[55],"issues,":[56],"we":[57],"propose":[58],"Query-to-Multi-Span":[60],"generative":[61,117],"framework":[63],"tailored":[64],"for":[65,109],"E-commerce.":[66],"Instead":[67],"relying":[69],"on":[70],"SIDs":[72],"or":[73],"raw":[74],"titles,":[75],"our":[76],"method":[77],"simplifies":[78],"process":[80],"by":[81],"interpretable":[83],"multispan":[84],"identifiers":[85],"queries.":[87],"We":[88],"align":[89],"autoregressive":[91],"model":[92],"user":[94],"preferences":[95],"using":[96],"click":[97],"logs,":[98],"employ":[100],"constraintbased":[102],"beam":[103],"search":[104],"to":[105],"isolate":[106],"key":[107],"spans":[108],"final":[110],"retrieval.":[112],"This":[113],"approach":[114],"explicitly":[115],"bridges":[116],"models":[118],"robust":[120],"constraint":[121],"matching,":[122],"ensuring":[123],"both":[124],"matching":[125],"accuracy":[126],"transparency.":[128],"Extensive":[129],"offline":[130],"evaluations":[131],"demonstrate":[132],"competitive":[133],"performance,":[135],"online":[137],"A/B":[138],"tests":[139],"confirm":[140],"its":[141],"effectiveness":[142],"in":[143,148],"delivering":[144],"measurable":[145],"conversion":[146],"gains":[147],"production":[150],"environment.":[151]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-07-11T00:00:00"}