{"id":"https://openalex.org/W4416033983","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1273","title":"ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM","display_name":"ICL-Bandit: Relevance Labeling in Advertisement Recommendation Systems via LLM","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416033983","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1273"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.1273","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1273","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1273.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-emnlp.1273.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100364381","display_name":"Lu Wang","orcid":"https://orcid.org/0000-0001-6345-3873"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043852808","display_name":"Chiming Duan","orcid":"https://orcid.org/0009-0008-4422-6323"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chiming Duan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073885088","display_name":"Pu Zhao","orcid":"https://orcid.org/0000-0001-5018-2859"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pu Zhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101564849","display_name":"Fangkai Yang","orcid":"https://orcid.org/0000-0002-3089-0345"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fangkai Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113542097","display_name":"Yong Shi","orcid":"https://orcid.org/0000-0001-7974-1079"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Shi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063050701","display_name":"Xuefeng Luo","orcid":"https://orcid.org/0000-0002-3992-5866"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuefeng Luo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008601440","display_name":"Bingjing Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bingjing Xu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016794246","display_name":"Weiwei Deng","orcid":"https://orcid.org/0009-0001-4793-9715"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weiwei Deng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088646345","display_name":"Qingwei Lin","orcid":"https://orcid.org/0000-0003-2559-2383"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qingwei Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101567180","display_name":"Dongmei Zhang","orcid":"https://orcid.org/0000-0001-6302-0373"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dongmei Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"23439","last_page":"23449"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.6837999820709229,"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":0.6837999820709229,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.0803999975323677,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.05380000174045563,"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/relevance","display_name":"Relevance (law)","score":0.6621999740600586},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4819999933242798},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.3068999946117401},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.24889999628067017}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6621999740600586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5878000259399414},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4819999933242798},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.42500001192092896},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3237000107765198},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.31439998745918274},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2858000099658966},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.24889999628067017},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.23589999973773956}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.1273","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1273","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1273.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.1273","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1273","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1273.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416033983.pdf","grobid_xml":"https://content.openalex.org/works/W4416033983.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Measuring":[0],"the":[1,97],"relevance":[2,99],"between":[3],"user":[4],"queries":[5],"and":[6,22,34,89,112,148],"advertisements":[7],"is":[8,31,61],"a":[9,58,62,76,87,105],"critical":[10],"task":[11],"for":[12,44,116],"advertisement":[13],"(ad)":[14],"recommendation":[15],"systems,":[16],"such":[17],"as":[18],"Microsoft":[19,138],"Bing":[20],"Ads":[21],"Google":[23],"Ads.Traditionally,":[24],"this":[25,82],"requires":[26],"expert":[27],"data":[28],"labeling,":[29,45],"which":[30,55],"both":[32],"costly":[33],"time-consuming.Recent":[35],"advances":[36],"have":[37],"explored":[38],"using":[39],"Large":[40],"Language":[41],"Models":[42],"(LLMs)":[43],"but":[46],"these":[47],"models":[48],"often":[49],"lack":[50],"domain-specific":[51],"knowledge.In-context":[52],"learning":[53,108],"(ICL),":[54],"involves":[56],"providing":[57],"few":[59],"demonstrations,":[60],"common":[63],"practice":[64],"to":[65,95,110,130],"enhance":[66,96],"LLM":[67],"performance":[68,128],"on":[69],"domainspecific":[70],"tasks.However,":[71],"retrieving":[72],"high-quality":[73],"demonstrations":[74,115],"in":[75,137],"vast":[77],"exploration":[78],"space":[79],"remains":[80],"challenging.In":[81],"paper,":[83],"we":[84],"introduce":[85],"ICL-Bandit,":[86],"practical":[88],"effective":[90],"approach":[91],"that":[92,124,139],"leverages":[93],"ICL":[94],"queryad":[98],"labeling":[100,120],"capabilities":[101],"of":[102,142],"LLMs.We":[103],"develop":[104],"novel":[106],"bandit":[107],"method":[109],"identify":[111],"provide":[113],"superior":[114],"ICL,":[117],"thereby":[118],"improving":[119],"performance.Experimental":[121],"results":[122],"demonstrate":[123],"ICL-Bandit":[125,133],"achieves":[126],"state-of-the-art":[127],"compared":[129],"existing":[131],"methods.Additionally,":[132],"has":[134],"been":[135],"deployed":[136],"serves":[140],"billions":[141],"users":[143],"worldwide,":[144],"confirming":[145],"its":[146],"robustness":[147],"effectiveness.":[149]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-08T00:00:00"}
