{"id":"https://openalex.org/W4401306703","doi":"https://doi.org/10.1145/3627673.3679894","title":"CXSimulator: A User Behavior Simulation using LLM Embeddings for Web-Marketing Campaign Assessment","display_name":"CXSimulator: A User Behavior Simulation using LLM Embeddings for Web-Marketing Campaign Assessment","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4401306703","doi":"https://doi.org/10.1145/3627673.3679894"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679894","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2407.21553","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106276277","display_name":"Akira Kasuga","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089607","display_name":"CyberAgent (Japan)","ror":"https://ror.org/0060jg679","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210089607"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Akira Kasuga","raw_affiliation_strings":["CyberAgent, Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"CyberAgent, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210089607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020282208","display_name":"Ryo Yonetani","orcid":"https://orcid.org/0000-0002-2724-6233"},"institutions":[{"id":"https://openalex.org/I4210089607","display_name":"CyberAgent (Japan)","ror":"https://ror.org/0060jg679","country_code":"JP","type":"company","lineage":["https://openalex.org/I4210089607"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryo Yonetani","raw_affiliation_strings":["CyberAgent, Inc., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"CyberAgent, Inc., Tokyo, Japan","institution_ids":["https://openalex.org/I4210089607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5106276277"],"corresponding_institution_ids":["https://openalex.org/I4210089607"],"apc_list":null,"apc_paid":null,"fwci":3.2087,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.93004025,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3817","last_page":"3821"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9957000017166138,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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":0.6303938627243042},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.38929665088653564}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6303938627243042},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.38929665088653564}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3627673.3679894","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679894","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2407.21553","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.21553","pdf_url":"https://arxiv.org/pdf/2407.21553","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2407.21553","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.21553","pdf_url":"https://arxiv.org/pdf/2407.21553","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401306703.pdf","grobid_xml":"https://content.openalex.org/works/W4401306703.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1967784045","https://openalex.org/W2304640842","https://openalex.org/W2912083425","https://openalex.org/W2962756421","https://openalex.org/W3144984979","https://openalex.org/W3170120958","https://openalex.org/W4214632820","https://openalex.org/W4234083051","https://openalex.org/W4295682935","https://openalex.org/W4316837538","https://openalex.org/W4383737134","https://openalex.org/W4385763811","https://openalex.org/W4388955889","https://openalex.org/W4392606373","https://openalex.org/W4393277515"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0,108],"paper":[1],"presents":[2],"the":[3,14,113,121,138,143],"Customer":[4],"Experience":[5],"(CX)":[6],"Simulator,":[7],"a":[8,37,47,59],"novel":[9],"framework":[10,26],"designed":[11],"to":[12,32,61,74,92,106,111,124],"assess":[13],"effects":[15],"of":[16,145],"untested":[17],"web-marketing":[18,84],"campaigns":[19,101],"through":[20],"user":[21,131],"behavior":[22],"simulations.":[23],"The":[24],"proposed":[25],"leverages":[27],"large":[28],"language":[29],"models":[30],"(LLMs)":[31],"represent":[33],"various":[34],"events":[35,65,76],"in":[36],"user's":[38],"behavioral":[39],"history,":[40],"such":[41],"as":[42,53],"viewing":[43],"an":[44,51],"item,":[45,52],"applying":[46],"coupon,":[48],"or":[49,102],"purchasing":[50],"semantic":[54],"embedding":[55],"vectors.":[56],"We":[57],"train":[58],"model":[60,91],"predict":[62],"transitions":[63],"between":[64],"from":[66,79,137],"their":[67],"LLM":[68],"embeddings,":[69],"which":[70],"can":[71],"even":[72],"generalize":[73],"unseen":[75],"by":[77],"learning":[78],"diverse":[80],"training":[81],"data.":[82],"In":[83],"applications,":[85],"we":[86],"leverage":[87],"this":[88],"transition":[89],"prediction":[90],"simulate":[93],"how":[94],"users":[95],"might":[96],"react":[97],"differently":[98],"when":[99],"new":[100],"products":[103],"are":[104],"presented":[105],"them.":[107],"allows":[109],"us":[110],"eliminate":[112],"need":[114],"for":[115],"costly":[116],"online":[117],"testing":[118],"and":[119,130],"enhance":[120],"marketers'":[122],"abilities":[123],"reveal":[125],"insights.":[126],"Our":[127],"numerical":[128],"evaluation":[129],"study,":[132],"utilizing":[133],"BigQuery":[134],"Public":[135],"Datasets":[136],"Google":[139],"Merchandise":[140],"Store,":[141],"demonstrate":[142],"effectiveness":[144],"our":[146],"framework.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-14T08:43:22.919905","created_date":"2025-10-10T00:00:00"}
