{"id":"https://openalex.org/W4403582628","doi":"https://doi.org/10.1145/3627673.3680028","title":"Explainable and Coherent Complement Recommendation Based on Large Language Models","display_name":"Explainable and Coherent Complement Recommendation Based on Large Language Models","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403582628","doi":"https://doi.org/10.1145/3627673.3680028"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3680028","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3680028","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627673.3680028","source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3627673.3680028","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100685181","display_name":"Zelong Li","orcid":"https://orcid.org/0000-0002-3110-4481"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zelong Li","raw_affiliation_strings":["Rutgers University, New Brunswick, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yan Liang","orcid":"https://orcid.org/0009-0004-3176-7703"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Liang","raw_affiliation_strings":["Amazon.com, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000903483","display_name":"Ming Wang","orcid":"https://orcid.org/0009-0009-0454-9213"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Wang","raw_affiliation_strings":["Amazon.com, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Sungro Yoon","orcid":"https://orcid.org/0009-0002-3642-7754"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sungro Yoon","raw_affiliation_strings":["Amazon.com, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087307698","display_name":"Jiaying Shi","orcid":"https://orcid.org/0000-0002-2226-1733"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiaying Shi","raw_affiliation_strings":["Amazon.com, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624454","display_name":"Xin Shen","orcid":"https://orcid.org/0009-0006-2699-3292"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Shen","raw_affiliation_strings":["Amazon.com, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiang He","orcid":"https://orcid.org/0009-0001-5397-9385"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang He","raw_affiliation_strings":["Amazon.com, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011355966","display_name":"Chenwei Zhang","orcid":"https://orcid.org/0000-0002-0606-3649"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenwei Zhang","raw_affiliation_strings":["Amazon.com, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100887740","display_name":"Wenyi Wu","orcid":"https://orcid.org/0000-0001-9344-3406"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenyi Wu","raw_affiliation_strings":["Amazon.com, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hanbo Wang","orcid":"https://orcid.org/0009-0009-1478-6407"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hanbo Wang","raw_affiliation_strings":["Amazon.com, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005360828","display_name":"Li Jin","orcid":"https://orcid.org/0009-0009-6862-9474"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jin Li","raw_affiliation_strings":["Amazon.com, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100875976","display_name":"Joyce C. W. Chan","orcid":null},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jim Chan","raw_affiliation_strings":["Amazon.com, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100329828","display_name":"Yongfeng Zhang","orcid":"https://orcid.org/0000-0003-2633-8555"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongfeng Zhang","raw_affiliation_strings":["Rutgers University, New Brunswick, NJ, USA"],"affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":13,"corresponding_author_ids":["https://openalex.org/A5100685181"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":0.6785,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76038879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4678","last_page":"4685"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9962000250816345,"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":0.9922000169754028,"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/complement","display_name":"Complement (music)","score":0.7842223644256592},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7805958986282349},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3647375702857971},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.32141736149787903}],"concepts":[{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.7842223644256592},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7805958986282349},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3647375702857971},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.32141736149787903},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3680028","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3680028","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627673.3680028","source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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"}],"best_oa_location":{"id":"doi:10.1145/3627673.3680028","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3627673.3680028","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3627673.3680028","source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4403582628.pdf"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1593271688","https://openalex.org/W1991418309","https://openalex.org/W2027731328","https://openalex.org/W2069870183","https://openalex.org/W2144194596","https://openalex.org/W2263798363","https://openalex.org/W2624431344","https://openalex.org/W2782696945","https://openalex.org/W2892485145","https://openalex.org/W2896457183","https://openalex.org/W2903444877","https://openalex.org/W2981852735","https://openalex.org/W2984100107","https://openalex.org/W3134873999","https://openalex.org/W3155368131","https://openalex.org/W3168867926","https://openalex.org/W3172750682","https://openalex.org/W3179436402","https://openalex.org/W3189967866","https://openalex.org/W4239372721","https://openalex.org/W4288089799","https://openalex.org/W4296591843","https://openalex.org/W4296591867","https://openalex.org/W4307001389","https://openalex.org/W6778883912","https://openalex.org/W6898505805"],"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/W2382566571"],"abstract_inverted_index":{"A":[0],"complementary":[1,23,36,81,109,177],"item":[2,5,11,99,110],"is":[3,25],"an":[4],"that":[6,97,117,170,187],"pairs":[7,100],"well":[8,121],"with":[9,75,112,144],"another":[10],"when":[12],"consumed":[13],"together.":[14],"In":[15,83],"the":[16,76,88,129,139,197],"context":[17],"of":[18,78,90,133,200],"e-commerce,":[19],"providing":[20],"recommendations":[21,178],"for":[22,27,34],"items":[24,37,53,119],"essential":[26],"both":[28],"customers":[29],"and":[30,103,124,131,148,161,183],"stores.":[31],"Current":[32],"models":[33],"suggesting":[35],"often":[38],"rely":[39],"heavily":[40],"on":[41,68,115],"user":[42],"behavior":[43],"data,":[44],"such":[45],"as":[46],"co-purchase":[47,69],"relationships.":[48],"However,":[49],"just":[50],"because":[51],"two":[52],"are":[54,63,101,120],"frequently":[55],"bought":[56],"together":[57,123],"does":[58],"not":[59,72],"necessarily":[60],"mean":[61],"they":[62],"truly":[64],"complementary.":[65],"Relying":[66],"solely":[67],"data":[70],"may":[71],"align":[73],"perfectly":[74],"goal":[77],"making":[79],"meaningful":[80],"recommendations.":[82,202],"this":[84],"paper,":[85],"we":[86,137],"introduce":[87],"concept":[89],"\"coherent":[91],"complement":[92,135,146,201],"recommendation\",":[93],"where":[94],"\"coherent\"":[95],"implies":[96],"recommended":[98,118],"compatible":[102],"relevant.":[104,126],"Our":[105],"approach":[106,189],"builds":[107],"upon":[108],"pairs,":[111],"a":[113,193],"focus":[114],"ensuring":[116],"used":[122],"contextually":[125],"To":[127],"enhance":[128],"explainability":[130],"coherence":[132],"our":[134,171,188],"recommendations,":[136],"fine-tune":[138],"Large":[140],"Language":[141],"Model":[142],"(LLM)":[143],"coherent":[145,176,198],"recommendation":[147],"explanation":[149,158],"generation":[150,159],"tasks":[151],"since":[152],"LLM":[153],"has":[154],"strong":[155],"natural":[156],"language":[157],"ability":[160],"multi-task":[162],"fine-tuning":[163],"enhances":[164],"task":[165],"understanding.":[166],"Experimental":[167],"results":[168],"indicate":[169],"model":[172],"can":[173],"provide":[174],"more":[175],"than":[179],"existing":[180],"state-of-the-art":[181],"methods,":[182],"human":[184],"evaluation":[185],"validates":[186],"achieves":[190],"up":[191],"to":[192],"48%":[194],"increase":[195],"in":[196],"rate":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
