{"id":"https://openalex.org/W4296591854","doi":"https://doi.org/10.1145/3523227.3547491","title":"A Lightweight Transformer for Next-Item Product Recommendation","display_name":"A Lightweight Transformer for Next-Item Product Recommendation","publication_year":2022,"publication_date":"2022-09-13","ids":{"openalex":"https://openalex.org/W4296591854","doi":"https://doi.org/10.1145/3523227.3547491"},"language":"en","primary_location":{"id":"doi:10.1145/3523227.3547491","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523227.3547491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058627159","display_name":"M. Jeffrey Mei","orcid":"https://orcid.org/0009-0003-8852-7105"},"institutions":[{"id":"https://openalex.org/I1315810332","display_name":"Altair Engineering (United States)","ror":"https://ror.org/05939ef94","country_code":"US","type":"company","lineage":["https://openalex.org/I1315810332"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"M. Jeffrey Mei","raw_affiliation_strings":["Wayfair LLC, United States"],"affiliations":[{"raw_affiliation_string":"Wayfair LLC, United States","institution_ids":["https://openalex.org/I1315810332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074056888","display_name":"Cole Zuber","orcid":null},"institutions":[{"id":"https://openalex.org/I1315810332","display_name":"Altair Engineering (United States)","ror":"https://ror.org/05939ef94","country_code":"US","type":"company","lineage":["https://openalex.org/I1315810332"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cole Zuber","raw_affiliation_strings":["Wayfair LLC, United States"],"affiliations":[{"raw_affiliation_string":"Wayfair LLC, United States","institution_ids":["https://openalex.org/I1315810332"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000690076","display_name":"Yasaman Khazaeni","orcid":"https://orcid.org/0000-0002-4759-1528"},"institutions":[{"id":"https://openalex.org/I1315810332","display_name":"Altair Engineering (United States)","ror":"https://ror.org/05939ef94","country_code":"US","type":"company","lineage":["https://openalex.org/I1315810332"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yasaman Khazaeni","raw_affiliation_strings":["Wayfair LLC, United States"],"affiliations":[{"raw_affiliation_string":"Wayfair LLC, United States","institution_ids":["https://openalex.org/I1315810332"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058627159"],"corresponding_institution_ids":["https://openalex.org/I1315810332"],"apc_list":null,"apc_paid":null,"fwci":1.0613,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.8075498,"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":"546","last_page":"549"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9889000058174133,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9889000058174133,"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":0.9783999919891357,"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":0.9772999882698059,"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/computer-science","display_name":"Computer science","score":0.6449382305145264},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5285795331001282},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1883562207221985},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16805073618888855},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.06077486276626587}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6449382305145264},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5285795331001282},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1883562207221985},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16805073618888855},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.06077486276626587}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3523227.3547491","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3523227.3547491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2612690371","https://openalex.org/W2889326414","https://openalex.org/W2952550550"],"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":{"We":[0,79],"apply":[1],"a":[2,64,110],"transformer":[3],"using":[4,84],"sequential":[5],"browse":[6],"history":[7],"to":[8,25,74],"generate":[9],"next-item":[10],"product":[11],"recommendations.":[12],"Interpreting":[13],"the":[14,21,60,97,104],"learned":[15],"item":[16],"embeddings,":[17],"we":[18,62],"show":[19,53],"that":[20],"model":[22,47,77],"is":[23],"able":[24],"implicitly":[26],"learn":[27],"price,":[28],"popularity,":[29],"style":[30],"and":[31,89,107],"functionality":[32],"attributes":[33],"without":[34],"being":[35],"explicitly":[36],"passed":[37],"these":[38],"features":[39],"during":[40],"training.":[41],"Our":[42],"real-life":[43],"test":[44],"of":[45,69,83,100],"this":[46],"on":[48,103],"Wayfair\u2019s":[49],"different":[50],"international":[51],"stores":[52],"mixed":[54],"results":[55],"(but":[56],"overall":[57],"win).":[58],"Diagnosing":[59],"cause,":[61],"identify":[63],"useful":[65],"metric":[66],"(average":[67],"number":[68],"customers":[70],"browsing":[71],"each":[72],"product)":[73],"ensure":[75],"good":[76],"convergence.":[78],"also":[80],"find":[81],"limitations":[82],"standard":[85],"metrics":[86],"like":[87],"recall":[88],"nDCG,":[90],"which":[91],"do":[92],"not":[93],"correctly":[94],"account":[95],"for":[96],"positional":[98],"effects":[99],"showing":[101],"items":[102],"Wayfair":[105],"website,":[106],"empirically":[108],"determine":[109],"more":[111],"accurate":[112],"discount":[113],"factor.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
