{"id":"https://openalex.org/W4387847396","doi":"https://doi.org/10.1145/3583780.3615510","title":"Proactive and Automatic Detection of Product Misclassifications at Massive Scale","display_name":"Proactive and Automatic Detection of Product Misclassifications at Massive Scale","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387847396","doi":"https://doi.org/10.1145/3583780.3615510"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615510","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3583780.3615510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","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/A5023059086","display_name":"Ling Jiang","orcid":"https://orcid.org/0000-0001-5175-6615"},"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":true,"raw_author_name":"Ling Jiang","raw_affiliation_strings":["Amazon, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062859482","display_name":"X. Chu","orcid":"https://orcid.org/0000-0002-0753-9610"},"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":"Xiaoyu Chu","raw_affiliation_strings":["Amazon, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065607417","display_name":"Saaransh Gulati","orcid":"https://orcid.org/0009-0008-1248-4133"},"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":"Saaransh Gulati","raw_affiliation_strings":["Amazon, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056790572","display_name":"Pulkit Garg","orcid":"https://orcid.org/0009-0007-4996-6833"},"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":"Pulkit Garg","raw_affiliation_strings":["Amazon, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035143245","display_name":"Andrew Borthwick","orcid":"https://orcid.org/0000-0003-1192-0032"},"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":"Andrew Borthwick","raw_affiliation_strings":["Amazon, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080086968","display_name":"Gang Luo","orcid":"https://orcid.org/0000-0001-7217-4008"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"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":"Gang Luo","raw_affiliation_strings":["Amazon &amp; University of Washington, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon &amp; University of Washington, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040","https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5023059086"],"corresponding_institution_ids":["https://openalex.org/I1311688040"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13518087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"5242","last_page":"5243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.975600004196167,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.975600004196167,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9635999798774719,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9556000232696533,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8087997436523438},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.5177009105682373},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5109723806381226},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.503771960735321},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4950772821903229},{"id":"https://openalex.org/keywords/reputation","display_name":"Reputation","score":0.49283337593078613},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4839244484901428},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44686830043792725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3688855767250061},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0870300829410553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8087997436523438},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.5177009105682373},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5109723806381226},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.503771960735321},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4950772821903229},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.49283337593078613},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4839244484901428},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44686830043792725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3688855767250061},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0870300829410553},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583780.3615510","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1145/3583780.3615510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W3093858897"],"related_works":["https://openalex.org/W4392337488","https://openalex.org/W2102271161","https://openalex.org/W4313425421","https://openalex.org/W4388714791","https://openalex.org/W2361883455","https://openalex.org/W2952832228","https://openalex.org/W2241227758","https://openalex.org/W2909324362","https://openalex.org/W2372868951","https://openalex.org/W2464412681"],"abstract_inverted_index":{"In":[0,72],"e-commerce,":[1],"product":[2,33,97],"classification":[3,54,98,107],"is":[4],"widely":[5],"used":[6],"for":[7],"various":[8],"purposes.":[9],"Misclassifying":[10],"products":[11],"can":[12,43],"cause":[13],"compliance":[14],"issues":[15],"and":[16,80,113,128,134],"hurt":[17],"the":[18,106],"company's":[19],"reputation.":[20],"To":[21],"address":[22],"this":[23,59,73],"problem,":[24],"we":[25,62,75,83],"propose":[26],"an":[27,101],"automated":[28],"system":[29,86,110,138],"to":[30,64,87,125,131],"proactively":[31],"detect":[32,66],"misclassifications":[34,67],"by":[35],"overcoming":[36],"several":[37],"challenges.":[38],"A":[39],"large":[40],"e-commerce":[41],"retailer":[42],"sell":[44],"billions":[45],"of":[46,53,95,103,105],"distinct":[47],"products,":[48],"on":[49,92],"which":[50,117],"many":[51,115,122],"thousands":[52],"tasks":[55],"are":[56],"performed.":[57],"At":[58],"massive":[60],"scale,":[61],"need":[63],"quickly":[65],"under":[68],"a":[69,93,120],"limited":[70],"budget.":[71],"talk,":[74],"point":[76],"out":[77],"these":[78],"challenges":[79],"show":[81],"how":[82],"design":[84],"our":[85,109,137],"handle":[88],"them.":[89],"When":[90],"evaluated":[91],"set":[94],"Amazon's":[96],"data,":[99],"at":[100],"overhead":[102],"<10%":[104],"cost,":[108],"automatically":[111],"identified":[112],"corrected":[114],"misclassifications,":[116],"would":[118],"take":[119],"human":[121],"thousand":[123],"years":[124,130],"manually":[126,132],"find":[127],"14.6":[129],"review":[133],"correct":[135],"if":[136],"were":[139],"not":[140],"used.":[141]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
