{"id":"https://openalex.org/W1995341420","doi":"https://doi.org/10.1145/2063576.2063855","title":"Item categorization in the e-commerce domain","display_name":"Item categorization in the e-commerce domain","publication_year":2011,"publication_date":"2011-10-24","ids":{"openalex":"https://openalex.org/W1995341420","doi":"https://doi.org/10.1145/2063576.2063855","mag":"1995341420"},"language":"en","primary_location":{"id":"doi:10.1145/2063576.2063855","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th 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/A5004808253","display_name":"Dan Shen","orcid":"https://orcid.org/0000-0003-1834-5456"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dan Shen","raw_affiliation_strings":["eBay Research Labs, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"eBay Research Labs, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112370049","display_name":"Jean David Ruvini","orcid":null},"institutions":[{"id":"https://openalex.org/I1321826891","display_name":"eBay (Ireland)","ror":"https://ror.org/02b00s810","country_code":"IE","type":"company","lineage":["https://openalex.org/I1321826891","https://openalex.org/I4210150719"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Jean David Ruvini","raw_affiliation_strings":["eBay Research Labs, San Jose, CA, USA","eBay Research Lab, San Jose, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"eBay Research Labs, San Jose, CA, USA","institution_ids":[]},{"raw_affiliation_string":"eBay Research Lab, San Jose, CA, USA#TAB#","institution_ids":["https://openalex.org/I1321826891"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055224128","display_name":"Manas Somaiya","orcid":null},"institutions":[{"id":"https://openalex.org/I1321826891","display_name":"eBay (Ireland)","ror":"https://ror.org/02b00s810","country_code":"IE","type":"company","lineage":["https://openalex.org/I1321826891","https://openalex.org/I4210150719"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Manas Somaiya","raw_affiliation_strings":["eBay Research Labs, San Jose, CA, USA","eBay Research Lab, San Jose, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"eBay Research Labs, San Jose, CA, USA","institution_ids":[]},{"raw_affiliation_string":"eBay Research Lab, San Jose, CA, USA#TAB#","institution_ids":["https://openalex.org/I1321826891"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085284883","display_name":"Neel Sundaresan","orcid":"https://orcid.org/0000-0002-0394-7588"},"institutions":[{"id":"https://openalex.org/I1321826891","display_name":"eBay (Ireland)","ror":"https://ror.org/02b00s810","country_code":"IE","type":"company","lineage":["https://openalex.org/I1321826891","https://openalex.org/I4210150719"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Neel Sundaresan","raw_affiliation_strings":["eBay Research Labs, San Jose, CA, USA","eBay Research Lab, San Jose, CA, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"eBay Research Labs, San Jose, CA, USA","institution_ids":[]},{"raw_affiliation_string":"eBay Research Lab, San Jose, CA, USA#TAB#","institution_ids":["https://openalex.org/I1321826891"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7586,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.8654642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1921","last_page":"1924"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9998999834060669,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9998999834060669,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9933000206947327,"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/T10028","display_name":"Topic Modeling","score":0.9911999702453613,"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":0.7757088541984558},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7102584838867188},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6905546188354492},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6768718957901001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5630187392234802},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5620499849319458},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.5576773285865784},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5561650991439819},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.469165176153183},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4513307809829712},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.44893771409988403},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.41565239429473877},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.41382479667663574},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.41325145959854126},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.366623193025589},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.354658305644989}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7757088541984558},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7102584838867188},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6905546188354492},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6768718957901001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5630187392234802},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5620499849319458},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.5576773285865784},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5561650991439819},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.469165176153183},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4513307809829712},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.44893771409988403},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.41565239429473877},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.41382479667663574},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.41325145959854126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.366623193025589},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.354658305644989},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2063576.2063855","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2063576.2063855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"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":13,"referenced_works":["https://openalex.org/W1487445520","https://openalex.org/W1620204465","https://openalex.org/W2005422315","https://openalex.org/W2008835805","https://openalex.org/W2014566476","https://openalex.org/W2063862666","https://openalex.org/W2118020653","https://openalex.org/W2118585731","https://openalex.org/W2148603752","https://openalex.org/W2508577564","https://openalex.org/W2990138404","https://openalex.org/W6677656871","https://openalex.org/W7071374342"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1001352512","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W2748922771","https://openalex.org/W1987128138"],"abstract_inverted_index":{"Hierarchical":[0],"classification":[1,84,92,122],"is":[2,20,56,65,85,93],"a":[3,8,25,32,42,52,90,100,145,161],"challenging":[4],"problem":[5],"yet":[6],"bears":[7],"broad":[9],"application":[10],"in":[11,16],"real-world":[12],"tasks.":[13],"Item":[14],"categorization":[15],"the":[17,60,86,121,125,157,177,183],"ecommerce":[18],"domain":[19,137],"such":[21,29],"an":[22],"example.":[23],"In":[24,105,127],"large-scale":[26],"industrial":[27],"setting":[28],"as":[30,156],"eBay,":[31],"vast":[33],"amount":[34],"of":[35,45,50,124,160,179,185],"items":[36],"need":[37],"to":[38,110,118,133,148,175],"be":[39],"categorized":[40],"into":[41],"large":[43],"number":[44],"leaf":[46],"categories,":[47,72],"on":[48],"top":[49],"which":[51],"complex":[53],"topic":[54],"hierarchy":[55],"defined.":[57],"Other":[58],"than":[59],"scale":[61],"challenges,":[62],"item":[63],"data":[64],"extremely":[66],"sparse":[67],"and":[68,73,115,139,142,172],"skewed":[69],"distributed":[70],"over":[71],"exhibits":[74],"heterogeneous":[75],"characteristics":[76],"across":[77],"categories.":[78],"A":[79],"common":[80],"strategy":[81],"for":[82],"hierarchical":[83],"\"gates-and-experts\"":[87],"methods,":[88],"where":[89],"high-level":[91],"made":[94],"first":[95],"(the":[96,103],"gates),":[97],"followed":[98],"by":[99],"low-level":[101],"distinction":[102],"experts).":[104],"this":[106],"paper,":[107],"we":[108,129],"propose":[109],"leverage":[111],"domain-specific":[112,188],"feature":[113],"generation":[114],"modeling":[116],"techniques":[117],"greatly":[119],"enhance":[120],"accuracy":[123],"experts.":[126],"particular,":[128],"innovatively":[130],"derive":[131],"features":[132],"encode":[134],"various":[135],"rich":[136],"knowledge":[138],"linguistic":[140],"hints,":[141],"then":[143],"adapt":[144],"SVM-based":[146],"model":[147],"distinguish":[149],"several":[150],"very":[151],"confusing":[152],"category":[153],"groups":[154],"appeared":[155],"performance":[158],"bottleneck":[159],"currently":[162],"deployed":[163],"live":[164],"system":[165],"at":[166],"eBay.":[167],"We":[168],"use":[169],"illustrative":[170],"examples":[171],"empirical":[173],"results":[174],"demonstrate":[176],"effectiveness":[178],"our":[180],"approach,":[181],"particularly":[182],"merit":[184],"smartly":[186],"designed":[187],"features.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":24},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}