{"id":"https://openalex.org/W2070939987","doi":"https://doi.org/10.1145/2346536.2346545","title":"Concept extraction for online shopping","display_name":"Concept extraction for online shopping","publication_year":2012,"publication_date":"2012-08-07","ids":{"openalex":"https://openalex.org/W2070939987","doi":"https://doi.org/10.1145/2346536.2346545","mag":"2070939987"},"language":"en","primary_location":{"id":"doi:10.1145/2346536.2346545","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2346536.2346545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Annual International Conference on Electronic Commerce","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/A5100715816","display_name":"Yongzheng Zhang","orcid":"https://orcid.org/0009-0000-1077-3849"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yongzheng Zhang","raw_affiliation_strings":["eBay Research Labs, San Jose, CA"],"affiliations":[{"raw_affiliation_string":"eBay Research Labs, San Jose, CA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060599158","display_name":"Rajyashree Mukherjee","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"]},{"id":"https://openalex.org/I4210150719","display_name":"eBay (United States)","ror":"https://ror.org/05cnabr44","country_code":"US","type":"company","lineage":["https://openalex.org/I4210150719"]}],"countries":["IE","US"],"is_corresponding":false,"raw_author_name":"Rajyashree Mukherjee","raw_affiliation_strings":["eBay Inc., San Jose, CA","eBay, Inc., San Jose, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"eBay Inc., San Jose, CA","institution_ids":["https://openalex.org/I4210150719"]},{"raw_affiliation_string":"eBay, Inc., San Jose, CA#TAB#","institution_ids":["https://openalex.org/I1321826891"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060112271","display_name":"Benny Soetarman","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"]},{"id":"https://openalex.org/I4210150719","display_name":"eBay (United States)","ror":"https://ror.org/05cnabr44","country_code":"US","type":"company","lineage":["https://openalex.org/I4210150719"]}],"countries":["IE","US"],"is_corresponding":false,"raw_author_name":"Benny Soetarman","raw_affiliation_strings":["eBay Inc., San Jose, CA","eBay, Inc., San Jose, CA#TAB#"],"affiliations":[{"raw_affiliation_string":"eBay Inc., San Jose, CA","institution_ids":["https://openalex.org/I4210150719"]},{"raw_affiliation_string":"eBay, Inc., San Jose, CA#TAB#","institution_ids":["https://openalex.org/I1321826891"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100715816"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1112527,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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/T13083","display_name":"Advanced Text Analysis Techniques","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8189716339111328},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6340663433074951},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.5523039102554321},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.517686128616333},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4968750774860382},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.4550829529762268},{"id":"https://openalex.org/keywords/upgrade","display_name":"Upgrade","score":0.445998877286911},{"id":"https://openalex.org/keywords/html-element","display_name":"HTML element","score":0.4253208339214325},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.41739439964294434},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4146738350391388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38086241483688354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3651464581489563},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3531785011291504},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.31896519660949707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8189716339111328},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6340663433074951},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.5523039102554321},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.517686128616333},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4968750774860382},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.4550829529762268},{"id":"https://openalex.org/C2780615140","wikidata":"https://www.wikidata.org/wiki/Q920419","display_name":"Upgrade","level":2,"score":0.445998877286911},{"id":"https://openalex.org/C81639021","wikidata":"https://www.wikidata.org/wiki/Q179551","display_name":"HTML element","level":3,"score":0.4253208339214325},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.41739439964294434},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4146738350391388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38086241483688354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3651464581489563},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3531785011291504},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.31896519660949707},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2346536.2346545","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2346536.2346545","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th Annual International Conference on Electronic Commerce","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W171888312","https://openalex.org/W1486865875","https://openalex.org/W1494273468","https://openalex.org/W1551387706","https://openalex.org/W1907578970","https://openalex.org/W2049107599","https://openalex.org/W2049119796","https://openalex.org/W2060772621","https://openalex.org/W2107828735","https://openalex.org/W2126032162","https://openalex.org/W2138954094","https://openalex.org/W2145766604","https://openalex.org/W2164067199"],"related_works":["https://openalex.org/W4317422759","https://openalex.org/W4385770464","https://openalex.org/W1656419755","https://openalex.org/W1539890081","https://openalex.org/W4224262160","https://openalex.org/W2373402338","https://openalex.org/W2114620981","https://openalex.org/W4302086745","https://openalex.org/W2626998250","https://openalex.org/W2411679502"],"abstract_inverted_index":{"Online":[0,9],"shopping":[1,10,15,30],"has":[2],"been":[3],"more":[4,6,25],"and":[5,14,71,86,162,172],"popular":[7],"nowadays.":[8],"starts":[11,17],"with":[12,18,97],"research":[13,16],"search.":[19],"In":[20,58,134],"order":[21,135],"to":[22,39,127,136,150,164,174],"provide":[23],"a":[24,43,52,102,109,143],"streamlined":[26],"user":[27],"experience":[28],"in":[29,131,153,187],"related":[31],"research,":[32],"it":[33],"is":[34,46,51,77,101,124],"critical":[35],"for":[36,55,190],"e-commerce":[37],"sites":[38],"accurately":[40],"identify":[41],"what":[42],"Web":[44],"page":[45,152],"talking":[47],"about.":[48],"Concept":[49,68,94],"extraction":[50,65,189],"nice":[53],"solution":[54],"this":[56,59],"purpose.":[57],"paper,":[60],"we":[61,141,168],"investigate":[62],"two":[63,139],"concept":[64,188],"methods:":[66],"Automatic":[67,72],"Extractor":[69,95],"(ACE)":[70],"Keyphrase":[73],"Extraction":[74],"(KEA).":[75],"ACE":[76,91],"an":[78],"unsupervised":[79],"method":[80],"that":[81,182],"looks":[82],"at":[83],"both":[84],"text":[85],"HTML":[87],"tags.":[88],"We":[89,156],"upgrade":[90],"into":[92],"Improved":[93],"(ICE)":[96],"significant":[98],"improvements.":[99],"KEA":[100,163,186],"supervised":[103],"learning":[104],"system.":[105],"It":[106],"first":[107],"builds":[108],"Naive":[110],"Bayes":[111],"model":[112,123],"from":[113],"training":[114],"documents":[115],"where":[116],"concepts":[117,130,149],"are":[118],"manually":[119,147],"assigned.":[120],"The":[121,178],"trained":[122],"then":[125],"used":[126],"automatically":[128],"find":[129],"new":[132],"documents.":[133],"evaluate":[137,175],"the":[138,154,176],"systems,":[140],"create":[142],"gold":[144],"standard":[145],"by":[146],"assigning":[148],"each":[151],"collection.":[155],"tune":[157],"different":[158],"parameters":[159],"of":[160],"ICE":[161,183],"generate":[165],"concepts.":[166,177],"And":[167],"use":[169],"precision,":[170],"recall":[171],"F1":[173],"experimental":[179],"results":[180],"demonstrate":[181],"significantly":[184],"outperforms":[185],"online":[191],"shopping.":[192]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}