{"id":"https://openalex.org/W2340809461","doi":"https://doi.org/10.1145/2857054","title":"Unsupervised Extraction of Popular Product Attributes from E-Commerce Web Sites by Considering Customer Reviews","display_name":"Unsupervised Extraction of Popular Product Attributes from E-Commerce Web Sites by Considering Customer Reviews","publication_year":2016,"publication_date":"2016-04-15","ids":{"openalex":"https://openalex.org/W2340809461","doi":"https://doi.org/10.1145/2857054","mag":"2340809461"},"language":"en","primary_location":{"id":"doi:10.1145/2857054","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2857054","pdf_url":null,"source":{"id":"https://openalex.org/S97833917","display_name":"ACM Transactions on Internet Technology","issn_l":"1533-5399","issn":["1533-5399","1557-6051"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Internet Technology","raw_type":"journal-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/A5086674741","display_name":"Lidong Bing","orcid":"https://orcid.org/0000-0003-4565-6313"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lidong Bing","raw_affiliation_strings":["Machine Learning Department, Carnegie Mellon University, PA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4565-6313","affiliations":[{"raw_affiliation_string":"Machine Learning Department, Carnegie Mellon University, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101515462","display_name":"Tak-Lam Wong","orcid":"https://orcid.org/0000-0002-4581-9912"},"institutions":[{"id":"https://openalex.org/I4210086892","display_name":"Education University of Hong Kong","ror":"https://ror.org/000t0f062","country_code":"HK","type":"education","lineage":["https://openalex.org/I4210086892"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Tak-Lam Wong","raw_affiliation_strings":["Department of Mathematics and Information Technology, The Hong Kong Institute of Education, N. T., Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Information Technology, The Hong Kong Institute of Education, N. T., Hong Kong","institution_ids":["https://openalex.org/I4210086892"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018582154","display_name":"Wai Lam","orcid":"https://orcid.org/0000-0001-5479-377X"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wai Lam","raw_affiliation_strings":["Key Laboratory of High Confidence Software Technologies, Ministry of Education (CUHK Sub-Lab), and Department of Systems Engineering &amp; Engineering Management, The Chinese University of Hong Kong, N.T., Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of High Confidence Software Technologies, Ministry of Education (CUHK Sub-Lab), and Department of Systems Engineering &amp; Engineering Management, The Chinese University of Hong Kong, N.T., Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086674741"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":11.043,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.98138121,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"16","issue":"2","first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9988999962806702,"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":0.9973999857902527,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9955000281333923,"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":0.8702983856201172},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.6129485368728638},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5394118428230286},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.5096149444580078},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5082921385765076},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4999876022338867},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.46134525537490845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3824017643928528},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34346020221710205},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.334712415933609}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8702983856201172},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.6129485368728638},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5394118428230286},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.5096149444580078},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5082921385765076},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4999876022338867},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.46134525537490845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3824017643928528},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34346020221710205},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.334712415933609},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2857054","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2857054","pdf_url":null,"source":{"id":"https://openalex.org/S97833917","display_name":"ACM Transactions on Internet Technology","issn_l":"1533-5399","issn":["1533-5399","1557-6051"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Internet Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2175915926","display_name":null,"funder_award_id":"RG 18/2014-2015 and RG 30/2015-2016R","funder_id":"https://openalex.org/F4320322867","funder_display_name":"Hong Kong Institute of Education"}],"funders":[{"id":"https://openalex.org/F4320322867","display_name":"Hong Kong Institute of Education","ror":"https://ror.org/000t0f062"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1516373678","https://openalex.org/W1581485226","https://openalex.org/W1880262756","https://openalex.org/W1932345741","https://openalex.org/W1969221592","https://openalex.org/W1971889796","https://openalex.org/W1975879668","https://openalex.org/W1994382199","https://openalex.org/W2007427105","https://openalex.org/W2015551056","https://openalex.org/W2026691180","https://openalex.org/W2028485238","https://openalex.org/W2029331575","https://openalex.org/W2030262638","https://openalex.org/W2035265584","https://openalex.org/W2081375810","https://openalex.org/W2083563309","https://openalex.org/W2096110600","https://openalex.org/W2099283723","https://openalex.org/W2101534792","https://openalex.org/W2106985565","https://openalex.org/W2117027043","https://openalex.org/W2121751007","https://openalex.org/W2125247664","https://openalex.org/W2128884808","https://openalex.org/W2131646590","https://openalex.org/W2135186040","https://openalex.org/W2141631351","https://openalex.org/W2142385501","https://openalex.org/W2146446188","https://openalex.org/W2147880316","https://openalex.org/W2150956310","https://openalex.org/W2155328222","https://openalex.org/W2157316480","https://openalex.org/W2160409620","https://openalex.org/W2160660844","https://openalex.org/W2166817967","https://openalex.org/W2168358004","https://openalex.org/W2170534931","https://openalex.org/W2531563875","https://openalex.org/W2912218307","https://openalex.org/W2913668833","https://openalex.org/W3146306708"],"related_works":["https://openalex.org/W2381242807","https://openalex.org/W2751208925","https://openalex.org/W3126131230","https://openalex.org/W2347541121","https://openalex.org/W4288804799","https://openalex.org/W2080951048","https://openalex.org/W2163278254","https://openalex.org/W1574213390","https://openalex.org/W2011986966","https://openalex.org/W3183792991"],"abstract_inverted_index":{"We":[0],"develop":[1,92],"an":[2,104],"unsupervised":[3,105],"learning":[4],"framework":[5,37,68,108],"for":[6],"extracting":[7],"popular":[8,44,57],"product":[9,12,33,45,62,81],"attributes":[10],"from":[11,16,47],"description":[13,82],"pages":[14,83],"originated":[15],"different":[17],"E-commerce":[18],"Web":[19,120],"sites.":[20],"Unlike":[21],"existing":[22],"information":[23],"extraction":[24],"methods":[25],"that":[26,70],"do":[27],"not":[28,41],"consider":[29],"the":[30,60,74,78,85,123,136],"popularity":[31],"of":[32,50,66,116,125,140],"attributes,":[34],"our":[35,67,107,141],"proposed":[36],"is":[38,69],"able":[39],"to":[40,59,113,134],"only":[42],"detect":[43],"features":[46,58],"a":[48,93,114],"collection":[49],"customer":[51,88],"reviews":[52],"but":[53],"also":[54],"map":[55],"these":[56],"related":[61],"attributes.":[63],"One":[64],"novelty":[65],"it":[71],"can":[72,109],"bridge":[73],"vocabulary":[75],"gap":[76],"between":[77],"text":[79,86],"in":[80,87],"and":[84,119,138],"reviews.":[89],"Technically,":[90],"we":[91],"discriminative":[94],"graphical":[95],"model":[96],"based":[97],"on":[98],"hidden":[99],"Conditional":[100],"Random":[101],"Fields.":[102],"As":[103],"model,":[106],"be":[110],"easily":[111],"applied":[112],"variety":[115],"new":[117],"domains":[118],"sites":[121],"without":[122],"need":[124],"labeling":[126],"training":[127],"samples.":[128],"Extensive":[129],"experiments":[130],"have":[131],"been":[132],"conducted":[133],"demonstrate":[135],"effectiveness":[137],"robustness":[139],"framework.":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
