{"id":"https://openalex.org/W3031347556","doi":"https://doi.org/10.1145/3383972.3383989","title":"Temporal Multiple-convolutional Network for Commodity Classification of Online Retail Platform Data","display_name":"Temporal Multiple-convolutional Network for Commodity Classification of Online Retail Platform Data","publication_year":2020,"publication_date":"2020-02-15","ids":{"openalex":"https://openalex.org/W3031347556","doi":"https://doi.org/10.1145/3383972.3383989","mag":"3031347556"},"language":"en","primary_location":{"id":"doi:10.1145/3383972.3383989","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383972.3383989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 12th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5051509417","display_name":"Changhong Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changhong Zhong","raw_affiliation_strings":["College of Computer and Information Engineering, Tianjin Normal University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067784030","display_name":"Lifen Jiang","orcid":"https://orcid.org/0000-0002-1546-8189"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifen Jiang","raw_affiliation_strings":["College of Computer and Information Engineering, Tianjin Normal University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047270852","display_name":"Yan Liang","orcid":"https://orcid.org/0000-0002-5136-4432"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liang","raw_affiliation_strings":["College of Computer and Information Engineering, Tianjin Normal University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101563676","display_name":"Huazhi Sun","orcid":"https://orcid.org/0000-0002-5003-591X"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huazhi Sun","raw_affiliation_strings":["College of Computer and Information Engineering, Tianjin Normal University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047088715","display_name":"Chunmei Ma","orcid":"https://orcid.org/0000-0002-7931-1674"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunmei Ma","raw_affiliation_strings":["College of Computer and Information Engineering, Tianjin Normal University, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Tianjin Normal University, Tianjin, China","institution_ids":["https://openalex.org/I15062923"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I15062923"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"236","last_page":"241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9958999752998352,"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":0.9958999752998352,"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":0.9952999949455261,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9932000041007996,"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/softmax-function","display_name":"Softmax function","score":0.855027973651886},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7592728137969971},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6834955811500549},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6018157005310059},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5830294489860535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5207028985023499},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44797271490097046},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3281334340572357},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3238556385040283}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.855027973651886},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7592728137969971},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6834955811500549},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6018157005310059},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5830294489860535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5207028985023499},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44797271490097046},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3281334340572357},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3238556385040283}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3383972.3383989","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3383972.3383989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 12th International Conference on Machine Learning and Computing","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":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W80463681","https://openalex.org/W136741500","https://openalex.org/W1583837637","https://openalex.org/W1832693441","https://openalex.org/W2170240176","https://openalex.org/W2194775991","https://openalex.org/W2499811908","https://openalex.org/W2540404261","https://openalex.org/W2792764867","https://openalex.org/W2893235790","https://openalex.org/W2904450029","https://openalex.org/W2914393402","https://openalex.org/W2963012544"],"related_works":["https://openalex.org/W2899027234","https://openalex.org/W4323060069","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3103566983","https://openalex.org/W3029198973"],"abstract_inverted_index":{"With":[0],"the":[1,14,22,49,61,66,71,75,125,134,150,165],"development":[2],"and":[3,74,95,115,119],"popularization":[4],"of":[5,11,31,51,58,63,172,179],"online":[6,15,52,151],"shopping,":[7],"a":[8,82,168],"large":[9],"number":[10],"commodities":[12,41,59],"on":[13,111,149],"retail":[16,53,152],"platform":[17,153],"should":[18],"be":[19],"managed":[20],"through":[21],"multilevel":[23],"category":[24],"system,":[25],"in":[26],"which":[27,89,174],"there":[28],"are":[29,128],"thousands":[30],"categories.":[32],"Automatic":[33],"commodity":[34,169],"classification":[35,83,170],"has":[36,167],"become":[37],"an":[38],"issue.":[39],"Classifying":[40],"according":[42],"to":[43,106,130,143,177],"their":[44],"text":[45,56,67,76],"titles":[46,57,68],"can":[47],"improve":[48],"efficiency":[50],"platforms.":[54],"The":[55,100,161],"contain":[60],"information":[62],"commodities,":[64],"but":[65],"seldom":[69],"follow":[70],"grammar":[72],"rules":[73],"length":[77],"varies":[78],"greatly.":[79],"We":[80,146],"propose":[81],"model,":[84],"Temporal":[85,91],"Multiple-Convolutional":[86,96],"Network":[87],"(TMN),":[88],"combines":[90],"Convolutional":[92],"Network(TCN)":[93],"model":[94,102,107],"Neural":[97],"Network(MCNN)":[98],"model.":[99],"TCN":[101],"is":[103,175],"firstly":[104],"used":[105,129],"sequence":[108],"data":[109],"based":[110],"both":[112],"word":[113],"embedding":[114,117],"character":[116],"respectively,":[118],"generate":[120],"two":[121],"output":[122,138],"vectors.":[123,136],"Then,":[124],"MCNN":[126],"models":[127],"extract":[131],"features":[132],"from":[133],"abstract":[135],"Finally,":[137],"layer":[139],"employs":[140],"softmax":[141],"function":[142],"classify":[144],"commodities.":[145],"conduct":[147],"experiment":[148],"dataset":[154],"provided":[155],"by":[156],"Inspur":[157],"Group":[158],"Co.,":[159],"Ltd.":[160],"results":[162],"show":[163],"that":[164,178],"TMN":[166],"accuracy":[171],"84.2%,":[173],"superior":[176],"state-of-the-art":[180],"models.":[181]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
