{"id":"https://openalex.org/W4378363973","doi":"https://doi.org/10.3233/jifs-224532","title":"Research on dual-channel user portrait construction method based on DPCNN-BiGRU and attention mechanism","display_name":"Research on dual-channel user portrait construction method based on DPCNN-BiGRU and attention mechanism","publication_year":2023,"publication_date":"2023-05-26","ids":{"openalex":"https://openalex.org/W4378363973","doi":"https://doi.org/10.3233/jifs-224532"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-224532","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-224532","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5091109002","display_name":"Hongyong Leng","orcid":"https://orcid.org/0000-0002-4792-2470"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongyong Leng","raw_affiliation_strings":["School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China","School of Software, XinJiang University, Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Software, XinJiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026946216","display_name":"Jinxin Shao","orcid":"https://orcid.org/0000-0001-7808-9189"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinxin Shao","raw_affiliation_strings":["School of Software, XinJiang University, Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, XinJiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443057","display_name":"Zhe Zhang","orcid":"https://orcid.org/0009-0002-3030-9036"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Zhang","raw_affiliation_strings":["School of Software, XinJiang University, Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, XinJiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002981402","display_name":"Yurong Qian","orcid":"https://orcid.org/0000-0001-6564-4745"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yurong Qian","raw_affiliation_strings":["School of Software, XinJiang University, Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, XinJiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069626711","display_name":"Mengnan Ma","orcid":"https://orcid.org/0000-0002-2249-0317"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengnan Ma","raw_affiliation_strings":["School of Software, XinJiang University, Urumqi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, XinJiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101419199","display_name":"Zichen Li","orcid":"https://orcid.org/0000-0003-1965-1404"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zichen Li","raw_affiliation_strings":["Big Data and Artificial Intelligence Academy, Guangdong Water Conservancy and Electricity Vocational and Technical College, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Big Data and Artificial Intelligence Academy, Guangdong Water Conservancy and Electricity Vocational and Technical College, Guangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5091109002"],"corresponding_institution_ids":["https://openalex.org/I125839683","https://openalex.org/I96908189"],"apc_list":null,"apc_paid":null,"fwci":0.683,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.7078744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"45","issue":"2","first_page":"2579","last_page":"2591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9731000065803528,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9517999887466431,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.77519291639328},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6819503903388977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5944356322288513},{"id":"https://openalex.org/keywords/pyramid","display_name":"Pyramid (geometry)","score":0.582198977470398},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.565028965473175},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5223007202148438},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4988250732421875},{"id":"https://openalex.org/keywords/portrait","display_name":"Portrait","score":0.436138391494751},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.42290934920310974},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4149254858493805},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3973132371902466},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3633382320404053},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.11818107962608337},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09822878241539001},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0670541524887085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77519291639328},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6819503903388977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5944356322288513},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.582198977470398},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.565028965473175},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5223007202148438},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4988250732421875},{"id":"https://openalex.org/C162462552","wikidata":"https://www.wikidata.org/wiki/Q134307","display_name":"Portrait","level":2,"score":0.436138391494751},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.42290934920310974},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4149254858493805},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3973132371902466},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3633382320404053},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.11818107962608337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09822878241539001},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0670541524887085},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-224532","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-224532","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1988068022","https://openalex.org/W2025153046","https://openalex.org/W2037710288","https://openalex.org/W2081456048","https://openalex.org/W2095976990","https://openalex.org/W2146935111","https://openalex.org/W2963145593","https://openalex.org/W2977540023","https://openalex.org/W4236791902","https://openalex.org/W4283207616","https://openalex.org/W6681699474"],"related_works":["https://openalex.org/W3169920643","https://openalex.org/W2360001249","https://openalex.org/W594086971","https://openalex.org/W2031725242","https://openalex.org/W2315550989","https://openalex.org/W2141684174","https://openalex.org/W27177127","https://openalex.org/W4383739071","https://openalex.org/W2358709380","https://openalex.org/W2950297322"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,47,59,80,91,95,99,110,116,121,125],"problem":[3],"that":[4,120],"single-channel":[5],"neural":[6],"networks":[7],"cannot":[8],"fully":[9],"extract":[10],"text":[11,81],"semantic":[12,51],"features":[13,52,75,78,97],"in":[14],"traditional":[15],"user":[16,25,112],"portrait":[17,26,113],"construction":[18],"methods,":[19],"this":[20],"paper":[21],"proposes":[22],"a":[23],"dual-channel":[24,122],"model":[27,35,123],"based":[28],"on":[29,109],"DPCNN-BIGRU":[30],"and":[31,43,53,56,68,76,85,104,115],"attention":[32,92],"mechanism.":[33,93],"The":[34],"first":[36],"uses":[37],"Bidirectional":[38,69],"Encoder":[39],"Representation":[40],"from":[41],"Transformers(Bert)":[42],"CK-means+":[44],"to":[45],"obtain":[46],"fusion":[48],"vector":[49,60],"of":[50,79,98],"topic":[54],"features,":[55],"then":[57,86],"feeds":[58],"into":[61],"Deep":[62,74],"Pyramid":[63],"Convolutional":[64],"Neural":[65],"Networks":[66],"(DPCNN)":[67],"Gated":[70],"Recurrent":[71],"Unit":[72],"(BiGRU).":[73],"global":[77],"are":[82,88,102],"obtained":[83],"simultaneously,":[84],"weights":[87],"assigned":[89],"by":[90],"Finally,":[94],"output":[96],"dual":[100],"channels":[101],"fused":[103],"classified.":[105],"It":[106],"is":[107],"tested":[108],"Sogou":[111],"datasets,":[114],"experimental":[117],"results":[118],"prove":[119],"outperforms":[124],"baseline":[126],"model.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}