{"id":"https://openalex.org/W4327737119","doi":"https://doi.org/10.1142/s0218001423590115","title":"A GRU-CNN Algorithm Leveraging on User Reviews","display_name":"A GRU-CNN Algorithm Leveraging on User Reviews","publication_year":2023,"publication_date":"2023-03-17","ids":{"openalex":"https://openalex.org/W4327737119","doi":"https://doi.org/10.1142/s0218001423590115"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001423590115","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001423590115","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5102506660","display_name":"Chao Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]},{"id":"https://openalex.org/I4210105569","display_name":"Jiangsu Vocational Institute of Architectural Technology","ror":"https://ror.org/01d4y8v03","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105569"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Chen","raw_affiliation_strings":["School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221000, P. R. China","School of Information and Electronics Engineering, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221000, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221000, P. R. China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"School of Information and Electronics Engineering, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221000, P. R. China","institution_ids":["https://openalex.org/I4210105569"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yongsheng Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]},{"id":"https://openalex.org/I2800372957","display_name":"China Electronics Technology Group Corporation","ror":"https://ror.org/0098hst83","country_code":"CN","type":"company","lineage":["https://openalex.org/I2800372957"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongsheng Xia","raw_affiliation_strings":["School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221000, P. R. China","The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210000, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221000, P. R. China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210000, P. R. China","institution_ids":["https://openalex.org/I2800372957"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023749072","display_name":"Zhaoli Wu","orcid":"https://orcid.org/0000-0002-2907-4703"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoli Wu","raw_affiliation_strings":["School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221000, P. R. China","Xuzhou Intelligent Machine Vision Engineering and Technology Center, Xuzhou 221000, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221000, P. R. China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"Xuzhou Intelligent Machine Vision Engineering and Technology Center, Xuzhou 221000, P. R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101549520","display_name":"Yandong Liu","orcid":"https://orcid.org/0000-0002-3035-9618"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yandong Liu","raw_affiliation_strings":["Xuzhou City Hospital of TCM, Xuzhou 221000, P. R. China"],"affiliations":[{"raw_affiliation_string":"Xuzhou City Hospital of TCM, Xuzhou 221000, P. R. China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108047067","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0003-2001-8139"},"institutions":[{"id":"https://openalex.org/I4210105569","display_name":"Jiangsu Vocational Institute of Architectural Technology","ror":"https://ror.org/01d4y8v03","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105569"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["School of Information and Electronics Engineering, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221000, P. R. China","Xuzhou Intelligent Machine Vision Engineering and Technology Center, Xuzhou 221000, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics Engineering, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221000, P. R. China","institution_ids":["https://openalex.org/I4210105569"]},{"raw_affiliation_string":"Xuzhou Intelligent Machine Vision Engineering and Technology Center, Xuzhou 221000, P. R. China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25757504","https://openalex.org/I2800372957"],"apc_list":null,"apc_paid":null,"fwci":0.1624,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41082243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"37","issue":"06","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9943000078201294,"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":0.7703816294670105},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6620231866836548},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.6289210319519043},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6283677816390991},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.47135868668556213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4619024693965912},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4415857791900635},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4272933304309845},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.42261725664138794},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41889724135398865}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7703816294670105},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6620231866836548},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.6289210319519043},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6283677816390991},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.47135868668556213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4619024693965912},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4415857791900635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4272933304309845},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.42261725664138794},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41889724135398865},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001423590115","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001423590115","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1641537003","display_name":null,"funder_award_id":"52074273","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1486562431","https://openalex.org/W2089458547","https://openalex.org/W2103006662","https://openalex.org/W2165835468","https://openalex.org/W2515144511","https://openalex.org/W2554897051","https://openalex.org/W2738273842","https://openalex.org/W2949574487","https://openalex.org/W2977038247"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4288390103","https://openalex.org/W4317039510","https://openalex.org/W1657011257"],"abstract_inverted_index":{"Personalized":[0],"recommendation":[1,62,111,119,137],"systems":[2],"learn":[3],"user":[4],"preference":[5,166],"characteristics":[6,256],"by":[7,17,70,259,279],"analyzing":[8,114],"behavioral":[9],"data":[10],"such":[11],"as":[12],"ratings":[13],"and":[14,22,42,134,239,291],"comments":[15],"generated":[16],"users":[18,28,34],"in":[19,31,56,77,81,182,206,232],"the":[20,73,78,90,98,109,124,135,141,150,163,170,179,183,203,210,233,276,280],"Internet,":[21],"provide":[23],"precise":[24],"recommendations":[25],"for":[26,48,66],"individual":[27],"accordingly.":[29],"However,":[30,80],"real":[32,272],"life,":[33],"often":[35],"conduct":[36],"group":[37,40,61,85,93,101,103,110,118,128,136,146,152,180,186,220,267,296],"activities":[38],"like":[39],"buying":[41],"traveling":[43],"together.":[44],"How":[45],"to":[46,97,108,145,198],"recommend":[47],"groups":[49,69],"has":[50],"become":[51],"a":[52,216],"heated":[53],"research":[54],"topic":[55,191,237,251],"recent":[57],"years.":[58],"Most":[59],"existing":[60,117,151,301],"algorithms":[63,154],"are":[64,87,95],"recommended":[65],"given":[67],"divided":[68],"collectively":[71],"combining":[72],"preferences":[74],"of":[75,92,100,116,149,172,202,295,300],"members":[76],"group.":[79],"most":[82,148],"cases,":[83],"users\u2019":[84,164,173,190,249,288],"properties":[86],"fickle.":[88],"As":[89],"results":[91,294],"detection":[94,104,129,153,221,268,297],"decisive":[96],"performance":[99],"recommendation,":[102],"is":[105,196],"particularly":[106],"important":[107],"algorithm.":[112],"After":[113],"problems":[115],"algorithms,":[120],"this":[121,213],"paper":[122,214],"proposes":[123,215],"density":[125,217,261],"peak":[126,218,262],"clustering":[127,219,263],"algorithm":[130,138,222,264],"based":[131,139,188,223,245],"on":[132,140,162,189,224,246,271],"GRU-CNN":[133],"mechanism.":[142],"With":[143],"respect":[144],"detection,":[147],"suffer":[155],"from":[156,194],"certain":[157],"deficiencies:":[158],"First,":[159],"depending":[160],"solely":[161],"static":[165],"features":[167,192,205,277],"while":[168],"ignoring":[169],"variation":[171],"interest":[174],"over":[175],"time":[176,242],"when":[177],"finding":[178],"structure":[181],"network;":[184],"second,":[185],"division":[187],"extracted":[193],"reviews":[195,234],"difficult":[197],"support":[199],"further":[200],"digging":[201],"in-depth":[204],"reviews.":[207],"To":[208],"address":[209],"above-mentioned":[211],"problems,":[212],"CNN-GRU.":[225],"It":[226],"would":[227],"first":[228],"extract":[229],"representative":[230],"keywords":[231],"with":[235,254],"LDA":[236],"model,":[238],"then":[240],"model":[241,285],"series":[243],"information":[244],"GRU":[247],"attaining":[248],"dynamic":[250,289],"features.":[252],"Coupling":[253],"deeper":[255],"cored":[257],"out":[258],"CNN,":[260],"completes":[265],"its":[266],"finally.":[269],"Experiments":[270],"dataset":[273],"indicate":[274],"that":[275,299],"mined":[278],"fusion":[281],"depth":[282],"neural":[283],"network":[284],"effectively":[286],"capture":[287],"preferences,":[290],"yield":[292],"better":[293],"than":[298],"algorithms.":[302]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}
