{"id":"https://openalex.org/W4318715124","doi":"https://doi.org/10.3233/jcm-226700","title":"The application of advertising logo color design for big data and visual communication technology","display_name":"The application of advertising logo color design for big data and visual communication technology","publication_year":2023,"publication_date":"2023-01-31","ids":{"openalex":"https://openalex.org/W4318715124","doi":"https://doi.org/10.3233/jcm-226700"},"language":"en","primary_location":{"id":"doi:10.3233/jcm-226700","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-226700","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"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 Computational Methods in Sciences and Engineering","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/A5100701226","display_name":"Huan Tian","orcid":"https://orcid.org/0000-0003-2763-8314"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Huan Tian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100701226"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7014,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.92641281,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"23","issue":"3","first_page":"1479","last_page":"1490"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14254","display_name":"Digital Media and Visual Art","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T14254","display_name":"Digital Media and Visual Art","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T12496","display_name":"Color perception and design","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11925","display_name":"Culinary Culture and Tourism","score":0.9695000052452087,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7218419909477234},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6622774600982666},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.652260422706604},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5638362765312195},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5080175399780273},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.4892299175262451},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.48616406321525574},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4726608991622925},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4643357992172241},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46360623836517334},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.4407370090484619},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4338018000125885},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3011038899421692},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25953853130340576},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2434062957763672},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.08535271883010864}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7218419909477234},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6622774600982666},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.652260422706604},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5638362765312195},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5080175399780273},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.4892299175262451},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.48616406321525574},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4726608991622925},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4643357992172241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46360623836517334},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.4407370090484619},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4338018000125885},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3011038899421692},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25953853130340576},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2434062957763672},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.08535271883010864},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jcm-226700","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-226700","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"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 Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2773999813","https://openalex.org/W2884848401","https://openalex.org/W2906985669","https://openalex.org/W2922020698","https://openalex.org/W2999251023","https://openalex.org/W3010380503","https://openalex.org/W3036303940","https://openalex.org/W3036523181","https://openalex.org/W3112564234","https://openalex.org/W3118243225","https://openalex.org/W3127151223","https://openalex.org/W3134455270","https://openalex.org/W3136139370","https://openalex.org/W3152181043","https://openalex.org/W3176942524","https://openalex.org/W3191128608","https://openalex.org/W3193700163","https://openalex.org/W3195393142","https://openalex.org/W3211189945","https://openalex.org/W3211293493","https://openalex.org/W4205228744","https://openalex.org/W4221055806","https://openalex.org/W6757647432","https://openalex.org/W6799698262","https://openalex.org/W6800500547"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W2499527417"],"abstract_inverted_index":{"Color":[0],"is":[1,33,38,109,114,126,132,217],"one":[2],"of":[3,8,20,27,57,65,71,78,88,123,162,188,199],"the":[4,25,41,55,63,69,76,86,117,124,129,158,168,177,185,189,200,212,220],"three":[5],"major":[6],"elements":[7],"print":[9],"advertising,":[10],"and":[11,45,74,91,128,145,154,176,197,225,227],"different":[12,17],"color":[13,28,95,174],"combinations":[14],"can":[15,228],"trigger":[16],"emotional":[18],"experiences":[19],"human":[21],"beings.":[22],"At":[23],"present,":[24],"application":[26,43],"in":[29,31,81],"advertising":[30,98,104],"China":[32],"relatively":[34],"mature,":[35],"but":[36],"it":[37,84,216],"limited":[39],"to":[40,93,171,204],"traditional":[42],"method":[44],"has":[46,222],"not":[47],"been":[48],"combined":[49],"with":[50,135,191],"big":[51,79],"data":[52,80,161],"technology.":[53],"From":[54],"perspective":[56,70],"business":[58,72],"needs,":[59],"this":[60],"research":[61],"analyzes":[62,75],"process":[64],"visual":[66],"creativity":[67],"from":[68],"value-added,":[73],"role":[77],"it.":[82],"Then":[83],"introduces":[85],"semantics":[87,96],"common":[89],"colors":[90],"how":[92],"incorporate":[94],"into":[97],"design.":[99],"And":[100],"a":[101],"sequence":[102],"mining-based":[103],"click-through":[105],"rate":[106],"prediction":[107,178,186],"model":[108,125,221],"proposed.":[110],"The":[111,120],"Criteo":[112],"dataset":[113],"used":[115,166],"as":[116,167],"training":[118],"set.":[119],"AUC":[121,138],"value":[122,131],"0.702":[127],"loss":[130],"0.415.":[133],"Compared":[134],"other":[136],"models,":[137],"values":[139],"increased":[140],"by":[141,150],"10.16%,":[142],"4.70%,":[143],"2.69%":[144],"2.30%,":[146],"respectively.":[147,156],"Losses":[148],"decreased":[149],"10.17%,":[151],"9.19%,":[152],"6.11%":[153],"7.57%,":[155],"Finally,":[157],"online":[159],"shopping":[160,193],"20":[163],"consumers":[164],"was":[165,180,195,208],"test":[169],"set":[170],"predict":[172],"their":[173],"preferences,":[175],"accuracy":[179,187],"about":[181],"70%.":[182],"Among":[183],"them,":[184],"group":[190,201],"stable":[192],"habits":[194],"72.76%,":[196],"that":[198,219],"who":[202],"liked":[203],"try":[205],"new":[206],"things":[207],"70.60%,":[209],"both":[210],"meeting":[211],"expectation.":[213],"Through":[214],"experiments,":[215],"concluded":[218],"good":[223],"performance":[224],"stability,":[226],"more":[229],"accurately":[230],"judge":[231],"consumers\u2019":[232],"consumption":[233],"preferences.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}